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DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210413T140000
DTEND;TZID=UTC:20210413T160000
DTSTAMP:20260618T090521
CREATED:20210309T093257Z
LAST-MODIFIED:20240508T141513Z
UID:10000128-1618322400-1618329600@www.swdtp.ac.uk
SUMMARY:SWDTP-Funded Bespoke Qualitative Research Training: Considerations for engaging in open research and secondary analysis of qualitative data
DESCRIPTION:https://bathreg.onlinesurveys.ac.uk/swdtp-demand-led-session-two-registration-2\nThis session will help qualitative researchers make informed decisions about engaging in open science practices and secondary analysis of qualitative data\, as well as assessing the risks and benefits of open science practices in qualitative inquiry. \nWebinar leader\nDr. Katherine Tamminen is an Associate Professor in the Faculty of Kinesiology & Physical Education at the University of Toronto. Her research program in sport psychology focuses on two main areas: \n\nstress\, coping\, and emotion regulation\nyouth athletes’ experiences in sport and the influence of parents and coaches in youth sport\n\nHer research draws on various qualitative approaches\, including grounded theory\, phenomenology\, and narrative analysis. \nHer work is funded by the Social Sciences and Humanities Research Council of Canada (SSHRC)\, the Canadian Foundation for Innovation\, and the Province of Ontario Ministry of Research and Innovation\, and she has published over 85 research articles and book chapters on the topics of stress\, coping\, emotion\, and youth sport. \nDr. Tamminen is currently the President of the Canadian Society for Psychomotor Learning and Sport Psychology (SCAPPS) and serves as an Associate Editor for the journal International Review of Sport and Exercise Psychology.
URL:https://www.swdtp.ac.uk/event-calendar/considerations-for-engaging-in-open-research-and-secondary-analysis-of-qualitative-data/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210325T140000
DTEND;TZID=UTC:20210325T160000
DTSTAMP:20260618T090521
CREATED:20210309T093101Z
LAST-MODIFIED:20240508T141014Z
UID:10000127-1616680800-1616688000@www.swdtp.ac.uk
SUMMARY:SWDTP-Funded Bespoke Qualitative Research Training: Collecting Qualitative Data using Digital Methods
DESCRIPTION:https://bathreg.onlinesurveys.ac.uk/swdtp-session-one-demand-led-registration\nThis webinar focuses on collecting qualitative data using digital methods. \nIn 2020 Rebecca Whiting and Katrina Pritchard’s book of Collecting Qualitative Data Using Digital Methods was published at SAGE. \nIn this session\, based on this book\, Rebecca and Katrina will use examples from their own research to: \n\nreflexively explore collecting qualitative data using digital methods\ndiscuss challenges\nexamine future developments\n\nWebinar leaders\nDr Rebecca Whiting is a Senior Lecturer in the Department of Organizational Psychology at Birkbeck\, University of London. \nRebecca’s research topics include the discursive construction of work identities\, work-life boundaries\, diversity (particularly age\, gender and class and how they are socially constructed) and invisible work. She is interested in a wide range of qualitative methodologies\, including the use of digital and visual data\, and research ethics. \nShe has published journal articles and book chapters on aspects of qualitative methods\, including in The SAGE Handbook of Qualitative Business and Management Research Methods and the OUP volume\, Unconventional Methodology in Organization and Management Research. \nProf Katrina Pritchard is a Professor in the School of Management\, Swansea University. \nKatrina researches a range of topics related to issues of identity at work. She has published journal articles and book chapters on many aspects of qualitative methods\, including in The SAGE Handbook of Qualitative Business and Management Research Methods (2017) and Symon and Cassell’s Qualitative Organizational Research: Core Methods and Current Challenges (2012). \nKatrina’s methodological interests extend from traditional to creative qualitative methods\, including visual and object-based\, in addition to digital methods.
URL:https://www.swdtp.ac.uk/event-calendar/collecting-qualitative-data-using-digital-methods/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210316T100000
DTEND;TZID=UTC:20210316T120000
DTSTAMP:20260618T090521
CREATED:20210114T155749Z
LAST-MODIFIED:20240508T141014Z
UID:10000123-1615888800-1615896000@www.swdtp.ac.uk
SUMMARY:SWDTP Funded Bespoke Qualitative Research Training: Preparing for speaking-based data collection
DESCRIPTION:This session will start at the point where you are ready to engage with your recruited sample and gather the data you need to help answer your research questions.\nWe will consider the practical steps required to set the scene for rigorous quality data collection. This will include preparing and piloting a research instrument and considering and piloting projective and enabling techniques. \nWe will explore ways of managing participants to maximise rapport\, overcome pitfalls (for example\, tricky power relations)\, and explore the particularities of ‘places’ to conduct your research. \nConducting online research will be an important topic for discussion. A key focus will be on exploring how best to prepare for research that enables meaningful insights from the opening up of creative\, reflexive research participants\, and how to avoid shutting topics and interactions down. \nThe Centre for Qualitative Research is running a series of South West Doctoral Training Partnership (SWDTP)-Funded Bespoke Qualitative Training Workshops. View an overview of all workshops in this series. \nThis workshop is part of the main training package. The main training package focuses on from planning to product: the process of conducting qualitative research. This will consist of a series of 7 bespoke online seminars delivered monthly to up to 50 students by collaborators across the SWDTP universities. \n 
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-funded-bespoke-qualitative-research-training-preparing-for-speaking-based-data-collection/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210309T080000
DTEND;TZID=UTC:20210309T170000
DTSTAMP:20260618T090521
CREATED:20210309T094514Z
LAST-MODIFIED:20240508T141513Z
UID:10000325-1615276800-1615309200@www.swdtp.ac.uk
SUMMARY:SWDTP-Funded Bespoke Qualitative Training: Evaluating Qualitative Research
DESCRIPTION:https://www.bath.ac.uk/events/evaluating-qualitative-research/ \nIn this workshop we will explore how the quality of qualitative research is judged. \nWe discuss the criteria beyond traditional generalisability\, reliability\, replicability\, and validity\, to include: \n\ntrustworthiness (of both processes and results)\nplausibility (of claims to new knowledge)\nrichness (of empirical material)\n\nWorkshop leader\nDr Svetlana Cicmil is Director of Doctoral Research in Business and Law\, at UWE\, Bristol\, an internationally recognised scholar and experienced supervisor and examiner of postgraduate research theses. \nHer professorship is in the social study of global operations\, particularly focusing on management practices in the context of complex projects and the global sustainability agenda. Theoretically and philosophically\, Svetlana’s work is grounded in complexity thinking and Aristotelian notion of phronesis (practical wisdom). She has used a variety of qualitative methods in her research\, including active interviewing and participative discussion groups. \n\n\n\n\n\n\n\n\n\nContact us
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-funded-bespoke-qualitative-training-evaluating-qualitative-research/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210223T100000
