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.
|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.
QAMyData is an easy-to-use, open source tool that provides a health check for numeric data. The tool uses automated methods to detect and report on some of the most common problems in survey or numeric data, such as missingness, duplication, outliers and direct identifiers.
The tool offers a number of configurable tests that have been categorised into four types: file, metadata, data integrity, and identifiers, which can be run on popular file formats, including SPSS, Stata, SAS and CSV. A standard config file has default settings for each test, such as a threshold for pass or fail on various tests (e.g. detect value label that are truncated, email addresses identified as a string, or undefined missing values) which can be easily adapted to meet the user’s own desired thresholds. The configuration feature allows the creation of a unique Data Quality Profile. The software creates a ‘data health check’ that details errors and issues as both a summary and detailed report, providing a location of the failed test. New tests can easily be added. Data depositors and publishers can act on the results and resubmit the file until a clean bill of health is produced.
|OpenAIRE FAQ on Open Science, RDM||
FAQ by OpenAIRE answering various questions around Open Science and RDM.
|H2020 OpenAIRE Fact sheets||
In an effort to make open access for publications and data simple for everyone, OpenAIRE is creating factsheets with a brief overview of how to comply with H2020 OA mandates and how to use OpenAIRE services where available.
|Delivering RDM Services - Roadmaps||
One of the topic of the MOOC Delivering Research Data Management Services. This part helps the learner to develop a roadmap for delivering research data services at their own institution.
|Delivering RDM Services - Repositories||
One of the topic of the MOOC Delivering Research Data Management Services. This part teaches about repositories and how they can be certified as well as on Metadata, sharing and legal issues
|Delivering RDM Services - Introduction||
First topic of the MOOC Delivering Research Data Management Services.
This part introduces the importance of research data management and places it in the context of the global movement towards Open Research, and ultimately Open Science.
|Data Management Challenges Faced by the Arts and Humanities||
The Risk of Losing the Thick Description: Data Management Challenges Faced by the Arts and Humanities in the Evolving FAIR Data Ecosystem. IN: Jennifer Edmond (ed.), Digital Technology and the Practices of Humanities Research. Cambridge, UK: Open Book Pub
A book chapter about Realising the Promises of FAIR principles (findability, accessibility, interoperability, and reusability) within Discipline-Specific Scholarly Practices.
|Data Management Best Practices in the Humanities||
A Zotero library dedicated to the Research Data Management in the humanities.
|RDM services @ Library & Information Service||
Section of the Library and information service of Stellenbosch University offering Training and Consultancy on Research Data Management