Data management plan

This is a five-week course for individuals that support researchers to manage and share their data, including librarians, IT and information specialists, data stewards, and research office staff. You’ll discover common research support services, how to create data management plans, and how to develop your own research data management roadmap. You will learn from experts in the field from the internationally-recognised Digital Curation Centre and Research Data Netherlands and build your confidence in supporting researchers and preserving data. This course has been certified by the CPD Certification Service as conforming to continuing professional development principles.

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.

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.

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.

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.

Youtube playlist of online video tutorials demonstrating practical data management aspects such as writing a data management plan, encrypting data files, backing up data, etc.

Chapter introducing research data management and data management planning, explaining basic concepts on:

• research data, social science data, (sensitive) personal data and FAIR principles
• data management and data management plans (DMP)
• the content elements that make up a DMP

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

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.