DTEND;TZID=UTC:20210223T120000
DTSTAMP:20260618T090521
CREATED:20210114T154338Z
LAST-MODIFIED:20240508T141013Z
UID:10000122-1614074400-1614081600@www.swdtp.ac.uk
SUMMARY:SWDTP Funded Bespoke Qualitative Research Training: Planning and designing qualitative research
DESCRIPTION:In this workshop you’ll be introduced to the fundamentals of designing a good qualitative study.\nThis session will introduce the fundamentals of designing a good qualitative study: \n\nestablishing philosophical underpinnings\nusing theory\nidentifying appropriate methodology and methods\nsampling and saturation\nbeing consistent\nbeing flexible\n\nThe Centre for Qualitative Research is running a series of South West Doctoral Training Partnership (SWDTP)-Funded Bespoke Qualitative Training Workshops. View an overview of all workshops in this series. \nThis workshop is part of the main training package. The main training package focuses on from planning to product: the process of conducting qualitative research. This will consist of a series of 7 bespoke online seminars delivered monthly to up to 50 students by collaborators across the SWDTP universities.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-funded-bespoke-qualitative-research-training-planning-and-designing-qualitative-research/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200519T080000
DTEND;TZID=UTC:20200520T170000
DTSTAMP:20260618T090521
CREATED:20191029T100912Z
LAST-MODIFIED:20240510T090500Z
UID:10000078-1589875200-1589994000@www.swdtp.ac.uk
SUMMARY:NCRM: Introduction to Data Linkage and Analysing Linked Data
DESCRIPTION:This short course is designed to give participants a practical introduction to data linkage and is aimed at both analysts intending to link data themselves and researchers who want to understand more about the linkage process and its implications for analysis of linked data—particularly the implications of linkage error. Day 1 (Introduction to Data Linkage) will cover examples of the uses of data linkage\, data preparation\, and methods for linkage (including deterministic and probabilistic approaches). Day 2 (Introduction to Analysing Linked Data) will cover processing of linked data\, concepts of linkage error and bias\, and handling linkage error in analysis. Examples will be drawn predominantly from health data but the concepts will apply to many other areas. This course includes a mixture of lectures and practical sessions that will enable participants to put theory into practice.\nThe course covers: \n\nOverview of data linkage (data linkage systems\, benefits of data linkage\, types of projects)\nOverview of linkage methods (deterministic and probabilistic\, privacy-preserving)\nThe linkage process (data preparation\, blocking\, classification)\nClassifying linkage designs\nEvaluating linkage quality and bias (types of error\, analysis of linked data)\nReporting analysis of linked data\nPractical sessions (no coding required; see below)\n\n  \nBy the end of the course participants will: \n\nUnderstand the background and theory of data linkage methods\n\n\nPerform deterministic and probabilistic linkage\nEvaluate the success of data linkage\n\n\nAppropriately report analysis based on linked data\n\n  \nThe course is aimed at analysts and researchers who need to gain an understanding of data linkage techniques and of how to analyse linked data. The course provides an introduction to data linkage theory and methods for those who might be implementing data linkage or using linked data in their own work. Participants may be academic researchers in the social and health sciences or may work in government\, survey agencies\, official statistics\, for charities or the private sector. \nThe course does not assume any prior knowledge of data linkage. Some experience of using Excel or other software will be useful for the practical session. \nRecommended preparatory reading \n\nSayers A\, Ben-Shlomo Y\, Blom AW\, Steele F. Probabilistic record linkage. Int J Epidemiol. 2016;45(3):954–964. doi:10.1093/ije/dyv322\nDoidge JC\, Harron K. Demystifying probabilistic linkage: Common myths and misconceptions. Int J Popul Data Sci. 2018;3(1):410. doi:10.23889/ijpds.v3i1.410\nHarron KL\, Doidge JC\, Knight HE\, et al. A guide to evaluating linkage quality for the analysis of linked data. Int J Epidemiol. 2017;46(5):1699–1710. doi:10.1093/ije/dyx177\nDoidge JC\, Harron KL. Linkage error bias. Int J Epidemiol 2019; in press\n\n  \nParticipants will be required to bring a laptop\, preloaded with Excel (or equivalent) and LinkPlus\, or be prepared to share (which is encouraged\, regardless). Please note that LinkPlus is not compatible with Macs. Participants will receive printed or pdf course slides. \n  \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials and refreshments. They do not include lunch\, travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introduction-to-data-linkage-and-analysing-linked-data/
LOCATION:University College London\, Institute of Health Informatics\, 222 Euston Road\, Regents Park\, London\, London\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200507T080000
DTEND;TZID=UTC:20200507T170000
DTSTAMP:20260618T090521
CREATED:20191029T100802Z
LAST-MODIFIED:20240510T090500Z
UID:10000077-1588838400-1588870800@www.swdtp.ac.uk
SUMMARY:NCRM: Introduction to Spatial Data and Using R as a GIS
DESCRIPTION:In this one day course we will explore how to use R to import\, manage and process spatial data. We will also cover the process of making choropleth maps\, as well as some basic spatial analysis. Finally\, we will cover the use of loops to make multiple maps quickly and easily\, one of the major benefits of using a scripting language to make maps\, rather than traditional graphic point-and-click interface.\nThe course covers: \n\nUsing R to import\, manage and process spatial data\nDesign and creation of choropleth maps\nBasic spatial analysis\nWorking with loops in R to create multiple maps\n\nBy the end of the course participants will: \n\nUse R to read in CSV data & spatial data\nKnow how to plot spatial data using R\nJoin spatial data to attribute data\nCustomize colour and classification methods\nUnderstand how to use loops to make multiple maps\nKnow how to reproject spatial data\nBe able to perform point in polygon operations\nKnow how to write shapefiles\n\nThis course is ideal for anyone who wishes to use spatial data in their role. This includes government & other public sector researchers who have data with some spatial information (e.g. address\, postcode\, etc.) which they wish to show on a map. This course is also suitable for those who wish to have an overview of what spatial data can be used for. No previous experience of spatial data or coding is required\, although participants would benefit from some experience of using spatial data (e.g. Google Maps). \n  \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introduction-to-spatial-data-and-using-r-as-a-gis/
LOCATION:Glamorgan Building\, King Edward VII Avenue Cardiff University\,\, Cardiff\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200501T080000
DTEND;TZID=UTC:20200501T170000
DTSTAMP:20260618T090521
CREATED:20191029T100704Z
LAST-MODIFIED:20240510T090500Z
UID:10000076-1588320000-1588352400@www.swdtp.ac.uk
SUMMARY:NCRM: How to write your Methodology Chapter
