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.

 

Research data management/FAIR data

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Title Body
Australian Research Data Commons Training Materials

The ARDC is a transformational initiative that enables Australian research community and industry access to nationally significant, leading edge data intensive eInfrastructure, platforms, skills and collections of high-quality data. The purpose of the ARDC is to provide Australian researchers with competitive advantage through data, providing access to leading edge eResearch collections, tools, infrastructure and services. Its mission is to accelerate research and innovation by driving excellence in the creation, analysis and retention of high-quality data assets.

RDM services @ Library & Information Service

Section of the Library and information service of Stellenbosch University offering Training and Consultancy on Research Data Management

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Title Body
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:

  1. Data management planning
  2. Designing participant information sheets and consent forms
  3. Choosing appropriate equipment for research projects
  4. Acquiring suitable third-party research data
  5. Organising research data
  6. Storing research data appropriately
  7. Analysing and documenting research data
  8. Preparing research data for archiving
  9. Publishing research data

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

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.

Dissertation Guide

Guide designed to be used as a resource for encouraging better data management and research integrity in undergraduate dissertations, and is aimed at RDM trainers and teachers supervising research projects and students undertaking them. The resource consists of a number of practical templates and exemplars, and a link to the slides for teaching is also included. These can be adapted and modified to suit various project needs and different disciplines.

Qualibank

QualiBank is an online tool for browsing, searching and citing the content of selected qualitative data collections held at the UK Data Service.

DMPonline

DMPonline is a web-based tool that supports researchers to develop data management and sharing plans. It contains the latest funder templates and best practice guidelines to support users to create quality DMPs.

Within the tool you will find custom guidance and example answers to help you develop your DMP. These are offered by the DCC, research funders and many research organisations. You can also browse the growing list of public DMPs published by other users of the tool for inspiration.

The service is free at the point of use for researchers to develop DMPs regardless of whether their institution or funder is a customer. DMPonline is also available on subscription for institutions that require a customised service.

OpenAIRE FAQ on Open Science, RDM

FAQ by OpenAIRE answering various questions around Open Science and RDM.

Use cases of OpenAIRE services for different stakeholders

OpenAIRE is preparing use case narratives with scenarios of Open Science services offered by OpenAIRE targeting different users: researchers, research communities/research infrastructures, content providers, funders, managers of research.

The main goal is to showcase how OpenAIRE services are contributing to embed Open Science into researchers' daily workflow and to implement and align Open Science policies and infrastructures across European research institutions.

Benefits and assumptions of those who already use the OpenAIRE services and several best practices on Open Access publishing, sharing research data and enriching the repositories content will be made available on the website