ESRC Data Management plan and policy
ESRC Data Management plan and policy
Making research available
The ESRC research data policy recognises research data as the main assets of economic and social research. It expects data generated through ESRC-funded research to be openly available and accessible for secondary scientific research, with as few restrictions as possible, in a timely and responsible manner.
ESRC has a longstanding arrangement with the UK Data Archive as a place for the deposit of research data, with grant holders required to submit data resulting from their research grants via the UK Data Service ReShare repository. We enable data reuse by preserving data and making them available to the research and teaching communities. Please find out more information about all of this below:
ESRC also requires a data management plan for all research grant applications generating data, as part of the Je-S application.
A robust plan will ensure a structured approach to managing data from early in the research process, resulting in better quality data that are ready to deposit for further reuse and sharing. We provide guidance on research data management planning.
ESRC expects grant holders to consider all issues related to confidentiality, ethics, security and copyright, before initiating the research. Any challenges to data sharing, such as copyright or data confidentiality, should be critically considered in a plan, with possible solutions discussed to optimise data sharing.
A data management plan includes the following topics:
- An explanation of the existing data sources that will be used by the research project, with references.
- An analysis of the gaps identified between the currently available and required data for the research.
Where research grant applicants plan to create new data as part of their ESRC-funded proposal, they must demonstrate that no suitable data are available for re-use.
ESRC encourages the re-use of existing data and therefore encourages applicants and grant holders to consider the breadth of data available from various sources before committing to primary data collection.
When using existing data sources, consider copyright and Intellectual Property rights (IPR) of those data and the conditions of their use, to decide whether resulting derived data can be shared.
Data sources that can be consulted are:
Provide information on the data that will be produced or accessed by the research project:
- data volume
- data type
- data quality, formats, standards documentation and metadata
- methodologies for data collection and/or processing
- source and trustworthiness of third party data
Using standardised and interchangeable data formats ensures the long-term usability of data. Clear and detailed data descriptions and annotation, together with user-friendly accompanying documentation on methods and contextual information, makes data easy to understand and interpret and therefore shareable and with long-lasting usability.
Quality control of data is an integral part of a research process. The procedures for quality assurance that will be carried out on the data collected at the time of data collection, data entry, digitisation and data checking should be described.
For example this may include:
- Documenting the calibration of instruments.
- Taking duplicate samples or measurements.
- Standardised data capture, data entry or recording methods.
- Data entry validation techniques.
- Methods of transcription.
- Peer review of data.
Describe the data security and backup procedures that you will adopt to ensure the data and metadata are securely stored during the lifetime of the project. If your data is sensitive (e.g. detailed personal data) you should discuss appropriate security measures, which you will be taking. You may need to discuss your institution’s policy on backups.
Outline your plans for preparing, organising and documenting data. A crucial part of making data user-friendly, shareable and with long-lasting usability, is to ensure they can be understood and interpreted by other users. This requires clear and detailed data description, annotation and contextual information, as well as good-structured and well-organised data files.
Identify any potential obstacles to sharing your data and explain possible measures you can apply to overcome these. State explicitly which data may be difficult to share and why. If ethical issues could cause difficulties in data sharing, explain your strategies for dealing with these issues in the relevant section of the Je-S form, e.g. discussing data sharing with interviewees as part of consent discussions or anonymising data.
The ESRC supports the position that most data can be curated and shared ethically, provided researchers pay attention right from the planning stages of research to the following aspects:
- When gaining informed consent, include consent for data sharing.
- Where needed, protect participants’ identities by anonymising data.
- Address access restrictions to data in the data management and sharing plan, before commencing research.
Make explicit mention of the planned procedures to handle consent for data sharing for data obtained from human participants, and/or how to anonymise data, to make sure that data can be made available and accessible for future scientific research.
If you are unsure of how issues of confidentiality are to be addressed to facilitate data sharing, please get in touch for advice.
State who will own the copyright and IPR of any new data that you will generate.
Indicate who within your research team will be responsible for data management, metadata production, dealing with quality issues and the final delivery of data for sharing or archiving.
Provide this information within the Staff Duties section in the Je-S form and where appropriate in the Justification of Resources. If several people will be responsible, state their roles and responsibilities in the relevant section of the Je-S form.
For collaborative projects explain the coordination of data management responsibilities across partners in your Data Management Plan.
If you have a specific query relating to data management planning for your ESRC application or award, please get in touch.
Research centres often manage multiple datasets at different stages of the research process. Our data inventory template can be used to keep track of your centre’s data assets and to coordinate future data deposits.
We have developed specific data management and sharing guidance for centres and collaborative research.
If you would like us to visit your research centre to discuss data managing and deposit of your data with the UK Data Service in detail, get in touch.
We also run regular training workshops covering managing and sharing research data. Please visit our events page to see our upcoming training opportunities and previous workshop materials.