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.
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.

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.
See 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.
RDM 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 |
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:
University of Hull researchers should also familiarise themselves with the University's Concordat on Open Research Data (2023), and institutional 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:
UKRI Seven Common Principles on Research Data (updated 2021): an overarching framework for research councils' policies, plus guidance documentation.
Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner.
See the tab for your funding council for further information.
To meet the terms of UKRI's revised Open Access Policy (2021), all in-scope journal articles acknowledging UKRI funding:
should contain a Data Access Statement. This informs readers where the underlying research materials associated with a paper are available, and how the research materials can be accessed. The statement can include links to the dataset, where applicable and appropriate.
BBSRC Data Sharing Policy (2017):
BBSRC expects research data generated as a result of BBSRC support to be made available with as few restrictions as possible in a timely and responsible manner to the scientific community for subsequent research.
Applicants seeking research funding from BBSRC must provide a one-page Data Management Plan, including the details of the volume, type and content of data that will be generated, the standards and methodologies that will be adopted, further intended and/or foreseeable uses for the data, and methods and timescales for data sharing.
Funding to support the management and sharing of research data (for example staffing, physical resources such as storage and networking capability) can be requested as part of the full economic cost of a BBSRC research project - see Costing Research Data Management.
CRUK Data Sharing and Management Policy (Feb 2025):
"Data should be made available as widely and freely as possible to maximise public benefit, ensuring compliance with any applicable ethical requirements and while safeguarding the privacy of research participants, through following UK GDPR and relevant local rules and regulations.
CRUK requires grant applicants to provide a data management and sharing plan as part of their application which aligns with FAIR (Findable, Accessible, Interoperable and Reusable) data principles and our Research Data Strategy.
Read the full policy for more detail on:
EPSRC Policy Framework on Research Data (2011, updated 2022):
Some key points:
ESRC Research Data Policy (2018):
All data created or repurposed during the lifetime of an ESRC grant must be made available for re-use or archiving within three months of the end of the grant. Grant holders must provide metadata for resource discovery via the UK Data Service to maximise the discoverability of ESRC data assets.
July 2023: The ESRC application gateway has transitioned from Je-S to the new UKRI Funding System, and the data management planning element of the application has been restructured. UKHEIs are awaiting guidance from ESRC re their criteria for evaluating data management plans in the new format (max. 500 words).
See also the UKRI guide to Submitting Datasets to the UK Data Service.
The European Commission's Open Research Europe platform is "an open access publishing platform for the publication of research stemming from Horizon 2020 funding across all subject areas. The platform makes it easy for Horizon 2020 beneficiaries to comply with the open access terms of their funding and offers researchers a publishing venue to share their results and insights rapidly and facilitate open, constructive research discussion".
Although ORE does not currently operate as a data repository, researchers are encouraged to submit a Data Note: a dataset description including "rationale, protocol, validation and limitation details" and a data availability statement, to facilitate citation. ORE's Data Guidelines provide practical advice about preparing your data for deposit, a helpful list of 'approved' repositories for a range of disciplines and data types, and a guide to Data Sharing Made Simple.
Horizon-funded researchers also benefit from the European Open Science Cloud (EOSC), providing services and tools for research data registration, annotation and discovery.
Researchers awarded funding under the new Horizon Europe programme will be required to deliver a data management plan within 6 months of the project start date, informed by FAIR principles and a commitment to preserve data "as open as possible; as closed as necessary".
MRC Data Sharing Policy (2023) 
Selected core principles:
Selected specific actions required from the researcher:
See MRC Guidance for the UKRI Funding Service (2024) for tips about "How to write your data management plan"; also their Guidance for Sharing Data About People (2023) for advice about patient confidentiality, consent forms, supporting material and more.
NERC Data Policy (2022):
NIHR Position on the Sharing of Research Data (2021):
Researchers are required to...
See NIHR's How to Publish guidelines for a step-by-step practical guide to preparing data for sharing, selecting a repository and adding a data availability statement to an article.
A registry of UK Funders' Data Policies and DMP Requirements is maintained by the UK Digital Curation Centre.
For a global registry of policies, start from FAIRSharing: Policies, a directory managed by the Data Readiness Group at the University of Oxford.
Planning for the preservation and dissemination of your data in line with research funder/publisher terms:
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:
