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Research data management toolkit

This toolkit aims to support you through the entire lifecycle of research data management (RDM). It explains what you should consider and signposts resources from a wide range of websites and organisations.

About this guide

  • Published: 30 March 2018
  • Updated: 26 July 2021

View full guide as a single page

Contents

Research data management toolkit
  • Plan and design
    • Introduction to research data management
    • Data management planning
    • Policy compliance
    • FAIR principles in research data management
    • Costing
    • Research data in arts, humanities and social sciences
  • Collect and capture
    • Active data storage and backup
    • Metadata - documenting research data
    • File management and formats
  • Collaborate and analyse
    • Collaborative research
    • Visualisations
  • Manage, store and preserve
    • Preservation
    • Security
    • Data protection
    • Protecting personally identifiable information
    • Software
  • Share and publish
    • Intellectual property and copyright
    • Licensing
    • Identifiers
    • Linking your data to a publication
    • Where should I deposit my data?
  • Discover, reuse and cite
    • Data citation and metrics
  • Training and resources for research data management

Why a research data management toolkit?

Today, we create research data in greater volumes than ever before. Therefore, we must ensure that it is safely managed, stored, shared and preserved to act as an evidence base for findings and also so that it can be a valuable resource for future research use.

This toolkit is designed to help the research community discover information on all aspects of research data management – this is currently spread all over the internet and often difficult to reach. It draws together advice and guidance and provides links to best practice in the area.

Research data lifecycle

The RDM toolkit is themed according to the various stages in the research data lifecycle.

Research data management lifecycle
Creative Commons attribution information
CC BY-ND

Training in RDM

Find out about research data management training opportunities.

Stay up to date with RDM

Blogs

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Journals

  • Earth System Science Data
  • International Journal of Digital Curation
  • Scientific Data
  • The Data Science Journal

 

  • Plan and design
  • Collect and capture
  • Collaborate and analyse
  • Manage, store and preserve
  • Share and publish
  • Discover, reuse and cite
  • Training and resources for research data management

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