DESCRIPTION:This workshop aims to give participants a range of practical approaches they can adopt when writing about methodology in the social sciences\, with a particular focus on writing a PhD methodology chapter. Using a range of exercises throughout\, the course focuses on 20 or so writing strategies and thought experiments designed to provide more clarity and power to the often-difficult challenge of writing about methods. The course also looks at common mistakes and how to avoid them when writing about methods. The focus throughout is on building confidence and increasing our repertoire of writing strategies and skills.\nThe course covers: \n\nA range of practical writing strategies for handling methodology\nThe challenges of writing a PhD methodology chapter or a methods section in a research paper\nWriting for qualitative and quantitative research approaches\nUnderstanding different audiences and the needs of different academic markets\n\nBy the end of the course participants will: \n\nBetter understand who and what ‘methodology writing’ is for\nKnow the differences and similarities between PhD methods chapters\, research paper methods sections and methods books\nUnderstand and reflect on 20+ principles (or starting points) of best practice in methodology writing\nFocus writing on audience needs and expectations\nBe aware of common mistakes and misunderstandings and so avoid them\nReflect on the relationship between methodology writing and other parts of your manuscript\nTo develop learning and best practice through exercises and examples\n\nThis course is aimed at PhD students\, post-docs and junior researchers in the social sciences working on their doctoral theses or supervising doctoral students. \nParticipants should bring either a laptop/tablet or a writing pad in order to do writing exercises (please ensure they are fully charged). \n  \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-how-to-write-your-methodology-chapter/
LOCATION:Building 58\, University of Southampton\, Highfield Campus\, Southampton\, Hants\, Southampton\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200401T080000
DTEND;TZID=UTC:20200402T170000
DTSTAMP:20260618T090521
CREATED:20200204T112043Z
LAST-MODIFIED:20240510T090500Z
UID:10000306-1585728000-1585846800@www.swdtp.ac.uk
SUMMARY:NCRM: Understanding Small Areas: Spatial Analysis of Population and Neighbourhood Data
DESCRIPTION:This workshop equips participants with conceptual understanding and technical skills to obtain\, analyse and visualise spatial data related to populations and neighbourhoods. Using freely available data related to the UK\, practical sessions are interspersed with lecture and discussions to contextualise and  consolidate learning as well as introductions to powerful statistical and spatial analysis software (SPSS and ArcGIS) and the programming language R.\n  \nFor more information and to book: \nhttps://www.ncrm.ac.uk/training/show.php?article=10587 \n 
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-understanding-small-areas-spatial-analysis-of-population-and-neighbourhood-data/
LOCATION:Queens University Belfast\, Belfast\, United Kingdom
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200319T080000
DTEND;TZID=UTC:20200320T170000
DTSTAMP:20260618T090521
CREATED:20191028T155922Z
LAST-MODIFIED:20240510T090500Z
UID:10000075-1584604800-1584723600@www.swdtp.ac.uk
SUMMARY:NCRM: Using smartphone sensors\, apps and wearables in Social Science Research
DESCRIPTION:Smartphone sensors (e.g.\, GPS\, camera\, accelerometer)\, apps\, and wearables (e.g.\, smartwatches\, fitness bracelets) allow researchers to collect rich behavioral data\, potentially with less measurement error and lower respondent burden than self-reports through surveys. Passive mobile data collection (e.g.\, location tracking\, call logs\, browsing history) and respondents performing additional tasks on smartphones (e.g.\, taking pictures\, scanning receipts) can augment or replace self-reports in surveys. However\, there are multiple challenges to collecting these data: participant selectivity\, (non)willingness to provide sensor data or perform additional tasks\, privacy concerns and ethical issues\, quality and usefulness of the data\, and practical issues of implementation. This course will address the challenges by reviewing state-of-the-art practices of smartphone sensor\, app\, and wearables data collection\, ranging from small-scale studies of hard-to-reach populations to large-scale studies to produce official statistics\, and discuss design best-practices for this type of measurement. Recommendations provided will include:\n•   What research questions can be answered using smartphone sensors\, apps\, and wearables? \n•   What are participants’ concerns and how to address them? \n•   How to ask for consent for sensor measurements and ensure participation? \n•   How to ease into sensor data analysis? \nAs part of this course\, participants will have the chance to work on practical issues of implementing smartphone sensors\, apps\, and wearables into social science research. Participants will discuss their own research study designs using new technology and have the opportunity to get hands-on practice with data from health\, accelerometery\, and location sensors. The course will not discuss how to collect and analyse “found” data (e.g.\, social media data) nor demonstrate how to program smartphone sensor apps. \nThe course covers: \n\nContemporary uses of sensor-based data collection in the social sciences\nDesign of surveys with sensor-based data collection components\nOverview of practical issues when implementing smartphone sensors\, apps\, and wearables studies and recommendations\nIntroduction to accessing and working with sensor data\n\nBy the end of the course participants will: \n\nknow what smartphone sensors\, apps\, and wearables are available and what they can measure to facilitate and enhance surveys\nbe able to identify potential applications of sensor and app measurement for their own data collection\nbe able to anticipate practical issues when implementing sensor-based data collection\n\nParticipants will perform basic analysis of sensor-collected data using software that they are most comfortable with (SPSS\, R\, Stata\, MS Excel etc.). R syntax will be provided\, which can be modified to SPSS or Stata syntax if R is not used. No prior knowledge of smartphone sensors\, wearables\, and apps is required\, but a basic understanding of survey practice and survey errors is helpful. Basic data analysis skills are beneficial. \nThe course is intended for survey practitioners\, researchers\, and students who want a practical introduction to smartphone sensors\, wearables and app-based research. \nParticipants should bring their smartphones and laptops and any wearables (e.g.\, fitness bracelets\, smartwatches) if available. \n  \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials and refreshments. They do not include lunch\, travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-using-smartphone-sensors-apps-and-wearables-in-social-science-research/
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200310T090000
DTEND;TZID=UTC:20200310T170000
DTSTAMP:20260618T090521
CREATED:20190930T093737Z
LAST-MODIFIED:20240510T090231Z
UID:10000060-1583830800-1583859600@www.swdtp.ac.uk
SUMMARY:NCRM: Using Creative Research Methods
