LEADER 04623nam 22006855 450 001 9910254844903321 005 20200629133101.0 010 $a9783319605227$b(electronic bk.) 010 $a3319605224$b(electronic bk.) 024 7 $a10.1007/978-3-319-60522-7 035 $a(CKB)4100000000587292 035 $a(DE-He213)978-3-319-60522-7 035 $a(MiAaPQ)EBC5042223 035 $a(PPN)204535468 035 $a(EXLCZ)994100000000587292 100 $a20170908d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Evaluative Informetrics /$fby Henk F. Moed 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXI, 312 p. 165 illus., 148 illus. in color.) 225 1 $aQualitative and Quantitative Analysis of Scientific and Scholarly Communication,$x2365-8371 311 $a3-319-60521-6 320 $aIncludes bibliographical references. 327 $aPreface -- Structure of the book -- Acknowledgements -- Executive Summary -- PART 1: General Introduction and Synopsis -- PART 2. Historical overview lectures -- PART 3. Studies on hot topics -- PART 4. Perspective articles. 330 $aThis book presents an introduction to the field of applied evaluative informetrics, dealing with the use of bibliometric or informetric indicators in research assessment. It sketches the field?s history, recent achievements, and its potential and limits. The book dedicates special attention to the application context of quantitative research assessment. It describes research assessment as an evaluation science, and distinguishes various assessment models, in which the domain of informetrics and the policy sphere are disentangled analytically. It illustrates how external, non-informetric factors influence indicator development, and how the policy context impacts the setup of an assessment process. It also clarifies common misunderstandings in the interpretation of some often used statistics. Addressing the way forward, the book expresses the author?s critical views on a series of fundamental problems in the current use of research performance indicators in research assessment. Highlighting the potential of informetric techniques, a series of new features is proposed that could be implemented in future assessment processes. It sketches a perspective on altmetrics and proposes new lines in longer term, strategic indicator research. It is written for interested scholars from all domains of science and scholarship, and especially for all those subjected to research assessment, research students at advanced master and PhD level, research managers, funders and science policy officials, and to practitioners and students in the field. 410 0$aQualitative and Quantitative Analysis of Scientific and Scholarly Communication,$x2365-8371 606 $aInformation storage and retrieval 606 $aData mining 606 $aApplication software 606 $aManagement 606 $aIndustrial management 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aScience, Humanities and Social Sciences, multidisciplinary$3https://scigraph.springernature.com/ontologies/product-market-codes/A11007 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000 615 0$aInformation storage and retrieval. 615 0$aData mining. 615 0$aApplication software. 615 0$aManagement. 615 0$aIndustrial management. 615 14$aInformation Storage and Retrieval. 615 24$aScience, Humanities and Social Sciences, multidisciplinary. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInnovation/Technology Management. 676 $a020.21 700 $aMoed$b Henk F$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061377 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254844903321 996 $aApplied Evaluative Informetrics$92518634 997 $aUNINA