The structured management of research data and related materials throughout their lifecycle, from collection and processing to storage, publication, and sharing.
It helps ensure that research data is findable,organized, documented, secure, and as open as possible.
Why good Research Data Management matters?
Minimize the risk of future complications: Starting a project with a good data management plan reduces the risk of problems later on.
Spend less time looking for files: Good data and project organization allow you to quickly find the data you need.
Collaborate more easily: Clear organization and documentation help other understand the project, data, and related materials.
Prevent data loss and unauthorized disclosure: Use appropriate storage to keep your data safe and meet information security expectations from Aarhus University, funders, and external partners.
Be ready for funding applications: A clear Data Management Plan and visible open science contributions can help you meet funder requirements.
Make publication and reuse easier: Plan for data publication from the beginning, and keep data and related materials organized and documented so that journal and repository requirements are easier to meet.
Short-term data management helps you make your research processes and work procedures more sustainable and efficient.
Long-term data management helps ensure your research is understandable and reusable.