DESCRIPTION:This course will outline creative research methods and show you how to use them appropriately at every stage of the research process. The course assumes that you have a good working knowledge of conventional research methods\, and builds on that knowledge by introducing arts-based methods\, research using technology\, mixed methods\, and transformative research frameworks such as participatory and activist research. Any or all of these techniques can be used alongside more conventional research methods and are often particularly useful when addressing more complex research questions. In the afternoon you will have the opportunity to try applying these methods in practice. Attention will be paid to ethical issues throughout. The day will include plenty of practical advice and tips on using creative methods in research.\nThe course covers: \n\nArts-based methods\nResearch using technology\nMixed methods\nTransformative research frameworks\n\nBy the end of the course participants will: \n\n Have a good level of knowledge of creative research methods\n Understand how to use creative methods alongside more traditional methods\n Understand when to use creative methods in research\nKnow how creative methods can add value to funding bids\n\nThis course will be relevant for researchers from the third sector\, public services (e.g. health\, criminal justice\, social care\, education\, local or national government)\, and those who work in independent research organisations or academia. It is an intermediate level course and attendees will need a good working knowledge of traditional research methods. \nPreparatory Reading \nAlthough not required participants may wish to purchase the book on which the course is based: Creative Research Methods in the Social Sciences: A Practical Guide\, by the trainer\, published by Policy Press. NB: if participants sign up for the monthly e-newsletter produced by Policy Press\, they will receive a substantial discount on the book. \n  \nCost \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs. \nA full refund is available two weeks prior to the course. NO refund is available after this date. \n  \nPlease head to the NCRM website for more details
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-using-creative-research-methods/
LOCATION:Building 58\, University of Southampton\, Southampton\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200218T090000
DTEND;TZID=UTC:20200219T170000
DTSTAMP:20260618T090521
CREATED:20190930T093602Z
LAST-MODIFIED:20240510T090231Z
UID:10000059-1582016400-1582131600@www.swdtp.ac.uk
SUMMARY:NCRM: Introduction to QGIS: Spatial Data and Spatial Analysis
DESCRIPTION:In this two day course you will learn what GIS is\, how it works and how you can use it to create maps and perform spatial analysis. We assume no prior knowledge of GIS and you will learn how to get data into the GIS\, how to produce maps using your own data and what you can and cannot do with spatial data. You will also learn how to work with a variety of different data sources and types (including XY coordinate data and address or postcode data) and using spatial overlays\, point in polygon analysis and spatial joins.\nThe course covers: \n\nWhat is GIS and spatial data?\nHow to classify data for a choropleth map\nHow to create a publication ready map\nHow to work with different data sources including XY coordinate and postcode data\nUsing attribute and spatial joins\nUsing spatial overlays and spatial analysis\nHow to apply these skills to your own data\n\nBy the end of the course participants will: \n\nBe able to set up QGIS and add data\nKnow how to classify data for a choropleth map\nBe able to join tabular data to spatial data\nDesigning and producing a publication ready map in QGIS\nUnderstand how to import a range of data types into QGIS\nBe able to locate and open a range of GIS data sets\nKnow how to apply GIS analysis tools including spatial overlays and point in polygon.\nBe confident at applying the skills to their own data\n\nThis course is ideal for anyone who wishes to use spatial data in their role. This includes students\, academic\, government & other public sector researchers who have data with some spatial information (e.g. address\, postcode\, etc.) which they wish to show on a map. This course is also suitable for those who wish to have an overview of what GIS and spatial data can be used for\, and how you can better represent your data with maps. No previous experience of spatial data is required. \n  \nCost \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs. \nA full refund is available two weeks prior to the course\, NO refunds are available after this date. \n  \nPlease head to the NCRM website for more details.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introduction-to-qgis-spatial-data-and-spatial-analysis/
LOCATION:Building 39\, University of Southampton\, Southampton\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200203T090000
DTEND;TZID=UTC:20200204T170000
DTSTAMP:20260618T090521
CREATED:20190930T093403Z
LAST-MODIFIED:20240510T090231Z
UID:10000058-1580720400-1580835600@www.swdtp.ac.uk
SUMMARY:NCRM: Introduction to Latent Class Analysis
DESCRIPTION:Latent Class Analysis (LCA) is a branch of the more General Latent Variable Modelling approach. It is typically used to classify subjects (such as individuals or countries) in groups that represent underlying patterns from the data. In addition to this application LCA provides a flexible framework that can be used in a wide range of contexts: in longitudinal studies (e.g.\, mixture latent growth models\, hidden Markov chains)\, in evaluation of data quality (e.g.\, extreme response style\, cross-cultural equivalence)\, non-parametric multilevel models\, joint modelling for dealing with missing data.\nIn this course you will receive an introduction to the essential topics of LCA such as: what is LCA\, how to run models\, how to choose between alternative models\, how to classify observations\, how to evaluate and predict classifications. You will also apply this knowledge to a number of more advanced models that look at the relationship between latent class variables and at longitudinal data. \nThe course covers: \n\nRefresher of basic concepts in categorical analysis: (marginal) probability\, odds ratios\, logistic regression;\nBasic concepts and assumptions of latent class analysis;\nIntroduction to Latent GOLD software;\nModel fit evaluation: global\, local and substantive evaluation;\nClassification of cases;\nApply these concepts to a number of models looking at: predicting class membership\, relationships between latent classes\, hidden Markov chains\n\nBy the end of the course participants will: \n\nKnow what is Latent Class Analysis;\nBe able to estimate and interpret results from Latent Class Analysis;\nBe able to choose between alternative Latent Class Models;\nUnderstand latent class classification and how to predict it;\nBe able to investigate the relationship between latent class variables.\n\nThe course is aimed at people from all disciplines and types of institutions that want to learn about latent class analysis or\, more generally\, about latent variable modelling. \nPre-requisites \nKnowledge of basic categorical analysis: (marginal) probabilities\, odds ratios\, logistic regression and of linear regression. \nPreparatory Reading \nFor an introduction to Latent Class Analysis: \nCollins\, L. M.\, & Lanza\, S. T. (2010). Latent Class and Latent Transition Analysis: with Applications in the Social\, Behavioral\, and Health Sciences (1 edition). Hoboken\, N.J: Wiley-Blackwell. \nFurther reading \nApplications of Latent Class Analysis: \nHagenaars\, J.\, & McCutcheon\, A. (Eds.). (2009). Applied Latent Class Analysis (1 edition). Cambridge; New York: Cambridge University Press. \nReading on categorical data analysis: \nAgresti\, A. (2007). An Introduction to Categorical Data Analysis (2nd Revised edition edition). Hoboken\, NJ: John Wiley & Sons. \n  \nCost\nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs.\nA full refund is available 2 weeks prior to the course\, no refund is available after this date. \n  \nHead to the NCRM website for more details.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introduction-to-latent-class-analysis/
LOCATION:University of Southampton\, Building 39\, Highfield\, Southampton\, Hants\, Southampton\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200107T080000
DTEND;TZID=UTC:20200109T170000
