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.


Data protection

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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 resource provides generic templates for both the tutor's pack and feedback sheets that can be adapted for courses in different sociological thematic areas. These are in MS Word so that they can be adapted as needed.


    Key legal and ethical considerations in creating shareable data. This chapter clarifies the different legal requirements of the European Union Member States, and the impact of the General Data Protection Regulation (GDPR) on research data management. It shows how sharing personal data can often be accomplished by using a combination of obtaining informed consent, data anonymisation and regulating data access. The supporting role of ethical review in managing legal and ethical obligations is also highlighted in this chapter.

    Focus on:

    • legal and ethical obligations towards research participants and the different legal requirements of EU Member States
    • how protecting data properly protects against violating laws and promises made to participants
    • the General Data Protection Regulation and its relevance in research
    • informed consent, anonymisation and access controls to facilitate creating shareable data
    • relevant elements in a consent form
    • anonymisation techniques for quantitative and qualitative data
    • relevant DMP questions on these topics
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    Research Data Mantra

    Free online course for those who manage digital data as part of the research process. It has been created for the use of post-graduate students, early career researchers, and also information professionals.


    There are eight online units in this course and four data handling tutorials that will help you:

    1. Understand the nature of research data in a variety of disciplinary settings
    2. Create a data management plan and apply it from the start to the finish of your research project
    3. Name, organise, and version your data files effectively
    4. Gain familiarity with different kinds of data formats and know how and when to transform your data
    5. Document your data well for yourself and others, learn about metadata standards and cite data properly
    6. Know how to store and transport your data safely and securely (backup and encryption)
    7. Understand legal and ethical requirements for managing data about human subjects; manage intellectual property rights
    8. Understand the benefits of sharing, preserving and licensing data for re-use
    9. Improve your data handling skills in one of four software environments: R, SPSS, NVivo, or ArcGIS

    Each unit takes up to one hour, plus time for further reading and carrying out the data handling exercises. In the units you will find explanations, descriptions, examples, exercises, and video clips in which academics, PhD students and others talk about the challenges of managing research data.