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.
|ORION Open Science Train-the-Trainer MOOC||
The ORION Open Science Train-the-Trainer course is intended to guide you in how to facilitate and run training on Open Science. The course covers the theoretical underpinnings of adult education as well as practical methods and techniques to use in training events. From didactics to video creation, from audience profiles to Brainwalking. There are a range of materials, media, and activities intended to strengthen your abilities as a training facilitator, both face-to-face and online.
|ARDC Training Materials Metadata Checklist v1.1||
The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials.
Ranke.2 is a teaching platform for lecturers and students of History to teach how to apply source criticism to digitised and digital born historical sources.
|Research Data Management Adventure||
The objective of the RDM Adventure Game is to demonstrate and teach good practice in research data management and assist researchers in understanding good practices related to RDM. The specific learning outcomes focus on the following aspects:
The Game itself is available at https://rdm-games.gitlab.io/rdm-adventure/
|Cite the data||
Citing a dataset correctly is just as important as citing articles, books, images and websites - each dataset is a source of evidence to support our argument.
This resource includes videos, presentations and top ten tips for citing data. These can be used by trainers to teach and highlight the importance of data citation.
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.
|Data Skills Modules||
These introductory level interactive modules are designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data.
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.
Each module stands alone but those with little experience of surveys may find it useful to start with the Survey Data Module before moving on to the Longitudinal Data Module.
Modules include: Survey Data, Longitudinal Data, Aggregate Data
|DDI Training Material||
The DDI Training Group developed training material for trainers to use and published them in Zenodo. Further slides will be added to the Zenodo Community in the future.
|RDM services @ Library & Information Service||
Section of the Library and information service of Stellenbosch University offering Training and Consultancy on Research Data Management