DTSTAMP:20260618T090521
CREATED:20191028T155736Z
LAST-MODIFIED:20240510T090232Z
UID:10000074-1578384000-1578589200@www.swdtp.ac.uk
SUMMARY:NCRM: Quant for Qual Researchers
DESCRIPTION:This course is aimed at researchers and teachers who have previously mostly worked in the qualitative tradition of research\, but wish to understand or begin to research in the quantitative tradition.  It assumes no more than a lay knowledge of quantitative methods (such as surveys or polling) and will take participants on a journey from the methodological and epistemological foundations of quantitative methods\, through design\, sampling and principles of analysis.  No prior statistical knowledge is required and the course will mostly follow a problem based learning approach.\nThe course covers: \n\nThe epistemological and methodological basis of quantitative methods and its challenges.\nBasic research design and quantitative – qualitative integration\nIntroduction to sampling\nIntroduction to questionnaire design and basic scaling\nSecondary analysis of existing data\nIntroduction to basic analysis techniques and significance\n\nBy the end of the course participants will: \n\n Understand the reasoning underlying quantitative methods and their role in a pluralist approach to research\nLearn about basic design issues and how these inform methodological choices\nBe introduced to basic sampling decisions and techniques\nLearn how to go about designing a questionnaire and measure through simple scales\nBe aware of the possibilities of using existing data to answer research questions\nLearn about univariate and bivariate analysis\nUnderstand the concepts of central tendency and dispersion\nLearn how to use some simple descriptive statistics\n\nThis course is suitable for researchers or teachers of qualitative methods.  The course caters for academics\, or researchers in the government or third sector.  It is open to all levels from early career researchers to experienced qualitative researchers. \nPreparatory Reading \nWilliams\, M (2003)  Making Sense of Social Research. London: Sage. \nDe Vaus\, D (2013) Surveys in Social Research. 6th edition. London: Allen & Unwin. \n  \n  \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-quant-for-qual-researchers/
LOCATION:Glamorgan Building\, King Edwards VII Avenue\, Cardiff University\, Cardiff\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191212T150000
DTEND;TZID=UTC:20191212T160000
DTSTAMP:20260618T090521
CREATED:20190930T101037Z
LAST-MODIFIED:20240510T121250Z
UID:10000064-1576162800-1576166400@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Guided walk through ReShare
DESCRIPTION:12 December 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nAre you an ESRC grant holder whose grant has ended and is required to submit your research data into the ReShare repository? Are you a researcher interested in depositing data into ReShare to make them available for reuse\, or as evidence for a published paper? Are you just curious to explore how publishing in ReShare happens in practice? \nJoin our interactive online webinar\, where we will ‘walk’ you through the process of submitting a data collection into the ReShare repository. We will then answer any questions you may have about ReShare and depositing your data with us. \nYou will learn: \n\nHow to start the process of depositing data into ReShare\nHow to describe a data collection well (i.e. what metadata should be provided)\nWhy providing detailed and accurate metadata is important\nHow to prepare and upload your data files and documentation files\nHow to decide upon the most suitable access level and licence for your data\nHow we review your data before publishing it\n\nAfter registering\, you will receive a confirmation email containing information about joining the webinar. \nPresenter: Anca Vlad \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in in depositing data into ReShare \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-guided-walk-through-reshare/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191205T150000
DTEND;TZID=UTC:20191205T160000
DTSTAMP:20260618T090521
CREATED:20190930T100942Z
LAST-MODIFIED:20240510T121250Z
UID:10000063-1575558000-1575561600@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Data management basics
DESCRIPTION:5 December 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nThis introductory webinar is intended for anyone who wants to learn about research data management. Data management is essential to make sure that well organised\, well documented\, high quality and shareable research data result from your research project. This webinar provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a view to optimising data sharing. \nWe will discuss the key essential processes: of writing a data management plan for research grants; the ethical and legal issues in data sharing and handling confidential information; documenting your data effectively; formatting and organising your data; and\, storing your data\, including data transfer\, encryption\, and file sharing. \nThe webinar will consist of a 40 minute presentation followed by 20 minutes for questions. \nPresenter: Veerle Van Den Eynden \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Anyone interested in research data management \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-data-management-basics/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191128T150000
DTEND;TZID=UTC:20191128T160000
DTSTAMP:20260618T090521
CREATED:20190930T100845Z
LAST-MODIFIED:20240510T121250Z
UID:10000062-1574953200-1574956800@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key issues in reusing data
DESCRIPTION:28 November 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nParticipants will hear about the key issues in secondary analysis as a method. The introductory session will briefly cover the pros and cons of reusing data and the importance of learning about the origins of your data. Quantitative and qualitative secondary analysis will be discussed with examples and issues of context\, sampling and ethics will be raised. \nThis session is more conceptual than many of our other webinars\, which are more suited to those who want a more practical introduction to our data. \nThe webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nIn order to follow the content of the webinar attendees should already be familiar with the basic methods of qualitative or quantitative data research. \nPresenter: Maureen Haaker and Ana Morales \nLevel: Introductory\nExperience/knowledge required: Basic methods of qualitative or quantitative data research\nTarget audience: Researchers/anyone interested in reusing data \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-issues-in-reusing-data/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191128T090000
DTEND;TZID=UTC:20191128T170000
DTSTAMP:20260618T090521
CREATED:20190930T092146Z
LAST-MODIFIED:20240509T122636Z
UID:10000051-1574931600-1574960400@www.swdtp.ac.uk
SUMMARY:NCRM: Drawing\, multimodality and interaction analytics
