The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.
|Teaching ideas: Guides for teaching data analysis||
This resource is a collection of short guides designed to make lesson planning more efficient for those teaching data analysis skills. Drawing on real classroom experiences, each guide includes suggested research questions, dataset and exercises:
|Building skills in quantitative methods and statistical software||
A collection of quantitative methods e-books and accompanying quizzes for direct use in teaching students or for self-study. They aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.
The e-books have been developed through a collaboration of the UK Data Service, National Centre for Research Methods (NCRM), and the Centre for Multi-Level Modelling at the University of Bristol and were created using the StatJR software based on original outputs from the project Using Statistical E-books to teach undergraduate students quantitative methods and statistical software funded by the British Academy.
|Teaching resource: Introducing quantitative analysis using SPSS||
The resource can serve both as an introduction to the Malaise Inventory - an established scale to measure signs of psychological distress - and as an introduction to quantitative analysis using SPSS. The data and resources are aimed for use with undergraduates and postgraduates and are designed to be used with SPSS (the data are also made available in Stata and tabdelimited formats).
This resource includes a guide on how to access data, an introduction to the established set of survey questions that measures psychological distress - the Malaise Inventory - and a number of data analysis exercises using SPSS.
|Teaching resource: teaching sociology with archived data||
Tutors can use this resource to create an assignment that enable students to learn to engage with a genuine, real-life piece of research. They are asked to complete specific tasks whilst working within word limits.
This teaching resource enables students to develop a number of skills:
|Teaching resource: Interview methods||
This teaching resource provides instructors and students with materials designed to assist in teaching qualitative interviewing.
Interviewing is a frequently used method in social research with its suitability being entirely dependent on the particular research question. Qualitative interviewing is generally distinguished from questionnaire-based interviewing, even if the form of communication, such as face-to face conversation, may be the same.
The resource provides brief summaries of several different interviewing techniques and each summary is accompanied by full transcripts or excerpts and the interview schedule (or guidance notes). It concludes with selected references and practical suggestions for how to use the materials for teaching.
|Teaching resource: Non-interview methods||
This teaching resource provides instructors and students with materials designed to assist in teaching qualitative methods of data collection.
This resource provides brief summaries of some of the different ways in which researchers can collect qualitative data, including focus groups, diaries, online data collection, and visual methods. Each summary is accompanied by an illustrative data sample from the extensive collections held by the UK Data Archive.
|Bringing synergy to better data management and research in Europe||
The course includes a series of recorded videos, quizes, and practical assignments that will allow you to go through the course at your own pace. It invites researchers, students, trainers and data professionals and any other individual that is looking to gain basic knowledge on Open Science, EOSC and best practices for FAIR data.
|ORION MOOC for Open Science in the Life Sciences!||
This course is an introduction to Open Science principles in biomedicine, life sciences and other related research fields. It is intended to help scientists to share their research with the world more effectively.
|UKDS: Teaching with Data|
|Orion Open Science project||
ORION - Open Responsible research and Innovation to further Outstanding kNowledge is a 4-year project (runs from May 2017 to September 2021) that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Science with and for Society (SWAFS) Work Programme. The main aim of the SWAFS Programme is to build effective cooperation between science and society. Open science is a core strategy of the European Commission that involves widening participation and collaboration as well as sharing research processes and outcomes to improve research and innovation.