Sharing
The Research Data Service aims to support FAIR data (Findable, Accessible, Interoperable and Reuseable). Sharing research data has many benefits, from increasing impact and visibility of research to creating new collaborations between data users and creators. Many research funders and publishers also mandate data sharing.
Data Sharing
A step-by-step guide to data sharing:
- check your funder’s data sharing requirements.
- prepare data to be deposited, including how personal and sensitive data will be handled.
- ensure you have the appropriate permissions to make data public, or available for reuse.
- consider access restrictions on the data (conditions of access and embargoes).
- choose a repository based on discipline, access restrictions, and storage space requirements (see below).
- upload the data with supporting documentation and apply a licence to the data.
- add a Data Access Statement to your research outputs, including publications.
- add a metadata record to the 缅北禁地 repository if the data are held elsewhere.
Figshare
is an institutional instance of Figshare. It allows researchers to document, archive and publish datasets, where there isn’t a funder-specified or discipline-specific facility. The repository will make research data discoverable, promoting reuse, tracking impact, and potentially leading to new collaborations. Data deposited will be preserved for at least 10 years and in most cases openly accessed.
Please note that this repository can be accessed at , is linked to your author profile and is separate from the non-institutional Figshare repository.
Guide to depositing research data in Figshare
Before uploading your files, please ensure that you have the appropriate permissions or informed consent for publishing the data. If relevant, anonymise the data.
Read our guide to go through the metadata fields that you must include to ensure the richness of the record, and that your data are FAIR. The guide will also include the aspects you should consider regarding file management, sensitivity and restrictions.
Other repositories
Where possible, we recommend using discipline-specific data repositories: you can find one for your subject via . Some funders expect data to be deposited in specific data centres e.g. ESRC and NERC support dedicated data centres. Also consider whether any agreements with your collaborators include requirements for data deposit.
Repository takedown notice
If you believe you have a legitimate reason to request the removal of an item in the repository (relating, for instance, to issues with intellectual property, copyright, data protection or other legal issues), please send an email to lrs@ncl.ac.uk with the following details:
- bibliographic details of the material, including the full URL;
- the nature of your complaint and action required;
- if your complaint or request relates to copyright or related rights, confirmation that you are the rights holder or affected subject, or an authorised representative of the rights holder or affected subject;
- your contact details.
We will acknowledge receipt as soon as possible. Where the grounds for complaint appear to be reasonable, we will temporarily remove the material in question, pending further investigation. If the complaint is found to be legitimate, the material will be permanently removed from the repository.