Other Open Access

Data Citation of Evolving Data: Recommendations of the Working Group on Data Citation (WGDC)

Rauber, Andreas; Asmi, Ari; van Uytvanck, Dieter; Proell, Stefan

The WGDC recommendations enable researchers and data centers to identify and cite data used in experiments and studies. Instead of providing static data exports or textual descriptions of data subsets, we support a dynamic, query centric view of data sets. The proposed solution enables precise identification of the very subset and version of data used, supporting reproducibility of processes, sharing and reuse of data. The goal of the WG were to create identification mechanisms that (a) allow us to identify and cite arbitrary views of data, from a single record to an entire data set in a precise, machine-actionable manner; (b) allow us to cite and retrieve that data as it existed at a certain point in time, whether the database is static or highly dynamic; and (c) is stable across different technologies and technological changes. The WG recommends solving this challenge by (1) ensuring that data is stored in a versioned and timestamped manner and (2) identifying data sets by storing and assigning persistent identifiers (PIDs) to timestamped queries that can be re-executed against the timestamped data store.

Files (473.4 kB)
Name Size
datacitation.pdf
md5:043f9e8e5342fc815034fbf3d6b44f31
463.2 kB Download
DataCitation_maintenance.pdf
md5:d7aa9da0cdbd36da58f0734dd66307a8
10.2 kB Download
356
314
views
downloads
Views 356
Downloads 314
Data volume 46.2 MB
Unique views 329
Unique downloads 203

Share

Cite as