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Introduction

& Maggie Hellström with help from go betweens and others

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The survey found a large diversity between RIs regarding their practices. Most are applying file-based storage for their data, rather than data base technologies, which suggests that it should be relatively straightforward to assign PIDs to a majority of the RI data objects. A profound gap in knowledge about what persistent and unique identifiers are, what they can be used for, and best practices regarding their use, emerged. Most identifier systems used are based on handles (DOIs from DataCite most common, followed by ePIC PIDs), but some RIs rely on formalized file names. While a majority see a strong need for assigning PIDs to their “finalized” data (individual files and/or databases), few apply this to raw data, and even fewer to intermediate data - indicating PIDs are not used in workflow administration. Also, metadata objects are seldom assigned PIDs. Costs for maintaining PIDs are typically not treated explicitly.

Citation

NOTE: RIs were asked to characterize their “designated user community” needs, but most responded with RI-centric requirements.

Currently, users refer to data sets in publications using DOIs if available, and else provide information about producer, year, report number etc. either in the article text or in the References section. A majority of RIs feel it is absolutely necessary to allow unambiguous references to be made to subsets of datasets, preferably in the citation, while few find the ability to create and later cite collections of individual datasets is important. Ensuring that credit for producing (and to a lesser extent curating) scientific data sets is “properly assigned” is a common theme for all RIs - not the least because funding agencies and other stakeholders require such performance indicators, but also because individual PIs want and need recognition of their work. Connected to this, most RIs have strategies for collecting usage statistics for their data products, i.e. through bibliometric searches (quasi-automated or manual) of from scientific literature, but thus often rely on publishers indexing also data object DOIs.

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The following RIs contributed to developing identification and citation requirements

ACTRIS: <e.g., This RI ... and therefore has XYZ <Topic> requirements, with a particular empahsis on ...>

AnaEE:

EISCAT-3D:ELIXIR:

EMBRC:

EMSO:

EPOS:

Euro-ARGO:

EUROFLEETS2:

ESONET:

EUROGOOS:FIXO3:

IAGOS:

ICOS:

INTERACT:

IS-ENES2:

JERICO:

LTER:

SEADATANETSeaDataNet:

SIOS: