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.
|UK Data Service: Secure Lab||
The UK Data Service SecureLab has enabled secure access to the most sensitive and confidential data in the collection since 2011. SecureLab provides controlled access to data that are too detailed, sensitive or confidential to be made available under less restrictive access levels.
|UK Data Service: Data Skills||
This source includes interactive modules designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data as well as tools that can be used to assess and improve data quality.
Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible. Tools include guides, documentation and exercises.
|MOOC Delivering Research Data Management Services||
Collaboratively developed MOOC by RDNL, DCC and the University of Edinburgh, published on FutureLearn
MOOC on delivering RDM services
|Free Qualitative Data Analysis with Taguette and Qcoder||
Webinar on free and open source qualitative analysis tools. Presentation of the free software Taguette and Qcoder.
|Formal Ontologies: A Complete Novice’s Guide||
This module is specifically aimed at those who are not yet familiar with ontologies as a means of research data management, and will take you through some of the main features of ontologies, and the reasons for using them.
|demos - Machine Learning for Artists||
|Introduction to Research Infrastructures||
This module allows to: understand the elements of common definitions of research infrastructures; be able to discuss the importance of issues such as sustainability and interoperability; understand how research infrastructure supports methods and communities; be aware of some common critiques of digital research infrastructures in the Humanities.