Publishing data via Swedish National Data Service (SND)

The SND data catalogue facilitates making data open in a way that supports the FAIR principles – i.e. data and data descriptions being findable, accessible, interoperable and reusable. Among the advantages in publishing via the SND catalogue are:

• A DOI (Digital Object Identifiers) is provided for published data, so that it can be cited. DOIs can also be reserved if access to data is required by a journal during the review process.
• The data will be stored safely and securely under SLU custodianship.
• The level of data access can be adapted to requirements due to e.g. sensitive and personal data.
• The data will be searchable in the SND data catalogue, as well as in international databases, including Web of Science Data Citation Index.
• The catalogue meets most journals’ and funders’ requirements regarding data publication.
• When publishing a data set in SND, DMS, SLU’s support unit for data management, will help with data archiving.

Data are described and submitted through the SND system DORIS. Log in using your regular SLU AD-account.

• Go directly to DORIS

Before data is published in the SND catalogue, SLU Data Management Support (DMS) will check the data description for completeness and accuracy, to help make the data findable, accessible, interoperable and reusable (i.e. meet the FAIR principles).

• Information on how to prepare data before publishing can be found at SND’s website: Prepare the data for deposit.
• SND’s instructions for how to submit data to the research catalogue: Share Data: Step by Step

Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data.

The SND consortium

SND is governed by a consortium of nine universities, including SLU. The infrastructure is funded primarily by the Swedish research council (VR) and the consortium members.

• The SND Consortium

The SND network

DMS is also a member of the SND network – a national network of research data support functions within SND, so called Data Access Units. Approximately 40 higher learning institutions and public research institutes collaborate in the SND network, to create a distributed national infrastructure for open access to research data.

• More information at SND’s website: The SND Network

International Collaborations

SND is a member of a range of international organisations, including EOSC Association, Research Data Alliance (RDA) and DataCite.

• More information at SND’s website: International Collaborations

Domain specialists

The consortium universities also contribute with expertise through so-called domain specialists, with experience and knowledge from different research fields and research data management. SLU contributes expertise in climate- and environmental data.

The SND domain specialists, together with the SND office research data advisors, can be consulted regarding discipline specific data management questions.

• SND research data advisors and domain specialists.

SLU domain specialists

SLU currently has two domain specialists, Ida Taberman and Ylva Toljander, who monitor the research data development in the climate and environmental domain and partake in the development of SND´s services. The domain specialists provide advice on domain specific matters and are involved in information and education initiatives. They also participate in national and international collaborations, and work towards an increased understanding, use, and publication of open research data.  

Ida Taberman

Works with data management and data quality. Background in environmental databases and coordination of terrestrial and limnological field research infrastructures. 

Email: ida.taberman@slu.se

Ylva Toljander

Biologist and information specialist. Works with research support, including research data management. Background in the fields of microbial ecology and biodiversity research, as well as in publication of meteorological and oceanographical monitoring data.

Email: ylva.toljander@slu.se

When someone from SLU submitts data to SND, the metadata will be reviewed by Data Management Support (DMS), SLU's support function for data management.

DMS can also assist before the data submission, e.g. by givining advice on how to prepare data prior to publishing.

• Read more about the support DMS offers
• Contact DMS
• Book a data date