Research data management at DTU

Research data is the data generated during a research project that supports its results. These data vary widely in type and format and may include sensitive or confidential information requiring special handling. At DTU, Research Data Management (RDM) refers to the planning, collection, documentation, storage, sharing, publication, and preservation of research data throughout the entire research project life cycle.

Design & Plan

Effective planning is the foundation of good research data management (RDM). Find info on requirements, Data management plans (DMP) and classification of data.

Conduct & Analyse

Good documentation and metadata ensures your data can be understood, validated, reused and reproduced. Find info on metadata, standard, version control and other tools to utilize in your research.

Publish & Share

Publishing your research data is a key part of responsible and transparent research. Find info on FAIR data, repositories, licensing and preservation.

DTU's Open Science Guide

The Open Science Guide takes you through the research life cycle and provides information on handling research data and open science practices, to future-proof your research outputs.

Open Science Guide

Research data support at DTU Library

The DTU Library offer guidance and training on topics such as:

Data management plans (DMPs)
FAIR data principles
Data publication and code
Funder and institutional requirements