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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.

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 for: Riparian buffers mitigate downstream effects of...

    This dataset was used for the paper "Riparian buffers mitigate downstream effects of clear-cutting on instream metabolic rates". Data includes modelled whole stream oxygen data and modelled oxygen data from bottle incubations of biofilms, all modelled to gross primary production and respiration. This manuscript is part of a larger project which aims at evaluating how current forest management practices effect ecological functions of headwaters. This specific dataset was collected to answer if negative effects of clear-cutting on streams also propagate to downstream reaches.

  • Target Tailored Forest Damage Inventory (TFDI) - Damage by bark...

    Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely...

Published: 21 March 2025 - Page editor: dms@slu.se
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