DESCRIPTION:Analysing embodied interaction enables researchers to study the qualitative details of communication and to do reliable coding of interaction for quantification. Some researchers use video stills and word processing software to add arrows and highlights. Others use simple sketches or tracings to present their research findings in their final published results. However\, until now\, no dedicated courses have been offered that teach drawing as a method for the transcription and analysis of social interaction.\nThis one-day course will introduce researchers to the theory and method of conversation analysis\, and to new graphical tools\, transcription methods\, and software systems that are available for multimodal analysis of audio-visual data. It will involve short presentations\, group discussions and practical work including video data gathering\, transcription and analysis. No special equipment is required\, although we encourage participants to bring some means of recording video (e.g. a phone or other digital camera). \nThis course is aimed at researchers across disciplines with an interest in face-to-face social interaction and communication (human or animal\, face-to-face or video-mediated). No prior experience of drawing or conversation and discourse analysis is necessary\, since we will cover the basics required to learn independently. \n  \nLearning outcomes \nThis course will introduce you to methods\, techniques and tools for analysing embodied social interaction. \n  \nThe course covers: \n\nConversation analytic methods for collecting\, transcribing and analysing video data.\n\n\nDrawing techniques for use in field notes and in exploratory data analysis sessions.\nHow to create and use multimodal transcripts for data analysis and presentation of results.\nSoftware tools for creating and sharing computer-readable graphical transcriptions.\nFuture directions for multimodal interaction analytics e.g. automation and open science.\n\nCost \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \n  \nPlease head to the NCRM website for more details
URL:https://www.swdtp.ac.uk/event-calendar/drawing-multimodality-and-interaction-analytics/
LOCATION:Bonhill House\, 1-3 Bonhill Street\, London\, London\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191121T150000
DTEND;TZID=UTC:20191121T160000
DTSTAMP:20260618T090521
CREATED:20190930T100724Z
LAST-MODIFIED:20240510T121250Z
UID:10000061-1574348400-1574352000@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Finding and accessing data in the UK Data Service
DESCRIPTION:21 November 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nThis introductory webinar is intended for anyone who wants to hear about finding data from the UK Data Service. Participants will be given a practical overview of the tools that the service provides\, particularly our data catalogue to help you to make the most of your data searches. We will discuss best approaches to searching data and how to use the search tool to narrow down search results. We will also explore other service resources provided to help you get the data you want and related information. \nThe webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nPresenter: Valerija Kolbas \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in finding data from the UK Data Service \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-finding-and-accessing-data-in-the-uk-data-service/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191114T150000
DTEND;TZID=UTC:20191114T160000
DTSTAMP:20260618T090521
CREATED:20190930T100627Z
LAST-MODIFIED:20240510T121250Z
UID:10000264-1573743600-1573747200@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Introduction to the UK Data Service
DESCRIPTION:14 November 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nThe UK Data Service holds the UK’s largest collection of research data. This introductory webinar is for anyone with an interest in social research who wants to hear about the vast array of resources we offer. Participants will learn about the different types of quantitative and qualitative data we hold\, how to find those data collections using our online resource discovery tools\, and how to register to access datasets in a number of different formats. We will also demonstrate how some of our data collections can be viewed and analysed online\, as well as providing an overview of our support and training resources for students\, researchers and teachers. \nThe webinar will consist of a 35 minute presentation followed by 20 minutes for questions. \nPresenter: Deborah Wiltshire \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in finding out about the UK Data Service \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-introduction-to-the-uk-data-service/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191112T150000
DTEND;TZID=UTC:20191112T160000
DTSTAMP:20260618T090521
CREATED:20190930T100526Z
LAST-MODIFIED:20240510T121137Z
UID:10000263-1573570800-1573574400@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key data: Data about countries
DESCRIPTION:12 November 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nThis introductory webinar is intended for anyone who wants to learn about the international time series data available from the UK Data Service. \nYour host Richard Wiseman will give an overview of the diverse topics that are contained within these datasets\, which include the open data produced by the World Bank\, International Monetary Fund and the Organisation for Economic Co-operation and Development. As well as the data restricted to academia from the International Energy Agency and the UN. \nCollectively these data cover all countries\, some stretching as far back as 1948. Most of these data are annual data\, but there are also some monthly and quarterly data. This valuable resource allows researchers to compare countries\, or track a country’s progress over time. \nThe webinar will provide: \n\nAn overview of the international data\nKey issues in using the data\nA demo of our interface\nThe chance to ask questions\n\nThe session will consist of a 30 minute presentation followed by 20 minutes for questions. \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-data-data-about-countries/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191108T090000
DTEND;TZID=UTC:20191108T170000
DTSTAMP:20260618T090521
CREATED:20190930T092015Z
LAST-MODIFIED:20240509T122636Z
UID:10000254-1573203600-1573232400@www.swdtp.ac.uk
SUMMARY:Electronic Health Records (EHR) and EHR-based Phenotyping
DESCRIPTION:Primary and Secondary care records are increasingly being linked for use in research. These data\, however\, are collected as part of routine care or for administrative purposes and a significant amount of work is required to build robust and accurate definitions of clinical concepts that can used to identify cases for further study. In this course we present the basic theory behind the extraction of phenotype data from combined electronic health records.\nThe course covers: \n\nIntroduction to Electronic Health Records (EHRs)\nPhenotyping EHRs – Theory\nControlled clinical terminologies\nResearch exemplars\n\nBy the end of the course participants will: \n\nBecome familiar with two major primary and secondary care data sources (CPRD and HES)\nLearn what types of EHR data are collected and the different ways data are recorded\nUnderstand how to combine linked EHR data sources to define disease cases\n\nThis course is suitable for epidemiologists\, medical statisticians and other researchers working with electronic health records data. \n  \nCost\nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs. \nA full refund is available two weeks prior to the course\, NO refunds are available after this date. \n  \nPlease head to the NCRM Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/electronic-health-records-ehr-and-ehr-based-phenotyping/
LOCATION:Cardiff University\, Colum Drive\, Cardiff\, Cardiff\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191105T150000
DTEND;TZID=UTC:20191105T160000
DTSTAMP:20260618T090521
CREATED:20190930T100414Z
LAST-MODIFIED:20240510T121137Z
UID:10000262-1572966000-1572969600@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key data: Business data
