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Data Management Support

SLU Data Management Support (DMS) assists SLU employees with data management - from planning, including data management plans, to publishing, long-term preservation, archiving and the reuse of research and environmental assessment data.

Data management support at SLU Contact Policy for data management Book a data date

SLU Data Management Guides

Here you will find resources to help you plan your data management, write a data management plan, publish data, find already published data and much more.

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Data from environmental monitoring and assessment

Read more about SLU's systematic approach to data management in environmental monitoring and assessment and the support available.

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How to publish data via SND

All SLU staff can publish scientific data and data descriptions free of charge via the Swedish National Data Service (SND). Read our guide to find out how!

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Recently published SLU data

SLU data in SND's research data catalogue, curated by DMS. All SLU data in SND's research data catalogue

  • Data from: Lactic acid bacteria in Swedish honeybees during...

    In this study DNA extracted from honeybees was analysed using qPCR for the presence and quantity of different honeybee-specific lactic acid bacteria. The aim was to investigate if presence of the disease American foulbrood in the beehive or in the apiary affects honeybees composition of lactic acid bacteria. In the data file "Sample_info" background information for the individual samples is found, the data file contains 7 columns and 42 rows. In the data file "Data_LAB_AFB_in_Sweden" Cq...

  • Modelling best management practices for reducing nutrient losses...

    This dataset contains all the geospatial information and HYPE inputs and outputs related to the publication of "How to achieve a 50% reduction in nutrient losses from agricultural catchments under different climate trajectories?". In this study, we build high-resolution geospatial data to build a semi-distributed water quantity and water quality model for two Swedish Agricultural Catchments in Hydrological Predictions of the Environment (HYPE). We calibrated and validated the model using...

Published: 08 March 2024 - Page editor: dms@slu.se
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