Research data management
Many funders (including the RCUK Councils) expect data with an acknowledged long-term value to be preserved and remain accessible and useable for future research. Data which supports and validates your published research should also be preserved and, where possible, should be openly accessible to other interested researchers. ESRC and NERC part fund data archives where data funded by them can be deposited. ESRC data can be deposited in the UK Data Service and NERC data can be deposited in one of the NERC data centres. Other data centres also exist and a comprehensive list can be found on the Re3data website.
If you are funded by EPSRC then you should abide by the EPSRC data expectations. You should:
- Deposit your data in Loughborough's data repository where it will be securely preserved and given a citable DOI.
- Add metadata only records for data which is held elsewhere.
Deposited data could include:
- Data which supports published research
- Data required to be preserved by your funder
- Data required to be preserved by your publisher
- Data with a recognised long term value to you
- Data with a recognised long term value to other researchers
- Data which cannot be easily replicated
Before you depsosit your data in the data repository please ensure that you have:
- All the necessary documentation and metadata so ensure that your data is understandable to others
- Removed all personal identifiers (if applicable)
- Ensured that you have permission to deposit the data. For example, do you have data sharing agreements in place with any collaborators or asked for permission from the relevant copyright holders.
Depositing in the data repository is a very easy process:
- Log into the data repository using your University email address and your University username and password
- Click on "Create a new item"
- Complete the metadata fields with as much detail as you can
- If you know the DOI of the related article please include this in the "References" field
- Either upload or drag and drag your files onto the record
- If your data has to be embargoed please add a reason for the embargo - this will appear on the record. You can embrgo either the whole record (i.e. neither the metadata or associated files will be visible) or just the data file(s) (i.e. the metadata will visible but the associated file(s) will be hidden)
- To send the record (and data) for curation click on "Publish this item", then on "Publish item", and then click "Yes publish". We have included these extra steps to reduce the chance of data being published by mistake
- Data Repository staff will check your deposit and you will receive an email when the record is published
For help and advice on depositing in the repository please contact email@example.com.
The data repository is primarily designed to make data accessible to other interested parties. As such, the data we want to store can be covered under these broad categories:
- Research data that funders require to be made available
- Data that directly supports publications
- Data that promotes your research and future partnerships
The data we don't want to store can be summarised as:
- Sensitive or confidential data
- Data that is already stored elsewhere in another data repository or archive
- Everything you have (e.g. HPC scratch data)
If you have to preserve sensitive or confidential data and you don't have secure storage available please contact firstname.lastname@example.org. We will be able to work with you to assess what the best solution will be for your circumstances.
Once you have published your data each record receives a DOI which is citable. The DOI can then be included in your articles, directing readers to the supporting data.
The data repository enables you to set up projects where you can collaborate with your colleagues, either internal or external. All that your external collaborators will need is a free figshare.com account.
Projects allow you to give access to all members of your research group to specific datasets. In addition, they could be used for:
- Checking the metadata and data of a colleague before it is published
- Sharing data between members of different research groups and/or departments