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Integrated sessions: Read this: Core principles of Research Data Management

Read this: Core principles of Research Data Management

This page provides an overview of the core principles of Research Data Management. It will be helpful for you to consider, no matter the stage of your research project. Generally speaking, however, the earlier you reflect on data management and how you will manage this, the easier it will be to manage your project.

What am I trying to achieve?

Good data management practices are essential in research, to make sure that research data are of high quality, are well organised, documented, preserved and accessible and their validity controlled at all times.

Well-managed data are easily shared and can thus be used for new research or to duplicate and validate existing research.

Research Data Management (RDM) needs to be planned early in a project (or beforehand), so that practices can be implemented throughout the research cycle.

Visualisation of the data lifecycle

 

This text and graphic has been adapted from the UK Data Service's training materials for 'Preparing and Managing Data'. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors.

newSee also: A Guide to Research Data Management (2021), from the British Library - a concise overview of core principles for beginners, with key terms explained in plain English.

What counts as 'data'?

image of a pile of papersRDM is not just for scientists!  Research 'data' (or 'material') comes in many forms. For instance:

Diaries Audio recordings and transcripts Lab/field notebooks
Search histories Photographs and videos Source code
Bibliographies Survey responses Specimens and samples
Quotations Test results Models

University of Hull Policy

Version 2 of the University's Research Data Management and Sharing Policy was approved by the Concordats Steering Group in October 2023, applying to all research carried out at the University of Hull.  The policy has been adopted  "to establish principles for effective management of the research data generated within the University, and its dissemination", informed by FAIR Guiding Principles, UKRI's own policy and the University's Concordat on Open Research Data.

 

Some points to note:

  • The policy applies to research carried out by staff and students, in all disciplines, independent of any funder expectations.
  • All research projects should have a data management plan, stored with other project documentation.
  • Ethical approval for projects making use of personal/sensitive data must consider management of the data.
  • Research data stored on University systems should not be retained for longer than 7 years without a review.
  • Completed datasets should be catalogued on the University's Research Information System (currently Worktribe).
  • Research data (including software) should be shared openly whenever possible, by depositing it in the University's Repository or an external service.
  • On leaving the University, researchers must ensure that the University retains access to (a copy of) their data.

University of Hull researchers should also familiarise themselves with the University's policies on Data Protection, Information Handling and IT Usage, which can be found in the University's Policies Directory.

 

Completion of the University's Cyber Security and Data Protection online modules (accessed through Workday) is mandatory for all University of Hull staff.

Further reading about principles and good practice when managing sensitive data.


Sharepoint also provides information about the University's policies in support of Research Integrity, and process for Ethics Approvals:

Research Integrity and Ethics

Selected funders' policies for research data management and sharing

Key contacts at the University of Hull

Planning for the preservation and dissemination of your data in line with research funder/publisher terms:

  • rdm@hull.ac.uk  (Kirstyn Radford, Research Outputs Specialist, Brynmor Jones Library)

Data protection, research integrity and ethics (Sharepoint sites for University of Hull researchers):


Data ownership, licensing and knowledge exchange:


Data handling, including secure file storage, software installation and use of the University's High Performance Computer (VIPER) for processing high volumes of research data with low levels of sensitivity:


Hull Health Trials Unit provides specialist support for clinical research, including mediated access to NHS data, and services to facilitate storage and processing of sensitive data, such as the Data Safe Haven: