Next Article in Journal
Constructions of Resilience: Ethnoracial Diversity, Inequality, and Post-Katrina Recovery, the Case of New Orleans
Next Article in Special Issue
Limits of Religious Analogy: The Example of Celebrity
Previous Article in Journal
Sustainable Paper Consumption: Exploring Behavioral Factors
Previous Article in Special Issue
Interactions in Generalized Linear Models: Theoretical Issues and an Application to Personal Vote-Earning Attributes
Article Menu

Export Article

Open AccessArticle
Soc. Sci. 2013, 2(4), 284-297; doi:10.3390/socsci2040284

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

Faculty of Social Sciences, University of Ljubljana, Kardeljeva pl. 5, Ljubljana 1000, Slovenia
Received: 20 October 2013 / Revised: 11 November 2013 / Accepted: 29 November 2013 / Published: 3 December 2013
(This article belongs to the Special Issue Advances in the Social Sciences)
View Full-Text   |   Download PDF [164 KB, uploaded 3 December 2013]

Abstract

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.
Keywords: social sciences; external R&D evaluation; bibliometry; publication productivity; third-party funding; scientific impact social sciences; external R&D evaluation; bibliometry; publication productivity; third-party funding; scientific impact
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Mali, F. Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community. Soc. Sci. 2013, 2, 284-297.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Soc. Sci. EISSN 2076-0760 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top