DESCRIPTION:5 November 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nThis webinar is an introduction to Office for National Statistics (ONS) business data available from the UK Data Service\, such as the Annual Survey of Hours and Earnings. The webinar includes an overview of the business survey areas covered (e.g. earnings and skills) and the data available. Examples of research that have used business microdata will be presented. As the business data are potentially identifiable\, they must be accessed through the Secure Lab. The webinar will show you how to apply to access these data. \nIn addition to this\, the webinar will also highlight access to international business data via the UK Data Service\, e.g. access to data from the Institute for Employment Research (IAB)\, Germany\, and the French Secure Access Data Centre (CASD). \nThe webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nPresenters: James Scott and Chris Woods \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in business data \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-data-business-data/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191105T080000
DTEND;TZID=UTC:20191106T170000
DTSTAMP:20260618T090521
CREATED:20191028T155505Z
LAST-MODIFIED:20240510T090231Z
UID:10000073-1572940800-1573059600@www.swdtp.ac.uk
SUMMARY:NCRM: SQL for Biomedical Researchers
DESCRIPTION:Database systems are increasingly being used for working with medical data and enable the rapid querying of complex data in health and social care. This short course will introduce the theory behind the relational data model and enable participants to gain an understanding on how data can be modelled and stored in a relational database system and what different data types are used. Through a series of practical-driven sessions using real-life data\, students will learn how to load existing data in a contemporary relational database management system and how to craft simple and complex queries for analysing the data. By the end of the course\, students will be able to load\, format and export data in a format suitable for analysis by common statistical packages.\nThe course covers: \n\nIntroduction to relational database management systems (RDBMS)\nRelational database modelling\, conceptual database design\nThe case of electronic health records\nSetting up a relational database\nDatabase administration\nDatabase querying:\n\nBasic SQL\nIntermediate SQL\n\n\n\nBy the end of the course participants will: \n\nUnderstand the relational data model\, data types and basic data modelling techniques\nLearn how to pre-format\, load and setup their data in a database system\nLearn how to create simple and complex queries using SQL\n\nThis course is suitable for Epidemiologists\, medical statisticians and other researchers working with electronic health records data. \n  \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/sql-for-biomedical-researchers/
LOCATION:UCL Institute of Health Informatics\, Health Data Research UK\, 222 Euston Road\, London\, London\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191031T150000
DTEND;TZID=UTC:20191031T160000
DTSTAMP:20260618T090521
CREATED:20190930T100311Z
LAST-MODIFIED:20240510T121136Z
UID:10000261-1572534000-1572537600@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key data: Qualitative and mixed methods data
DESCRIPTION:31 October 2019\nOnline\, 15.00 – 16.00 GMT \n\n\n\nThis introductory webinar is intended for anyone who wants to learn about the qualitative or mixed-methods data available from the UK Data Service. The UK Data Service provides access to a range of qualitative and mixed-methods data including Peter Townsend’s Last Refuge and Neighbourhood Boundaries\, Social Disorganisation and Social Exclusion. These collections cover many topics and most of them can be downloaded after a short registration. They can be used for research or for teaching. \nThe webinar will cover: \n\nAn overview of key features of qualitative data and where our data come from\nSome examples of UK and international qualitative data and how they have been used\nSome key issues when using qualitative data\nAccess conditions and getting further help\n\nThis webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nPresenter: Maureen Haaker \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Anyone interested in qualitative or mixed methods data \nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-data-qualitative-and-mixed-methods-data/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191029T090000
DTEND;TZID=UTC:20191101T170000
DTSTAMP:20260618T090521
CREATED:20190930T091847Z
LAST-MODIFIED:20240509T122636Z
UID:10000253-1572339600-1572627600@www.swdtp.ac.uk
SUMMARY:Programming with Python for Social Science Bootcamp
DESCRIPTION:This four-day bootcamp is aimed at academics and postgraduate researchers across the social sciences wishing to build skills with computer programming as a research method. The event will provide participants with not only programming skills (i.e. the “how” of programming) but also explore Python as a tool that can be creatively applied to problems in the social world (i.e. the “why” of programming as a social researcher).\nThe bootcamp is free to attend\, places will be awarded via this application process. The deadline for applications is  12pm on Friday 30th August\, with decisions being sent by the 16 September. We will be providing a light lunch each day\, one evening meal for all partcipants and free B&B accomodation for the Tuedsay to Thursday evenings for those outside of the Manchester area. \nPrior to the event\, participants will be briefed on how to install relevant software packages and be given a selection of readings to introduce them to the various intersections between software/algorithmic design and social science research work. \nThe event itself will open with a crash course in Python programming designed to take absolute beginners up to an intermediate level. This will include guided “hands-on” instruction with Python as well as talks on methodological issues\, and introductions to exemplary use cases of Python in social research; all of this will be delivered with an emphasis on the various relevances of these skills for participants’ work. \nThere will be a range of activities for participants to engage in to build and practice their skills with Python in collaboration with other social science practitioners. For instance\, there will be a workshop component on designing (research-relevant) software tools and algorithms\, where participants will work in groups to sketch out (on pen and paper) designs/plans for various applications selected from randomised combinations of flashcards. Participants will feed back their results to the wider group as a collaborative discussion on software design issues as a methodological concern. \nBuilding on this\, participants will also engage in a more hands-on “hackathon” event\, working in small groups to plan out and start building tools\, algorithms or applications that would be of relevance to their research goals\, and participants will feed back their initial results to the wider group for the purposes of constructive critique (which affords an opportunity for participants to think about how to conceptualise and talk about programming in a social science context). \nOverall\, this bootcamp aims to provide participants with a core set of Python programming skills\, and kickstart collaborations and projects that will both foster an emerging network of social science programmers and provide opportunities for them to continue developing their skills beyond the event itself. \nCost: Free \nHead to the NCRM website for more details
URL:https://www.swdtp.ac.uk/event-calendar/programming-with-python-for-social-science-bootcamp/
LOCATION:The University of Manchester\, Oxford Road\, Manchester\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191024T150000
