Archiving package:

Archiving research data:

Confidential data:

Data asset

Directly identifying data (a.k.a direct identifiers):

NB: There isn’t really a perfect delineation between direct and indirect identifiers, but, rather, more of a sliding scale. Something may be a direct identifier because of it’s uniqueness (e.g. a unique tattoo) or based on context (e.g. the current Prime Minister of the Netherlands). It is important to be aware of any of these less commonly considered direct identifiers when you are working on de-identifying your data.

FAIR principles:

Indirectly identifiable data (a.k.a indirect identifiers):

Interoperable (meta)data:

Key file:

Logbook/laboratory notebook:

Metadata:

Personal data:

NB: Personal data do not necessarily need to be considered “sensitive” data to receive protection under the GDPR. If your data are considered personal, based on the definition above, they must be handled in accordance with the GPDR, regardless of whether or not you consider the data sensitive.

NB2: Almost all data about human subjects are considered personal data under the GDPR. The vast majority of the data collected at FGB are about human beings and should therefore be treated as personal data unless you have confirmed with an expert that the data are anonymous. This reference card on anonymity from the National Coordination Point for RDM further explains this concept.

Processed data:

Pseudonymous data:

Publishing research data:

NB: Even if access to research data is restricted, the metadata and documentation about a research project should be published openly, as long as there is no confidential or privacy-sensitive information present in these materials. Doing so helps to make data findable, informs others about how data can be accessed, and promotes data as a form of research output for which researchers can receive recognition.

Raw data:

Research project: