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Research Data Management

When you are doing research, good data management practices and transparency are essential. This toolbox provides practical information and guidelines for both PhD students and researchers when working with research data.

Data archiving: mid- or long-term?

In the Data Management Plan the researcher describes if the data will be stored for the mid or the long term.
 
Mid-term archive: according to the VU RDM Policy, all publication-related data should be archived for at least ten years for verification and replication of research. For this purpose, Vrije Universiteit Amsterdam offers researchers three options to store their data in one of the organisational repositories (DataverseNL, ArchStor or DarkStor). Other archival options may be used depending on the field of science as described in faculty data management policy documents.
 
Long-term archive: data relevant for future research should be archived for the long term. A dataset is relevant for future research when it complies with at least one of the following general criteria:
 
1. The data has a scientific or historical value
2. The data is unique
3. Others may want to reuse the data
4. The data cannot be reproduced
 
Researchers should bear in mind that when VU university archiving options are used, any costs involved in mid-term or long-term storage are covered by either the university or any other national or international archive that faculty policy prescribes they should use. Whatever archiving option is used, proper descriptions of the dataset(s) and adding metadata are important.