Persistent identifiers for social science survey variables: an infrastructure developed to foster open science
| Autor: | Bach, Janete Saldanha, Klas, Claus-Peter, Mutschke, Peter |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| DOI: | 10.5281/zenodo.8085182 |
| Popis: | The presentation highlights data citation challenges in Social Sciences and the solution by KonsortSWD to enhance the findability and accessibility of dataset elements like survey variables. Often, researchers use a subset of variables contained in a dataset, making the common practice of assigning a persistent identifier (PID) to an entire dataset insufficient. Despite citations of reused data, current citation practices lack standards, provide inadequate metadata and documentation, or refer to inaccessible datasets. We introduce a registration service assigning PIDs to dataset elements, enabling reliable citation and reuse, developed in the framework of the NFDI consortium KonsortSWD. PIDs, on a more granular level, are central to the FAIR principles, advancing FAIR data management, credibility and reusability. The talk underscores the benefits of assigning PIDs to dataset elements. Being machine-actionable, PIDs aid in adhering to FAIR principles by increasing research traceability, enabling citation tracking, and promoting digital connections among researchers and research outputs. We present four use cases demonstrating how partners make data citation easier. The presentation concludes with recommendations for future functionalities, such as automated access to variables and visualizing their relationships as an open research knowledge graph. Our service expands the DOI registration agency for social and economic data, da|ra[1], utilizing the ePic[2] API, supported by a set of compliant metadata schema. The service was evaluated using the RDA FAIR Data Maturity Model[3] framework, showing high compliance levels. Participants will learn the benefits of assigning PIDs below the study level, enhancing citation transparency and Fairness of data. [1] https://www.da-ra.de/ [2] https://www.pidconsortium.net/?page_id=112 [3] doi: 10.15497/rda00050 The service is part of the KonsortSWD project deliverable, NFDI funding number 442494171. |
| Databáze: | OpenAIRE |
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