Data sharing

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Title Body
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:

  • Data management planning
  • Organising & documenting data
  • Data storage & security
  • Ethics & copyright
  • Data sharing

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.

RDM for librarians

Content for a three-hour introductory RDM session for librarians. The course covers:

  • Research data and RDM
  • Data management planning
  • Data sharing
  • Skills

The materials consist of presentation slides and an accompanying handbook.

Consent for data sharing resources

Detailed guidance for researchers, with model consent form and example consent forms, on how to consider future reuse of research data as part of consent procedures with research participants. To make sure that research data, in particular qualitative data, can be made available for future reuse, it is important that consent for future reuse of the data by other researchers is sought from participants. Participants should be informed how research data will be stored, preserved and used in the long-term, and how confidentiality can be protected when needed.

Guidance considers written and verbal consent, the timing of consent, examples consent forms and wording to use, etc. 

University of Amsterdam : research data management : basic training course for information specialists

Contains materials included in the course 'Research data management : basic training course for information specialists', developed at the University of Amsterdam

The course is broad and includes the following modules:

- Data organisation and description

- Data Services (information, advice, referral, training)

- Data sharing and reuse

- Data storage and retention

- Data management planning

- Introduction to research data

- Introduction to RDM training

- Rules concerning research data

 

Legal and ethical issues in data collection

The lecture was held at the European Social Research Association (ESRA) 2019 Conference in Zagreb, Croatia, in July 2019. Alexandra Stam and Anne-Mette Somby discuss the legal and ethical challenges in data collection.

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.

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Title Body
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:

  • Data management planning
  • Legal and ethical aspects of managing and sharing data
  • IP Rights
  • Documenting data
  • Formatting data
  • Storing data

 

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:

  1. Understand the nature of research data in a variety of disciplinary settings
  2. Create a data management plan and apply it from the start to the finish of your research project
  3. Name, organise, and version your data files effectively
  4. Gain familiarity with different kinds of data formats and know how and when to transform your data
  5. Document your data well for yourself and others, learn about metadata standards and cite data properly
  6. Know how to store and transport your data safely and securely (backup and encryption)
  7. Understand legal and ethical requirements for managing data about human subjects; manage intellectual property rights
  8. Understand the benefits of sharing, preserving and licensing data for re-use
  9. Improve your data handling skills in one of four software environments: R, SPSS, NVivo, or ArcGIS

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.