Contact
Data Management Support (DMS)
dms@slu.se | www.slu.se/dms
All SLU staff can publish scientific data and data descriptions free of charge via the Swedish National Data Service.
The Swedish National Data Service (SND) hosts a national research data catalogue where researchers at Swedish universities can publish and describe data from their research projects. SLU is part of the consortium that runs SND.
Data Management Support (DMS) at the SLU University Library assists SLU staff with the publication process when submitting data to the research data catalogue.
Data are described and submitted through the SND system DORIS. Log in using your regular SLU AD-account.
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).
SLU's data management policy states that data from research and environmental monitoring and assessment should be made openly available with as few restrictions as possible. The policy also states that SLU supports the FAIR data sharing principles (i.e. data and data descriptions should be findable, accessible, interoperable and reusable). Publishing data via the SND research catalogue is a good way of making data openly available in a way that supports the FAIR principles.
Among the advantages in publishing via the SND catalogue are:
The Swedish National Data Service (SND) is a national infrastructure that supports the accessibility, preservation and re-use of research data. SLU is part of the consortium that runs SND and contributes to the infrastructure, e.g. through our two so-called domain specialists, who monitor the development of research data in the climate and environment domain and participate in the development of SND's services.
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.
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.
SND is a member of a range of international organisations, including EOSC Association, Research Data Alliance (RDA) and DataCite.
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.
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.
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
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.
Did you find this guide useful? Is there anything missing, or is there another aspect of data management you would like guidance on? Please let us know!
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Data Management Support (DMS)
dms@slu.se | www.slu.se/dms