DTEND;TZID=UTC:20191024T160000
DTSTAMP:20260618T090521
CREATED:20190930T100133Z
LAST-MODIFIED:20240510T121136Z
UID:10000260-1571929200-1571932800@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key data: Census
DESCRIPTION:24 October 2019\nOnline\, 15.00 – 16.00 BST \n\n\n\nCensus data from 1971-2011 provides a unique source of robust population data\, particularly for small areas and often-overlooked groups\, such as those living in establishments. \nThis webinar is intended as an introduction to the Census data available from the UK Data Service\, for anyone who is interested in using them in research or teaching. The UK Data Service provides access to Census data in a range of formats including counts about characteristics of people and households in areas (aggregate data)\, data about commuter and migration movements between areas (flow data)\, anonymised samples of records for flexible use (microdata) as well the boundary data necessary to map them. Most of these data can be accessed without registration or after a short registration. The webinar will briefly describe each of the sources of census data. Tools for accessing key data will be also be briefly demonstrated. \nThe webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nPresenter: Richard Wiseman \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in census data \nHead to the UK Data Service website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-data-census/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191017T150000
DTEND;TZID=UTC:20191017T160000
DTSTAMP:20260618T090521
CREATED:20190930T100020Z
LAST-MODIFIED:20240510T121136Z
UID:10000259-1571324400-1571328000@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key data: Longitudinal data
DESCRIPTION:17 October 2019\nOnline\, 15.00 – 16.00 BST \n\n\n\nThis introductory webinar is intended for anyone who wants to learn about the wide range of longitudinal datasets available via the UK Data Service. The Service provides access to various types of longitudinal data. One of these are the British Birth Cohort Studies (e.g. the National Child Development Study 1958 and The Millennium Cohort Study) which follow the same group of children born in a specific year throughout their lives\, tracking changes and unravelling the reasons behind them. Another type is the successor of BHPS\, Understanding Society\, an innovative and world-leading study about lives and its changes in the UK in the 21st century. And finally\, there are other studies such as the English Longitudinal Study of Ageing focusing on later life\, following certain age cohorts and shedding light on their specific experiences over time. \nMost of these studies can be downloaded after a short registration. They are extremely rich data sources for high impact and policy relevant research. Further\, subsamples of some of these datasets are available for teaching purposes. \nThe webinar will cover: \n\nThe key features of longitudinal surveys\nAn outline of the key longitudinal/cohort studies we hold and the policy relevance of the information they contain\nAccess information and how to get further help and support\n\nThe webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nPresenter: Beate Lichtwardt \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in longitudinal data \n\nHead to the UK Data Service Website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-data-longitudinal-data/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191010T150000
DTEND;TZID=UTC:20191010T160000
DTSTAMP:20260618T090521
CREATED:20190930T095855Z
LAST-MODIFIED:20240510T093837Z
UID:10000258-1570719600-1570723200@www.swdtp.ac.uk
SUMMARY:UK Data Service Webinar: Key data: UK and cross-national surveys
DESCRIPTION:10 October 2019\nOnline\, 15.00 – 16.00 BST \n\n\n\nThis introductory webinar is intended for anyone who wants to learn about the key survey datasets available from the UK Data Service which provide snapshots of the UK or that allow comparisons to be made across countries. The UK Data Service provides access to a wide range of survey series such as the British Social Attitudes Survey\, the Labour Force Survey and the Health Survey for England. We also provide access to a number of cross-national surveys such as such as the Eurobarometer surveys and the European Election Studies. These surveys cover many topics and most of them can be downloaded after a short registration. They can be used for research or for teaching. \nThis webinar will cover: \n\nAn overview of UK and cross-national microdata available from the UK Data Service\nKey features of some of our most commonly used surveys: Quarterly Labour Force Survey\, British Social Attitudes Survey\, Health Survey for England and the Eurobarometer surveys\nAccess conditions and getting further help\n\nThe webinar will consist of a 30 minute presentation followed by 20 minutes for questions. \nPresenter: Jennifer Buckley \nLevel: Introductory\nExperience/knowledge required: None\nTarget audience: Researchers/anyone interested in survey or cross-national data \n\nHead to the UK Data Service website for more details
URL:https://www.swdtp.ac.uk/event-calendar/uk-data-service-webinar-key-data-uk-and-cross-national-surveys/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191003T080000
DTEND;TZID=UTC:20191004T170000
DTSTAMP:20260618T090521
CREATED:20190619T124054Z
LAST-MODIFIED:20240509T121555Z
UID:10000244-1570089600-1570208400@www.swdtp.ac.uk
SUMMARY:Introduction to Hospital Episode Statistics
DESCRIPTION:This course will provide participants with an understanding of how Hospital Episode Statistics (HES) data are collected and coded\, their structure\, and how to clean and analyse HES data. A key focus will be on developing an understanding of the strengths and weaknesses of HES\, how inconsistencies arise\, and approaches to deal with these. Participants will also learn how to ensure individuals’ anonymity and confidentiality when carrying out analyses and publishing results based on HES. The course consists of a mixture of lectures and practicals for which participants will use Stata software to clean and analyse HES data.\nThe course covers:\n• HES data collection and coding\n• HES data structure\n• How to clean and manage HES data\n• How to ensure anonymity and confidentiality\n• How to carry out basic analyses using HES data\n• Sources of variation in HES data\n• How to apply for HES data \nBy the end of the course participants will: \n• understand how and why HES data are collected \n• become aware of the strength and weaknesses of using HES data for research\n• know how to carry out basic cleaning\, management and analysis tasks using HES data\n• know how to ensure anonymity and confidentiality when using HES \nThis course is aimed at researchers and analysts at any level working in universities\, local authorities\, civil service\, the NHS\, private sector or third sector organisations. \nPre-requisites \nPrevious experience of programming in Stata\, R or SAS will therefore be helpful\, but Stata code and instructions will be provided to all participants. There are no pre-requisites for the lectures. \n  \nCost \nThe fee per teaching day is: \n• £30 per day for UK/EU registered students\n• £60 per day for staff at UK/EU academic institutions\, UK/EU Research Councils researchers\, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.\n• £220 per day for all other participants \nAll fees include event materials\, lunch\, morning and afternoon tea. They do not include travel and accommodation costs.
URL:https://www.swdtp.ac.uk/event-calendar/introduction-to-hospital-episode-statistics/
CATEGORIES:Higher Level Training,Training
END:VEVENT
END:VCALENDAR