The Library

Research Support for Staff and Students

Good Research Data Management (RDM) is important for you, your institution, collaborators, funders and other researchers: 

Benefits -

  • Keep research safe, secure and lawful
  • Stay organised and efficient 
  • Increase research validity and integrity
  • Increase research visibility and citations
  • Enable collaboration and data reuse

Data Management and Research Ethics:

  • All research projects need to show how data are managed to receive ethical approval. This will normally be through a Data Management Plan
  • All participants in research projects normally have to give their informed consent (with any exceptions in line with the Research Ethics Policy and Procedures)
  • All data in the life of a project need to be stored securely, accessible only through password-protected files. The Data Management Plan needs to identify processes for secure archiving and destruction
  • If data are to be made openly accessible, then informed consent forms and information sheets need to include this use. Where data will be made openly accessible, the data must be anonymised, and all participants must understand how that takes place so that they are comfortable taking part in the research
  • Not all data from every research project needs to be made openly accessible as not all data are suitable for anonymisation and publishing openly. However, the University believes there is a strong ethical case to move anonymised data into openly accessible repositories

 

Data Management Plans

Your Data Management Plan (DMP) describes what you will collect and how you will organise, analyse, preserve and share your data, taking into account the whole lifecycle of your data. Completing it helps ensure you meet funder requirements (where applicable) and you should complete it as early as possible during the research project. 

If your research project is externally funded by a research council or charitable organisation, check if they have their own DMP

Otherwise, you should download and use the Leeds Beckett University DMP

Research Data Management FAQs

Research Data Management Policy

Leeds Beckett University has agreed the following policy on Research Data Management, covering the activities of all researchers in our institution, both staff and students. It is acknowledged that full implementation of this policy will take place over a period of time.

  1. Research data will be managed to the highest standards throughout the research data lifecycle, and will take into account the definitions and principles described in the RCUK Concordat on Open Research Data 2016
  2. Responsibility for research data management through an appropriate research data management plan; during any research project or programme lies primarily with Principal Investigators (PIs)
  3. All new research projects must include research data management plans that explicitly address data capture, management, integrity, confidentiality, retention, deletion, sharing and publication
  4. Research data management plans must outline how research data are available for access and re-use where appropriate, under appropriate safeguards, and subject to ethical considerations
  5. Where possible, researchers should seek to recover the direct costs of managing research data generated by projects from the research funder
  6. The University will provide training, support, advice and, where appropriate, guidelines and templates for management of research data and for research data management plans
  7. Our University will provide mechanisms and services for storage, backup, registration, deposit and retention of research data assets in support of current and future access, during and after completion of research projects
  8. The Principal Investigator (PI) should ensure that all relevant research data are offered and assessed for deposit and preservation in an appropriate University, national or international data service or domain repository, unless specified otherwise in the data management plan. Any non-digital or digital data which is retained elsewhere, for example in an international data service or domain repository should be registered with the University, for example in our University repository.
  9. Data should not be deposited with any organisation that does not commit to its access and availability for re-use, unless this is a condition of the project funding or arising from other requirements
  10. Exclusive rights to reuse or publish research data should not be handed over to commercial publishers or agents without retaining the rights to make the data openly available for re-use, unless this is a condition of funding
  11. All relevant data and the intellectual properties rights of that data are subject to our University’s IPR policy

Open Data Webinar

Data Tree

Data Tree is a free online course offering modules to teach you about different aspects of data management. You can complete it as a course or just dip in it as you need to. To sign up, visit the Data Tree website.