Use cases and benefits of persistent identifiers for dataset elements to foster reliable data citation
28.03.2023, 16:15 - 17:45
Leitung der Session:
Dr. Claus-Peter Klas
Teamleiter „Data & Service Engineering“ und Measure Lead KonsortSWD in der Abteilung Knowledge Technologies for the Social Sciences, GESIS – Leibniz-Institut für Sozialwissenschaften
- Dr. Janete Saldanha Bach
Postdoc KonsortSWD in der Abteilung Knowledge Technologies for the Social Sciences, GESIS – Leibniz-Institut für Sozialwissenschaften
The session discusses current data citation hurdles in the Social Sciences and a technical solution provided by KonsortSWD which aims at making findability and accessibility on the level of dataset elements, such as survey variables, more efficient. Researchers often use just a subset of variables of a study. Thus, assigning a persistent identifier (PID) to a whole dataset, currently the common practice in the Social Sciences, is insufficient to unambiguously identify the dataset elements used. This is where KonsortSWD’s PID service comes in as it introduces PIDs on the level of dataset elements to boost reliable data citation and reuse, and finally advanced FAIR data management. The session addresses the advantages and benefits of assigning PIDs to dataset elements through use cases showing how researchers can effortlessly find and cite data. Data providers can also directly benefit from a more fine-grained PID approach, as it improves citation tracking and data visibility.