Publish and share research data - an overview

KI strives for all research results and research data to be openly accessible and published accessibly on the  internet according to the FAIR principles.

According to the policy, if the data cannot be made freely available one should make metadata freely accessible and to give access to research data upon request after the request is approved.

All research data produced at KI must, according to Swedish law, be long-term and securely stored and preserved at KI. This is regardless of where or how you choose to publish or share them.

About storage and sharing of data at KI

Preservation and archiving of research data at KI 

FAIR stands for Findable, Accessible, Interoperable and Reusable. According to the FAIR principles research data have to be findable, there must be information on how to access them, they have to be compatible with other data, and they must be reusable. The FAIR principles play an important role in the work for Open Science and describe some of the most central guidelines for good data management and for Open Access to research data.

The FAIR principles

The Swedish Research Council on FAIR and Open Access to Research Data 

A large amount of research data at KI contains sensitive data with various forms of personal data. Not all such data can be shared openly, but they can be described, e.g. with metadata in an open data repository such as DORIS, which is offered via KI's Data Access Unit (DAU).
Personal data in research at KI
 

If your dataset does not contain information worthy of protection, it can be published openly available. Information worthy of protection is, for example, information relating to persons, company secrets and security-sensitive activities. There are both general and subject-specific repositories for data that can be made openly available.

If your dataset contains information worthy of protection, metadata can be published in the Swedish National Data Service's (SND) catalog and the data stored in KI Data Repository. This makes the description of the data set open, while access to the data set is restricted.

When your dataset is published in a data repository, it can be assigned a Persistent Identifier (PID). A PID is a unique and persistent reference that makes it possible to find and reuse digital material. A Digital Object Identifier (DOI) is a PID that is often used for research data and scientific articles. In the article publishing process, it is common that the publisher requests a DOI to underlying data. The DOI will be used to create a consistent link from the article to the research data the analysis is based on. To make sure the DOI works as a link, the DOI code needs to be preceded by https://doi.org/. Example: https://doi.org/10.5878/6fcv-1795.

In the database Registry of Research Data Repositories you could find information about if a data repository assigns published datasets with a persistent identifier and, if so, what type of identifier, e.g. DOI.
 

In parallel with the fact that many research funders have increased their requirements for openly shared and published research data, journal publishers also have offers and occasionally requirements for the publication of datasets. This is something you might get information about when uploading your manuscript for peer review.

When choosing a journal, it may therefore be wise to review in advance how you ought to publish or share your data related to the manuscript. And that the publishing method the publisher recommends also complies with the requirements and instructions from your research funder.

The recommendations of the research funders and the journal publishers.