What is data management?

Data management is everything you do to plan, create, capture, record, analyse, store and share data. Data management can also include the discovery, reuse and citation of publicly available data.

The research data life cycle:
Plan and design, collect and capture, collaborate and analyse, manage, store and preserve, share and publish, and discover, reuse and cite.
Figure 1 Research data life cycle. Image from JISC under CC-BY-NC-NN.

Why should you care about data management?

There are many reasons!

  • Having a plan helps you by improving your efficiency, reproducibility of your work and by keeping your data secure and safe
  • Many funders now require a data management plan
  • Making your data publicly available to the research community can help your career and spark new collaborations
  • Much of the data generated is only used to answer one or two very specific questions, so more can be achieved from the data if shared publicly