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Over the years, the social sciences have become increasingly data intensive. Hence, data repositories must facilitate the identification and location of data. Persistent identification is essential for sustainable and reliable resource discovery and reuse. The use of a persistent identifier (PID) supports data access, referencing data and data citation. However using PIDs pose complex technical and organizational challenges to data providers. This presentation discusses our paper on the use of PIDs within CESSDA ERIC (Consortium of European Social Science Data Archives European Infrastructure Research Consortium). CESSDA ERIC provides its communities with well documented, verifiable and understandable research data. This can be majorly supported by the assignment of PIDs, that are unique on a global scale. In order to find a common approach to the use of PIDs among CESSDA members, CESSDA started the PID project in 2015. For this project, GESIS conducted quantitative and qualitative surveys among CESSDA members, to assess their current status and their needs concerning PID usage. The results of these surveys lay the groundwork for the CESSDA ERIC Persistent Identifier Policy. Those surveys, their results as well as the resulting PID Policy shall be presented here.
PIDs, user survey, research infrastructures
PIDs, user survey, research infrastructures
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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