RI:TRAIN Plus Quantitative Survey 2021 (OA edition)

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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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	10855_da_en_v1_0.tab data/Tabular Data - 161.5 KB Published May 15, 2025 1 Download 144 Variables, 330 Observations UNF:6:ghP80nxEWtWWrAKR/KSHlQ== Core data file - STATA format - 144 Variables, 330 Observations DataSTATA	Access File File Access Public Download Options Stata 14 Binary (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
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Citation Metadata

Persistent Identifier	doi:10.11587/QPZME2
Publication Date	2025-05-15
Title	RI:TRAIN Plus Quantitative Survey 2021 (OA edition)
Alternative Title	RI:TRAIN Plus Quantitativer Survey 2021
Author	Prandner, Dimitri (University of Linz) - ORCID: 0000-0002-8783-1848 - ROR: 052r2xn60 Sinner, Philip (University of Bremen) - ORCID: 0000-0001-8273-1664 - ROR: 04ers2y35 Soran, Nikolai (University of Linz) - ROR: 052r2xn60
Point of Contact	Use email button above to contact. AUSSDA (The Austrian Social Science Data Archive)
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).
Subject	Social Sciences
Keyword	Training (ELSST) https://elsst.cessda.eu/id Social Sciences (ELSST) https://elsst.cessda.eu/id European Union (ELSST) https://elsst.cessda.eu/id Scientific personnel (ELSST) https://elsst.cessda.eu/id Science (ELSST) https://elsst.cessda.eu/id/
Topic Classification	Information society (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Higher and further education (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Employee training (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification
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)
Language	English
Funding Information	EU H2020 programme: 101008503
Distributor	The Austrian Social Science Data Archive
Depositor	Prandner, Dimitri
Date of Collection	Start Date: 2021-11-17 ; End Date: 2021-12-24
Data Type	Numeric
Related Dataset	Prandner, Dimitri; Sinner, Philip; Soran, Nikolai, 2022, "RI:TRAIN Plus Quantitative Survey 2021 (SUF edition)", https://doi.org/10.11587/RBXAZ7, AUSSDA.
Data Source	Population group

Geospatial Metadata

Geographic Coverage	Austria, Europe (European Union + H2020 Partners)

Social Science and Humanities Metadata

Unit of Analysis	Individual
Universe	Employees of European research infrastructure and core facilities
Time Method	Cross-section
Sampling Procedure	Non-probability
Collection Mode	Self-administered questionnaire: Web-based (CAWI)
Type of Research Instrument	Structured questionnaire

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RI:TRAIN Plus Quantitative Survey 2021 von Prandner, Dimitri; Sinner, Philip; Soran, Nikolai ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz.

Mit dem Zugriff auf die Datei(en) erklären Sie sich mit den AUSSDA Nutzungsbedingungen und der Datenschutzerklärung einverstanden.

RI:TRAIN Plus Quantitative Survey 2021 by Prandner, Dimitri; Sinner, Philip; Soran, Nikolai is licensed under a Creative Commons Attribution 4.0 International License.

By accessing the file(s) you agree to the AUSSDA Terms of Service and Privacy Policy.

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