Research data platforms and FAIR evaluation

Overview - research data platforms and FAIR evaluation (PDF).

Dataverse

Dataverse was created by Harvard University. Harvard's server is located in the United States, and there may be limitations on transfer of certain types of information, such as personal data outside of the EU. The system provides support for several subject-specific standards.

Stockholm University has its own subgroups, so-called 'sub dataverses', one of which is the Stockholm University Library Dataverse. It may be used by all researchers at the university who wish to store and publish research data without creating a new platform for a project. It is also possible to search all data sets within Dataverse with the author affiliation 'Stockholm University'.

Metadata Standards

Mandatory metadata include: title, author, contact information, description of datasets and subject/research area. Dataverse also provides support for geospatial metadata and subject-specific metadata within astronomy/astrophysics, biological sciences, humanities and social sciences. Uploaded data receive a permanent DOI link, which allows for easy citation and sharing.

Login

Stockholm University has its own institutional login. Scroll down to 'Stockholm University' under 'Your Institutional' and log in with your university account information.

Figshare

Figshare is an open data repository used by researchers in numerous disciplines. Anyone can register themselves and publish data. Through an agreement with Figshare, Stockholm University offers researchers the opportunity to upload and publish their research data through a dedicated university portal where specialists can assist users and create subgroups. Figshare is financed by Digital Science, a firm based in the UK. Stockholm University has a contract with them until the end of 2019. The agreement allows for storage of research data attached to the university.

Metadata standards

Mandatory metadata: title, author, subject category, keywords and description. It is also possible to customize metadata to a certain extent, but this feature is still under development. A 'References' field allows users to link to published articles which cite the data set.

Conditions of Use

Data uploaded via Stockholm University's Figshare portal is protected by agreement, and the information belongs to the university. Individual users automatically receive 5 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. Files which have been uploaded and published cannot be deleted or altered, although the entry’s metadata can be edited even after publishing. The platform supports versioning of datasets in case the files need to be updated.

The research data uploaded to Figshare is checked by a team of specialists before the information is published in the platform. Questions about this process may be sent to opendata@su.se.

Functions

Data which is under embargo, or cannot be shared for some other reason, can be uploaded and receive a DOI without making the files accessible. It is also possible to establish private links to enable collaboration prior to publishing. Uploading data to Figshare places the data within Amazon's EU cloud servers.

Login

Employees of Stockholm University can log into the system directly using their university account. Users who connect from outside SU's network can log in through su.figshare.com using their SU ID.

Related links:

SU's Figshare Portal
Figshare User Instruction

The Swedish National Data Service (SND)

On 1 January 2018, Stockholm University and several other universities in Sweden formed a consortium with SND to build a national research data repository. SND has a guide (in Swedish) for data management where users can receive support for how data can be managed during the entire research process. A web form for describing and depositing research data can be found on SND's homepage.

Metadata standards

More than 15 mandatory elements: Data accessibility level, Principal, Responsible department/unit, Creator/Principal investigator, Contact for data, Data include personal data? (yes/no), Other protected information? (yes/no), Title of study (Swedish and English), Description (Swedish and English), Language,  Topics, Keywords, Title of dataset (Swedish and English), Data format / data structure.

Metadata entered into the form is visible afterwards in SND's catalogue. Entered data is made accessible according to the desired level of accessibility, which can range from 'freely accessed' to 'metadata only'.

Conditions of Use

The max file size for uploaded files is 15 MB with no upper limit on the number of files. Larger files and expansive data sets can be uploaded via SFTP or through delivery from one's own server. Uploaded data receives a permanent DOI link, which makes it easy to cite and share.

Functions

SND stores data on servers in Sweden and can thereby maintain compliance with the General Data Protection Regulation (GDPR) which came into force throughout the EU on 25 May 2018. At present SND cannot accept data which includes personal details from institutions other than the University of Gothenburg. Other institutions must remove identifying information before uploading their data. Alternatively, it is possible to describe the research material without submitting the actual data (data deposition FAQ - in Swedish). This means publishing only metadata according to accessibility level 3a/b.

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SND requires no specific registration of a user account for uploading data sets. Instead, to upload data one is required to fill out a web form including name and e-mail of depositor, and thereby a written agreement is established between SND and the research principal.

Zenodo

Zenodo is a European platform for uploading and publishing research data openly. It can be used by researchers at Stockholm University. Zenodo has its roots at CERN in Switzerland and employs the same cloud storage infrastructure as CERN.

Metadata standards

Mandatory metadata: publication date, title, author, accessibility level, license (SU recommends a Creative Commons license if possible). It is also possible for users to add metadata appropriate to the data being uploaded and published.

Conditions of Use

Allotment of DOIs happens in the same way as in Dataverse, Figshare and SND. The maximum storage space per entry or dataset is 50 GB. Files which have been uploaded and published cannot be deleted or altered, but metadata can be edited even after publication. Further conditions can be found here.

Functions

As within Harvard Dataverse, Stockholm University Library has a subcategory (or 'community') within Zenodo. Users who create an account with Zenodo can upload datasets to this community. Zenodo also offers automatic reporting to the EU's OpenAIRE project for research financing.

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Users create individual accounts in Zenodo. Accounts can be connected to, or verified by ORCiD or GitHub.

Related links:

Zenodo suppor

Overviews of platforms for open research data

Other overviews collected by organizations outside of the university are available:

  • Open Access Directory has produced a list of databases for research data sorted by research discipline
  • Re3data is a search engine which plots research data repositories around the world. It is operated by DataCite. Re3data lists general, specific and institutional research data platforms, and it includes good tools for filtering search results to allow users to locate suitable matches. It also provides a good overview of the various types of standards for open research data which are now being produced.
  • The team behind Dataverse has made an assessment of eight platforms in which they compare their own platform against alternatives
  • Scientific Data’s recommended repository list is a resource for anyone who publishes their work with one of the numerous journals published by the Springer Nature publishing group. Here one can find a list of discipline-specific and general platforms compatible with Springer Nature’s guidelines for good research data management.