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