Limitations of CRIS in Assessing the Progress of Increasing Research Output in UrFU

Autor:	Lev Golitsyn, Mark Akoev, Olga Leyba
Rok vydání:	2017
Předmět:	SOUNDING APPARATUS Operations research Computer science COHORT ANALYSIS INFORMATION MANAGEMENT 05 social sciences INFORMATION MANAGEMENT SYSTEMS MANAGEMENT INFORMATION SYSTEMS 050905 science studies RESEARCH PROCESS Data science INFORMATION SYSTEMS DEVELOPMENT OF RESEARCH GROUP ARCHIMATE INFORMATION MODEL OF RESEARCH PROCESS ArchiMate WORLD CLASS General Earth and Planetary Sciences RESEARCH GROUPS RESEARCH INFORMATION MANAGEMENT SYSTEMS (RIMS) RESEARCH AND DEVELOPMENT MANAGEMENT WORLD-CLASS UNIVERSITY 0509 other social sciences 050904 information & library sciences General Environmental Science
Zdroj:	CRIS Procedia Computer Science
ISSN:	1877-0509
DOI:	10.1016/j.procs.2017.03.008
Popis:	Using CRIS metrics to monitor and stimulate research activity is a widely accepted practice. We implemented CRIS Pure in UrFU and in this paper we summarize limitations of CRIS we met and outline the approaches proposed to solve them. © 2017 The Authors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b558f48943cda93267b5048baf9f2e36 https://doi.org/10.1016/j.procs.2017.03.008 Zobrazit plný text záznamu