Why is data management planning important?
Custom DMP templates using the Data Stewardship Wizard
Through work supported by the UKRI-funded BioFAIR digital research infrastructure, ELIXIR-UK is developing and promoting UK-specific templates in the Data Stewardship Wizard (DSW) – an ELIXIR-recommended interoperability resource and a Horizon Europe-recommended resource for DMP creation.
These templates reflect the requirements of UK funders, such as BBSRC and MRC, and allow institutions to:
- Adopt headings of common DMP templates from funders
- Add sections for specific data types or policies
- Provide reusable boilerplate text to ensure consistent wording
- Link their DMPs to community standards, databases and policies via DSW’s link to FAIRsharing.
17 DMP Examples
Using the templates created in the DSW
Browse examples
They cover diverse data types and organisms, using a template aligned with the BBSRC Data Sharing Policy. All are hosted on the UK national DSW instance and available on Zenodo.
Two versions of each DMP exist:
- A longer version uses a template built from the BBSRC template, enabling a greater depth of granularity over a longer word count
- A concise, summarised version with a 500-word limit is based on page 7 of the BBSRC data sharing policy
Exploring the transcriptional program that instructs remodelling of the branchial arches (BA) in the heart
The University of Manchester
Prediction of di-nucleotide-specific DNA-binding sites in proteins using neural networks
The University of Manchester
Predicting health risks from genomic, environmental and lifestyle factors using machine learning
The University of Manchester
Failure of vein grafts and the impact on cardiovascular health after coronary artery bypass surgery
The University of Edinburgh
Target specificity of Drosophila PAX6 transcription factor homologs
Oxford Brookes University
The role of the Drosophila scarface gene in feeding behaviour
Oxford Brookes University
A novel library of tagged transcription factors in Drosophila
Oxford Brookes University
The prognostic value of cardiac biomarkers in predicting cardiovascular outcomes
The University of Edinburgh
The use of synthetic images of electrocardiograms and their applications in artificial intelligence (AI) algorithms
The University of Edinburgh
Investigating biochemical and structural changes to brain white matter in ageing rodents following immune challenge
The University of Edinburgh
New Rotations: smarter cropping for healthier environments
Rothamsted Research
Using Artificial Intelligence for secondary analysis of ZEB34A clinical trials data
Cardiff University
Linking routine data with clinical trial data to determine treatment outcomes from the ZEB34A clinical trial
Cardiff University
Using Artificial Intelligence for secondary analysis of ZEB34A clinical trials data
Cardiff University
Understanding patient symptoms, thoughts and experiences of hyperemesis gravidarum during antenatal and postpartum periods
The University of Edinburgh
Developmental predictors of anxiety in childhood and the impact of the COVID-19 pandemic on self-reported anxiety behaviours in young adults
The University of Edinburgh
Transcriptome analysis of diabetes type 1 patients and mouse models
Robert Andrews, Cardiff University
Vasileios Lenis, University of Birmingham
Quick videos on how to write DMPs
Created by ELIXIR-UK Fellows as part of the ELIXIR-UK DaSH project, these short videos reflect real-world experience and provide practical guidance on writing and reviewing DMPs. They are a direct ELIXIR-UK output.
Things to consider when writing a DMP
Description of the Data
Data collection / generation
Data management, documentation, and curation
Data sharing and access
Data security
Other sections
Responsibilities and policies
RDMkit: the biosciences FAIR data management toolkit
Learn more:
Community-led
Practical & domain-specific
UK led
Supported by
This work is part of the UKRI Innovation Scholars – DaSH programme (MR/V038966/1) and BioFAIR.
Contributors
Allyson Lister, Gabriela Vieira, Korneel Hens, Liz Merrifield, Marek Suchánek, Mo Aboshokor, Munazah Andrabi, Nick Owen, Reuben Noy-Scott, Richard Ostler, Robert Andrews, Vasileios Panagiotis Lenis, Jamie McQueen. We also acknowledge UKCEH for the discussions on DSW implementation.
How do we contribute as a Node
ELIXIR-UK supports the development and adoption of FAIR-aligned data management practices through:
- Content creation and curation: Contributing to RDMkit guidance around DMPs and specific UK-related data policies.
- Tool adoption: Supporting the deployment of the Data Stewardship Wizard (DSW) across UK institutions through templates, training and configuration support with practical examples.
- Training and community engagement: Producing RDMbites and case studies via our Fellowship programme, highlighting real-world applications of DMP tools.
- Advocacy and integration: Promoting machine-actionable DMPs and aligning UK practices with international standards through ELIXIR collaborations.


