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.

 

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Training Toolkit for Digital Literacy

This toolkit is a self-contained package providing the information, guidance, and materials needed for an institution, organization, community group, or individual to deliver trainings in digital literacy in their communities. The Toolkit addresses the complete range of activities to consider in undertaking such trainings, from planning and scheduling to feedback and follow-up. The focus, however, is on training the trainer for successful classroom delivery, and the bulk of the resources are devoted to providing trainers with the tools, understanding, support, and skills necessary for this outcome.

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.

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

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 good 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. 

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RDM services @ Library & Information Service

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

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.