The SciLifeLab Data Repository, powered by Figshare and supported by SciLifeLab and the Knut and Alice Wallenberg foundation through the Data-Driven Life Science (DDLS) program, is a repository for publishing any kind of research-related data, e.g. documents, figures, or presentations. Figshare is an open data repository used by researchers in numerous disciplines. Through an agreement with Figshare, SciLifeLab offers researchers and units the opportunity to upload and publish their research data through a dedicated portal.
The purpose of the SciLifeLab Data Repository is to serve publishing of data. The Repository is not meant for restricted data sharing between project partners only or as temporary storage, and all data uploaded is expected to become public at some point. However, data that requires controlled access can also be handled, by submitting a meta data record without the actual files or by uploading files with an embargo.
Individual users automatically receive 50 GB of storage space which can be increased by request. When uploaded data is published, a permanent DOI link is created which can be used for citations.
Starting March 2 2021, if you are employed at a Swedish university you can use the SWAMID authentication process to login in to the SciLifeLab Data Repository and an account will be created for you. Note, also existing accounts will be using SWAMID authentication from March 2, 2021.
If you do not have a university affiliation please email email@example.com and an account will be created for you. Users with manually created accounts can then log in at https://scilifelab.figshare.com/account/login.
If you already have a figshare.com account you can migrate the content of that account to your account at the SciLlifeLab Data Repository. To do this, please email firstname.lastname@example.org and we will assist you. After the content has been migrated you might be given suggestions on improvements that could be done to your migrated items in order to fulfill the standards of the SciLifeLab Data Repository.
To log in, go to the SciLifeLab Data repository and click on the red Log in button in the top right side of the screen. You will then be redirected to use your university credentials through the SWAMID authentication procedure.
Users with manually created accounts(without a university affiliation) log in at https://scilifelab.figshare.com/account/login.
Who can get help? If you are a researcher at a Swedish academic institution working in SciLifeLab’s areas of activity, you can get help from SciLifeLab Data Management support team.
SciLifeLab Data Centre promotes Open Science and data sharing according to the FAIR principles, so for data that can not be shared openly SciLifeLab Data Repository also has support for data sharing under restricted access.
If data are published under restricted access (e.g. because the data are sensitive, and can only be accessed under certain conditions), the reason(s) for this must be explained in a data access statement. This statement should include the specific criteria regarding access to and subsequent use of the data (e.g. ‘provide proof of approved ethical consent application or scientific purpose of data access request’ and ‘those accessing the data must agree not to host or share the data outside of the requesting organisation’). The statement will enable individuals making an access request to understand which information is required from them in order for the author/data owner to assess whether access can be granted or not. The statement should streamline the process involved in making and processing data access requests, to the benefit of both requesters and authors/data owners.
You must add licenses for how the published material can be reused. Files which have been uploaded and published cannot be altered, although the entry’s metadata can be edited after publishing, see Edit Items. The platform supports versioning of datasets in case the files need to be updated. Sensitive personal data cannot be deposited in the SciLifeLab Data Repository, but metadata descriptions of such datasets can be submitted, see information on Publishing human data. It is not allowed to upload illegal material, claim authorship of the work of others, or in other ways misuse the service in such ways that violates laws or research ethics.