RI:TRAIN Plus Quantitative Survey 2021 (OA edition)

Version 1.0
Prandner, Dimitri; Sinner, Philip; Soran, Nikolai, 2025, "RI:TRAIN Plus Quantitative Survey 2021 (OA edition)", https://doi.org/10.11587/QPZME2, AUSSDA, V1, UNF:6:Hug6oaR1PfZ4/Tvzpk1b5A== [fileUNF]
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Description
Reduced open access edition. Research Infrastructures (RIs) and their services are an essential element in creating the potential for scientific progress in the European Union, but also beyond. Together with Core Facilities (CFs) - which exist in many universities and scientific research centers - RIs are a basic prerequisite for excellence in science, for the establishment of Open Science as well as Open Innovation strategies and an important factor for the development of initiatives, practices, common facilities, guidelines and standards. This requires highly skilled personnel. But what competencies and skills are now needed in detail to run RIs and CFs? What challenges must be overcome in the process? AUSSDA researchers are addressing these questions as part of the RI:TRAIN plus project in the form of an online survey (2021).
Keyword Training, Social Sciences, European Union, Scientific personnel, Science
Notes The following individuals contributed to the dataset:
Margherita Carpani (UNIBO, Administrative Support)
Monica Forni (UNIBO, Administrative Support)
Julia Fernandez-Rodriguez (Sahlgrenska Academy, Contributor)
Lola Martinez (CNIO, Contributor)
Valentina Adami (UNITN, Contributor)
Antonino Rotolo (UNIBO, Contributor)
Augusta Zannoni (UNIBO, Contributor)
Christina Huertas (LifeWatch, Contributor)
Concha Gil (Complutense University of Madrid, Contributor)
Evi-Carita Riikonen (ICOS, Contributor)
Gabriella Tedeschi (UNIMI, Contributor)
Giuseppe Magnifico (CNR, Contributor)
Linea Meldahl (ECCSEL, Contributor)
Lorenza Evangelista (CNR, Contributor)
Lorenzo Zirulia (UNIBO, Contributor)
Luisa Cortes (ISS, Contributor)
Maddalena Donzelli (UNIMI, Contributor)
Maria Luisa Lavitrano (UNIMIB, Contributor)
Marko Peura (University of Helsinki, Contributor)
Marta Lloret Llinares (EMBL-EBI, Contributor)
Natalie Homer (University of Edinburgh, Contributor)
Niamh Flavin (Eurofleets+, Contributor)
Paolo Cherubini (UNIMIB, Contributor)
Radosław Rybkowski (Jagiellonian University, Contributor)
Sverre Quale (NTNU, Contributor)
Valentina Volpi (OGS, Contributor)
Volker Röhling (NTNU, Contributor)

The following CESSDA members provided input:
Ivana Ilijasic Versic (CESSDA, Input on research instruments)
Martina Drascic Capar (CESSDA, Input on research instruments)
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10855_da_en_v1_0.tab
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Published May 15, 2025
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144 Variables, 330 Observations UNF:6:ghP80nxEWtWWrAKR/KSHlQ==
Core data file - STATA format - 144 Variables, 330 Observations
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10855_da_en_v1_0.zip
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Published May 15, 2025
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MD5: 2189d62212cb39ae4560c2976dad2778
Core data file - compressed CSV format - 144 Variables, 330 Observations
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10855_da_en_v1_0.zsav
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Published May 15, 2025
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MD5: 3d4b4e425ad702a3136f549853d65134
Core data file - compressed SPSS format - 144 Variables, 330 Observations
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10855_co_en_v1_0.pdf
documentation/Adobe PDF - 511.1 KB
Published May 15, 2025
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MD5: cce626ace77f62c909a8888495708172
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10855_mr_en_v1_0.pdf
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MD5: 4c36ee93aec2810ea7773f82340e64f9
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10855_readme.pdf
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Published May 15, 2025
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MD5: 4eb5863a89b496ea461c55e23af7f859
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10855_vi_en_v1_0.tab
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3 Variables, 806 Observations UNF:6:4U8iuIFGbUW9FF2btiHDkA==
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