RDM Guides

GUIDES FOR RESEARCH DATA MANAGEMENT AT VRIJE UNIVERSITEIT AMSTERDAM

RDM policy Vrije Universiteit
Vrije Universiteit Amsterdam is strongly committed to good Research Data Management (RDM). The FAIR principles, that is, making research data Findable, Accessible, Interoperable and Reusable (see FORCE11’s website for an explanation of the ‘FAIR data principles’ and the paper by Wilkinson et al. (2016; doi:10.1038/sdata.2016.18) for a more elaborate description), are part of the foundation of the RDM policy of the VU.

VU’s RDM policy sets out the general guidelines on careful handling of research data for the entire university. In addition to this central policy, the faculties have their own faculty implementation that complies with the central policy and addresses the methods and procedures common for the disciplines in the faculty.

LibGuide Research Data Management at Vrije Universiteit
In the LibGuide Research Data Management you can find practical advice for the steps you should take before, during and after your research project, so that you will be able to manage your research data accurately. This advice is based on the RDM policies of VU and Amsterdam UMC, location VUmc.

The overview below presents the topics covered by the RDM LibGuide. In this overview you find direct links to these extensive information pages.

For good RDM, please follow the steps below in the various stages of your research project.

Before you start your research
During your research
After your research
Examine the requirements for RDM
that your research project needs to meet

Check which requirements for RDM have been formulated
by the VU, your faculty, consortium partners and your
funding agency before submitting your research prososal.

Arrange a safe and accessible storage location
for your research data

Choose a solution with a sufficiently high security level,
take care of back-ups, set up correct access rights and a
logical file structure and establish a good strategy for version
control and file naming. See sections in LibGuide:
Data Storage and Data Storage & Protection.

Select the reseach data that need to be preserved

Determine which data are worthwile to be preserved for the
long term and which data can or must be destroyed.


Set up a Data Management Plan
Take care of informed consent

If you are working with personal data, take care of informed
consent from your participants. If you are planning to share your
data with others after your research project, please make sure
this is covered in the informed consent.
Prepare your dataset package

Prepare your data files in such a way that they become suitable
for archiving as a dataset.
Determine the sensitivity of your data

Assess whether the data you will collect relate to privacy
issues, ethical issues, state secrets or commercial secrets.
Search for and reuse existing data



Describe your dataset

Make sure that your dataset is interpretable for others and for
your future self.
Complete a Data Protection Impact Assessment  (DPIA)




Take care of  safe transportation of digital and physical data

Describe which occasions of data transfer will take place and
which measures are necessary for safe transportation and
destruction of traces.



Assign terms and conditions for access and reuse

Indicate under which legal conditions someone may get access to
your data and for which purposes they may be used.






Register research with personal data in VU's record of
of processing activities

Document how you process your data

Use existing resources and structures/standards to describe how
you process your data.
Deposit or publish your data

Decide where your data will be deposited under your conditions
for accessability and citation of the dataset.
Estimate the costs for Research Data Management

Check which options exist for storing and archiving your data
during and after your research project. Estimate your costs based
on this information and include this budget in your project proposal.
Update your Data Management Plan

Evaluate your Data Management Plan during your research project
and adjust the document based on new insights.
Register your dataset in VU Research Portal  (PURE)

Enhance the findability of your research output and contribute to the
overview of datasets generated in your department. You can do so by
registering your deposited or published dataset in PURE. Also have a
look at the information about data citation.