Publish data

Last changed: 08 November 2019
Json-kod

Open access to research data provides increased transparency and reliability for scientific studies. It also makes it possible to find and reuse data in future projects.

In order for published data to be comprehensible and reusable for others, they must be managed and documented in a structured and standardized manner. Read more about how to manage and archive data from your research, as part of the research process. 

Open research data is discussed by different stakeholders, nationally, within the EU and globally

  • In Sweden, the Swedish Research Council has been assigned by the Government to coordinate the national effort of implementing open access to research data.
  • The Swedish Research Council Formas promotes the accessibility and use of scientific data. This can be by making (meta)data available from research projects funded by Formas in existing national or international databases, as long as this does not contravene national legislation concerning personal data.
  • Projects granted funds from the EU Framework Programme Horizon 2020 must, since 2017, create a data management plan, which presumes that publications and research data are published openly.
  • Often, scientific journals recommend or require that underlying data for articles be deposited in open data repositories. 

There are many reasons to publish research data

  • Impact: it can create more opportunities for impact through citations and data downloads, thus giving researchers recognition for research outputs other than just articles.
  • Increased collaboration and reduced duplication of effort: data becomes more visible and make other researchers aware of your research. This can lead to new collaboration opportunities between research groups, nationally and internationally.
  • Research integrity: the possibility of verifying research results increases.
  • Democracy and transparency: it is important that publicly funded research results are made open to the public as much as possible.

Where can I publish data?

In the longer term, the goal is for SLU to offer a central solution for archiving and publishing research data. Until then, there is a variety of external data repositories to use for publication. Keep in mind, that even though research data are published in a repository elsewhere, the data must still be archived at SLU.

In order for the published datasets to be cited, it is good practice to choose a repository that provides persistent identifiers, such as DOI (digital object identifier). Remember, when publishing data, to include your affiliation at the Swedish University of Agricultural Sciences in the description (metadata) of the dataset.

Many journals and publishers offer advice on possible repositories for data when they require or recommend data publishing. Often, the journal specifies certain repositories for particular subject areas and data types or refers to general ones.

The SND Research Data Catalogue and Repository

We primarily recommend using the Swedish National Data Service (SND) for publication of research data from SLU. SND meets the repository requirements of most journals when it comes to publication of underlying data. If SND is not on the list of approved repositories for the journal you have selected, it is usually possible to contact the publisher and ask them to consider adding SND to their list.

Research data from any subject area can be described and published via a submission form on the SND website. For certain research areas there are customized data profiles available: Earth and Environmental sciences, Language Resources, Social Science, Medical and Health Sciences, as well as Archaeology and History.

Datasets published via SND are provided with DOI persistent identifiers, in order to facilitate the discovery and citation of the data. The SND data repository is Core Trust Seal certified and data descriptions in the catalogue are based on the DDI standard. Published data descriptions are globally discoverable through the SND national research data catalogue, as well as through other services such as DataCite and Web of Science.

Data descriptions submitted to SND by researchers at SLU, undergo quality review by the Data Curation Unit (DCU) at SLU prior to publication. This is done in communication with you as a researcher to ensure that the descriptions are as complete and as FAIR (Findable, Accessible, Interoperable, and Reusable) as possible.

Datasets described in the research data catalogue can either be made freely available for download or accessible upon request. Before submitting data to the repository you must first review and accept a deposit agreement. Note, that the SND repository will not accept datasets containing any personal or sensitive information.

Journals and publishers where SLU authors frequently publish that require publication of the article's underlying data

Journals and publishers where SLU authors frequently publish that recommend publication of the article's underlying data

Search services for finding data repositories