|DIY Research Data Management Training Kit for Librarians||
Training kit for librarians who wish to gain confidence and understanding of research data management, based on open educational materials, covering five topics:
The kit uses the Research Data Mantra online course and selected exercises from the UK Data Archive. It further contains a training schedule, podcasts for short talks, presentation slides, evaluation forms, data curation profiles and reflective writing questions based on the experience of academic librarians who have taken the course.
Data Curation Profiles provide a complete framework for interviewing a researcher in any discipline about their research data and their data management practices.
|Organise and Document||
Chapter on how to properly organise and document data and metadata, discussing good practices in designing an appropriate data file structure, file naming and organising data within suitable folder structures; how organising data facilitates orientation in the data file, contributes to the understanding of the information contained and helps to prevent errors and misinterpretations. Also what counts as appropriate documentation of data, development of rich metadata to make data FAIR and standards to promote data sharing.
|Meeting funders’ requirements - archiving and data sharing||
This introductory webinar is for anyone who is involved in the collection of data and is considering making (some of) their data available in accordance with funders’ requirements. More and more funders are requiring that research data be made available after completion of the research project, usually through the archiving of data in a trusted repository. However, research teams often still lack the appropriate skills and knowledge regarding how to properly prepare their data for archiving and sharing.
This webinar aims to raise awareness about relevant key data management practices for sharing, specifically regarding data documentation, gaining consent, and data anonymisation. Addressing each of these three topics, it provides a short theoretical introduction, including what FAIR means and how it is implemented, as well as practical illustrations drawing on a large-scale cross-national survey (the European Social Survey). It also provides some practical tips with respect to data archiving, in particular how to choose an appropriate archive or repository.
|UK Data Service: Manage Data||
Online data management guidance and resources for researchers, developed by the UK Data Service. This resource provides best practice guidance and advice, including examples, exercises, tools and templates. The focus is on the social sciences and research with human participants. Particular areas covered are:
|Research Data Mantra||
Free online course for those who manage digital data as part of the research process. It has been created for the use of post-graduate students, early career researchers, and also information professionals.
There are eight online units in this course and four data handling tutorials that will help you:
Each unit takes up to one hour, plus time for further reading and carrying out the data handling exercises. In the units you will find explanations, descriptions, examples, exercises, and video clips in which academics, PhD students and others talk about the challenges of managing research data.
|CESSDA Data Management Expert Guide||
The Data Management Expert Guide is designed by European experts from the CESSDA Training Working Group to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).
The guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.
The guide leads through the research data lifecycle from planning, organising, documenting, processing, storing and protecting data to sharing and publishing them. Taking the whole roundtrip will take approximately 15 hours.
Particular specialties of the guide is a focus on European diversity (for example in data protection legislation, research ethics, research funder DMP requirements, etc), developing a Data Management Plan as you progress through the guide, and topical expert tips.