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Manage research and environmental assessment data

Data Management Support assists researchers, doctoral students as well as Environmental monitoring and assessment staff in achieving good data management, from the planning of a project until data is archived and published.

Data life cycle

Data life cycle CC BY SLU Data Management Support. All icons in the life cycle and on the pages are made by Prosymbols from www.flaticon.com.

Collect, organise, and store data Process and analyse data Archive and preserve data Share and publish data Discover, reuse, and cite data Introduction to data management

Introduction to data management

“Good data management is not a goal in itself, but rather is the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse by the community after the data publication process.” (Wilkinson et al., Nature 2016)
Plan data management (Flaticon)

Plan data management

Make research more efficient, and create more value for data.
Samla, organisera, lagra data bild (Flaticon)

Collect, organise, and store data

Organise, documents and describe data systematically.
Process and analyse data (Flaticon)

Process and analyse data

Enable reproducibility, preservation and publishing of data.
Preserve data (Flaticon)

Archive and preserve data

Ensure access to public records, cultural heritage and research needs.
Publish and make data available (Flaticon)

Share and publish data

Publish data in a repository to ensure impact and visibility of research.
Find and reuse data (Flaticon)

Discover, reuse, and cite data

Find research data and read about issues to consider when re-using data.
News
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Recently published SLU data
See more published data

Publish data via the Swedish National Data Service

Publishing data through the Swedish National Data Service has many advantages.
Published: 13 September 2021 - Page editor: dms@slu.se
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