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SLU Data Management Guide

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.

Introduction to data management

What is research data management?

Circle with arrows representing different steps in the data management process. Illustration.

Plan data management

Make research more efficient, and create more value for data.

A light bulb, a cogwheel, and a cloud. Illustration.

Collect, organise, and store data

Organise, document and describe data systematically.

Round bottom flask, atom and DNA molecule. Illustration.

Process and analyse data

Enable reproducibility, preservation and publishing of data.

Computer screen and cog wheel. Illustration.

Archive and preserve data

Ensure access to public records, cultural heritage and research needs.

A server and a padlock. Illustration.

Share and publish data

Publish data in a repository to ensure impact and visibility of research.

Open cardboard box with arrows pointing up. Illustration.

Discover, reuse, and cite data

Find research data and read about issues to consider when re-using data.

Magnifying glass in front of a computer screen with bar graphs. Illustration.
Published: 12 December 2022 - Page editor: dms@slu.se