Embedding InCites into Diverse Assessment Environment at MTA KIK TTO Sándor Sós
Discover how the Hungarian Academy of Sciences (MTA) in Budapest, Hungary, incorporates InCites into a diverse assessment environment, focusing on research projects like the IMPACT-EV project. Explore the use of InCites for promoting best practices, enabling evaluation methods, and educating on context-sensitivity in evaluation. Learn about custom data mining and analyses to enhance evaluation processes in scientific research.
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Presentation Transcript
Embedding InCites into a diverse assessment environment: the case of MTA KIK TTO S ndor So s1 1Hungarian Academy of Sciences (MTA), Budapest, Hungary 2Petabyte Research Ltd., Budapest, Hungary
Research projects The IMPACT-EV project (FP7) Dedicated task: To develop/construct a feasible indicator system for monitoring the scientific impact of European funded research projects
InCites for: (1) Promoting best practice in evaluation Diverse actors in research evaluation: Academia Stakeholders (policy making) Data providers Science Science analytics analyticsbusiness Ranking business Research institutions and groups (CWTS) ( ) business
InCites for: (1) Educating on context-sensitivity in evaluation
InCites for: (2) Enabling evaluation methods InCites Field benchmarks for normalization (comparability) Cross-validadated data (affiliations) Web of Science MTMT Validated data: cross-validating with national databases (MTMT)
InCites for: (2) Enabling evaluation methods Validated data: cross-validating with national databases (MTMT)
InCites for: (2) Enabling evaluation methods Custom data: data mining for detecting publication sets (e.g. evaluating funding systems)
InCites for: (2) Enabling evaluation methods Custom analyses: Item (paper-) -level characteristics for the study or distributions in the metrics space
Some issues w.r.t. evaluation Marketing decisions for metrics design: % pubs in Q1 journals. How Category assignments are factored in : Best Q! Average JIF percentile How Category assignments are factored in: Best rank! Switching between classification schemes How things add up in the new scheme (e.g. MNCS calculation based on which reference sets?)
Some issues w.r.t. evaluation Marketing decisions for metrics design: % pubs in Q1 journals. How Category assignments are factored in : Best Q! Average JIF percentile How Category assignments are factored in: Best rank! Switching between classification schemes How things add up in the new scheme (e.g. MNCS calculation based on which reference sets?)
InCites workshop, Vienna, 2017. 11. 09. Thank you you for your attention!
