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
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| 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
| Select the reseach data that need to be preserved
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| 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. |