Skip to content

Resources

Research Data

Research Data Management

Research data management online training
Resources for developing data management plans

If you want to find out more about data management plans (DMPs), explore the resources below.

  • UGent Open Science have created a short video explaining the importance of DMPs and how to go about developing one. Watch it here
  • Research Data Oxford provide an overview of DMPs such as what they should include and how to develop them. Explore the guidance here.
  • Digital Curation Centre's (DCC) guide 'How to Develop a Data Management and Sharing Plan' and DMP checklist.
  • UK Data Service provides a Data Management Costing Tool, a table listing data management activities and a column to estimate the cost of each activity. You can include this spending forecast in your DMP so you can assess whether you are on track as you go along. You can see the costing tool here.
Explore data management plans templates and examples

If you want to create a DMP, you can view other projects DMPs to help inform how you make your own. Explore the sites below which store data management plans and offer templates and guidance.

  • On the ARGOS platform, you can view previous DMPs. It also provides guidance and tools to create your own plan.
  • Developed by the Digital Curation Centre (DCC), DMPonline facilitates the creation, review, and sharing of data management plans. The online, open resource contains DMP templates and public DMPs for reference.
  • DMP Tool contains public DMPs for reference as well as a list of requirements from different funders to ensure DMPs meet the criteria of the funding body.
  • Data Stewardship Wizard is an open-source platform for collaborative and living data management plans trusted worldwide. You can access the tool here.

FAIR

Guidance
  • GO FAIR is a stakeholder-driven initiative that aims to implement the FAIR data principles. They provide information on each principles as well as suggestions on how to go FAIR. Check out their guidance on the FAIR Principles here
  • 'How to Fair' takes a deep dive into what FAIR is and how you can implement it. You can explore the website here.
  • Research Data Center of the University of Mannheim's Research Data Centre has produced pdf guides for each of the FAIR principles, giving guidance on how to implement them.
Online training
FAIR checklists

Different organisations have created checklists to help researchers assess how FAIR their data is. Check a few out here ...

Metadata Introduction

Research Data Lifecycle