Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Bach, Janete Saldanha"'
Autor:
Bach, Janete Saldanha1 janete.saldanhabach@gesis.org, Klas, Claus-Peter2
Publikováno v:
IASSIST Quarterly. 2024, Vol. 48 Issue 2, p1-15. 16p.
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3171e1711803b04bfd30be88ed36aafb
Autor:
Bach, Janete Saldanha, Mathiak, Brigitte, Zhang, Yudong, Zenk-Möltgen, Wolfgang, Netscher, Sebastian, Mutschke, Peter
In this report, we present our analysis of the FAIRness of GESIS as seen from the perspective of FAIRness assessment models and tools, such as the F-UJI tool, which was recently used in the European Research Data Landscape report[i]. In summary, GESI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3639481b91e51e52f88e0ac663fead52
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e914bc35cdae8805eeb86419040511
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9681bd2ce1a64612117da293cdb2ef3b
The Consortium for the Social, Behavioral, Educational, and Economic Sciences (KonsortSWD) TA5 measure 2 "Enhancing data findability" promotes its workshop on data findability improvement strategy recommendations for research data repositories (RDCs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8be08eb0a6fd6bbb309a338ab1776e52
The persistent identifiers (PIDs) assigned to the level of attributes, i.e., a variable in Social Science research data, can unambiguously cite and direct retrieve data. Variables change through the studies' timeline and promote cross-linking through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4862678c3d8d32732799329b1c1a76d6
This report extends the use case descriptions and provides recommendations for assigning Persistent Identifiers (PIDs) below the study level, i.e., here, as a first approach, a variable within a dataset. The recommendations rely on use case partners'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b65019ce9c9d51ca8aa3b7d4e8025f0
NFDI4 PID Working Group promoted a workshop on PIDs within the NFDI community. This presentation demonstrates the service's use cases. Survey variables (KonsortSWD TA5.M1 Enhancing PID services as a base for a FAIR data infrastructure) Context: Socia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::225f2d826154f09aeab21fca5d84723b
In many scientific disciplines, Persistent Identifiers (PIDs) are commonly available only at the study or dataset level but not at the level of the inline data objects that are usually used by researchers, making it difficult to track and cite them.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd112965fad80fb3526ea1174de6a2de
https://repository.publisso.de/resource/frl:6444991
https://repository.publisso.de/resource/frl:6444991