SciLifeLab Data Repository
The SciLifeLab Data Repository is powered by Figshare. It is supported by SciLifeLab and the Knut and Alice Wallenberg foundation through the Data-Driven Life Science (DDLS) program, and also by the Swedish Foundation for Strategic Research (SSF). It 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.
Why use the SciLifeLab Data Repository
- Data is made citable through its DOI
- Connect data with its publication
- Datasets are indexed by Google Dataset Search
- Data can be indexed by Google Scholar
- Increase the FAIRness of data
- Permanent storage of data
- Connect data with its funding through the Dimensions database
- Integrate GitLab, GitHub and Bitbucket to allow for easy synchronisation and publication of repositories from these services
- ORCiD integration
Getting an account
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 datacentre@scilifelab.se 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 datacentre@scilifelab.se 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.
How to log in
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.
Data access statements
SciLifeLab Data Centre promotes Open Science and data sharing according to the FAIR principles. In some cases, it may not be possible to share data openly, for example, because the data are sensitive or can only be accessed according to certain conditions. The SciLifeLab Data Repository enables such data to be sharedunder restricted access.
Where data are published under restricted access, the reason(s) for this must be provided in a data access statement.The statement should include specific criteria for accessing and subsequently using the data (e.g. ‘ethics approval required’ and/or ‘commitment not to host or share the data outside the requesting organisation’). The statement must provide sufficient detail to enable those making an access request to understand which information is required for the author/data owner to assess whether access can be grantedor 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 can use the template provided below to create your data access statement. Please note that this template is designed specifically for items published on the SciLifeLab Data Repository with the ‘request access’ functionality enabled. To complete the template, choose the option(s) within the brackets that apply to your specific case (delete as appropriate). The template uses the Data Use Ontology (DUO) to describe the conditions for data use. You can use the Ontology Lookup Service to browse the DUO.
Conditions of Use
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. 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.