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Research Data Management: Responsibilities & Resources

Bringing together University resources and services to facilitate researchers in the production of high quality data.

At a Glance

It is important for all members of the research team to understand who is responsible for data management:

  • Who is responsible for the various aspects of data management?
  • How often will the plan be updated and reviewed?
  • What resources (financial & time) are needed?

Data Management costs which can be justified should be included in grant proposal budgets. These costs need to be considered at the beginning of a research project, as for all funders funding ends at the end of project. Therefore any costs must be incurred within the time of the grant and need to be written in at application stage.

Update your DMP

Your Data Management Plan is not designed to be a static document and should be updated periodically:

  • If there are any major changes to your research project
  • If you are generating any new data
  • Before any reporting period to your funder

Data Responsibility

  • Depending on the size of your research project it migth be useful to hire a dedicated project manager who, alongside their main function, also has explicit responsibility for data management.
  • Access to your data needs to be controlled. One person needs to oversee data collection and file management.
  • If you are working with multiple partners, discuss and agree who will have ownership of the data at the end of the project.
  • Establish and publish a policy on data sharing at the end of the project if appropriate. Include governance on who makes the decision to share the data and if there are any restrictions.
  • At the end of the project, ensure your long-term data storage procedures are executed, for example, submission to data repositories, specific funding agency requirements or otherwise.

Research Data Management Costs

People
  • Support for (part or full time) dedicated Data Managers or Data Scientists for data collection, analysis etc.
  • Any data or software management training required by staff to deliver the proposed research

Not usually considered

  • Occasional or routine support from institutional support staff
 
Storage & Computation
  • Dedicated hardware or software required for the proposed research, for example encrypted laptops, encrypted recording devices
  • Costs to access supercomputers or shared facilities

Not usually considered

  • Costs associated with routine data storage
 
Creation & reuse of data
  • Costs to access data, software and materials
  • Transcription
  • Anonymisation
  • Obtaining informed consent
 
Deposition & Preservation
  • Preparation of data for deposit with an Archive or Repository, for example
    • Transcription
    • Data description
    • Data cleaning
    • Creating documentation
    • Creating metadata
    • Formatting and organising of data
    • Copyright clearance
  • Ingestion or deposition costs for Repositories or Archives

Not usually considered

  • Costs for curation and maintenance of data, code and materials beyond lifetime of the grant