Data collection and use in research funding and performing organisations. General outlines and first results of a project launched by Science Europe

Wolfgang Glänzel (), Raphael Beck, Katrin Milzow, Stig Slipersæter, Gábor Tóth, Michał Kołodziejski and Pei-Shan Chi
Additional contact information
Wolfgang Glänzel: KU Leuven
Raphael Beck: Fund for Scientific Research (F.R.S.-FNRS)
Katrin Milzow: Swiss National Science Foundation (SNSF)
Stig Slipersæter: Research Council of Norway (RCN)
Gábor Tóth: Hungarian Scientific Research Fund (OTKA)
Michał Kołodziejski: National Science Centre (NCN)
Pei-Shan Chi: KU Leuven

Scientometrics, 2016, vol. 106, issue 2, No 20, 825-835

Abstract: Abstract A work strand planned by the Science Europe Working Group on Research Policy and Programme Evaluation aims at mapping the state of affairs in data collection and their use at European funding and research organisations. In particular, the project identifies and proposes solutions for issues experienced by the Member Organisations (MO) regarding collection, standardisation and treatment of data related to the analysis and ex-post evaluation of activities funded or performed by MOs. This is implemented through a survey sent to the MOs. The survey was analysed with special attention to the particular needs of funding and performing organisations. On the basis of the results and the discussion among the work strand members and within the WG, we draw a preliminary set of conclusions to produce guidance on relevant topics, including researcher and funding identification, potential, properties and limitations of data and indicators that are used in the context of measurement of research output and its assessment, classification systems used in sciences systems including their various types and issues of availability, confidentiality and harmonisation of data and indicators. Feedback from such discussions will be used to identify areas for further action by Science Europe.

Keywords: Data collection; Data standardisation; Researcher identification; Classification system (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11192-015-1815-z

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