Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community

Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community

This article deals with the impact of external R&D evaluations as one of the institutional factors that can encourage (or discourage) the progress of the social sciences. A critical overview is presented of the increasing use of bibliometric indicators in the external R&D evaluation...

Full description

Bibliographic Details
Main Author: Franc Mali
Format: Article
Language:English
Published: MDPI AG 2013-12-01
Series:Social Sciences
Subjects:
social sciences
external R&amp
D evaluation
bibliometry
publication productivity
third-party funding
scientific impact
Online Access:http://www.mdpi.com/2076-0760/2/4/284
id doaj-719b682dcb434ac294bcaee499932924
record_format Article
spelling doaj-719b682dcb434ac294bcaee4999329242020-11-24T22:34:27ZengMDPI AGSocial Sciences2076-07602013-12-012428429710.3390/socsci2040284socsci2040284Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science CommunityFranc Mali0Faculty of Social Sciences, University of Ljubljana, Kardeljeva pl. 5, Ljubljana 1000, SloveniaThis article deals with the impact of external R&D evaluations as one of the institutional factors that can encourage (or discourage) the progress of the social sciences. A critical overview is presented of the increasing use of bibliometric indicators in the external R&D evaluation procedures employed by the Slovenian Research Agency, which is the leading research council for financing the public sector of social sciences in Slovenia. We attempt to establish that, in order to ensure a good external R&D evaluation practice for a small social science community, it is insufficient to only have reliable bibliometric meta-databases. It is argued that it is equally important to formulate very precise criteria to ascertain their validity.http://www.mdpi.com/2076-0760/2/4/284social sciencesexternal R&ampD evaluationbibliometrypublication productivitythird-party fundingscientific impact
collection DOAJ
language English
format Article
sources DOAJ
author Franc Mali
spellingShingle Franc Mali
Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community
Social Sciences
social sciences
external R&amp
D evaluation
bibliometry
publication productivity
third-party funding
scientific impact
author_facet Franc Mali
author_sort Franc Mali
title Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community
title_short Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community
title_full Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community
title_fullStr Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community
title_full_unstemmed Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community
title_sort why an unbiased external r&d evaluation system is important for the progress of social sciences—the case of a small social science community
publisher MDPI AG
series Social Sciences
issn 2076-0760
publishDate 2013-12-01
description This article deals with the impact of external R&D evaluations as one of the institutional factors that can encourage (or discourage) the progress of the social sciences. A critical overview is presented of the increasing use of bibliometric indicators in the external R&D evaluation procedures employed by the Slovenian Research Agency, which is the leading research council for financing the public sector of social sciences in Slovenia. We attempt to establish that, in order to ensure a good external R&D evaluation practice for a small social science community, it is insufficient to only have reliable bibliometric meta-databases. It is argued that it is equally important to formulate very precise criteria to ascertain their validity.
topic social sciences
external R&amp
D evaluation
bibliometry
publication productivity
third-party funding
scientific impact
url http://www.mdpi.com/2076-0760/2/4/284
work_keys_str_mv AT francmali whyanunbiasedexternalrampdevaluationsystemisimportantfortheprogressofsocialsciencesthecaseofasmallsocialsciencecommunity
_version_ 1725727328935346176

Similar Items