metrics Project Introduction metrics in Transition Final Workshop

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*metrics Project Introduction *metrics in Transition - Final Workshop 27 -28 March 2019 SUB

*metrics Project Introduction *metrics in Transition - Final Workshop 27 -28 March 2019 SUB Göttingen Astrid Orth

*metrics Project DFG-funded 01/2017 – 05/2019 Partner State and University Library Göttingen (SUB), Leibniz-Informationszentrum

*metrics Project DFG-funded 01/2017 – 05/2019 Partner State and University Library Göttingen (SUB), Leibniz-Informationszentrum Wirtschaft (ZBW) Headoffice Gemeinsamer Bibliotheksverbund (VZG) Leibniz Institute for the Social Sciences (GESIS)

*metrics Project Aims MEasuring The Reliability and perceptions of Indicators for interactions with s.

*metrics Project Aims MEasuring The Reliability and perceptions of Indicators for interactions with s. Cientific product. S Understanding of *metrics, especially in terms of their general significance and their perception amongst stakeholders How can alternative metrics contribute to a new set of indicators for scientific output?

FWF is testing Altmetrics Response to research contributions in (parts of) society May prove

FWF is testing Altmetrics Response to research contributions in (parts of) society May prove “Societal Impact” Altmetrics have weaknesses, but also show potential https: //www. fwf. ac. at/de/news-presse/news/nachricht/nid/20171011 -2254 4

DIPF – Wikiversum project How to measure Wikipedia impact? Wikipedia usage can be detected

DIPF – Wikiversum project How to measure Wikipedia impact? Wikipedia usage can be detected Comparable between repositories and over time Serve as additional future performance indicator? https: //opus 4. kobv. de/opus 4 -bib-info/frontdoor/index/doc. Id/16283 6

Traditional and Web-based metrics Bibliometrics: How often are scientific articles cited by other scientific

Traditional and Web-based metrics Bibliometrics: How often are scientific articles cited by other scientific articles? Altmetrics/usage metrics (= web-based metrics): How often do users interact with a scientific output online? 7

Challenges for web-based metrics: heterogeneity Attention towards a scientific output on the Web Platforms

Challenges for web-based metrics: heterogeneity Attention towards a scientific output on the Web Platforms User groups Great heterogeneity regarding • Usage purposes • User intentions • User demographics • Techn. complexity • […] Action types User groups 8 Icons designed by Freepik from Flaticon. Platform types

Main activities User studies: surveys and interviews User studies based on social media data

Main activities User studies: surveys and interviews User studies based on social media data Technical evaluation and prototyping Social Media Registry 10

Integration in repositories ZBW: Econ. Stor SUB: Goe. Scholar/GRO GESIS: SSOAR VZG: Embedding in

Integration in repositories ZBW: Econ. Stor SUB: Goe. Scholar/GRO GESIS: SSOAR VZG: Embedding in repository software 12

Thank you / Vielen Dank! Web https: //metrics-project. net/ Email metrics-project@sub. uni-goettingen. de

Thank you / Vielen Dank! Web https: //metrics-project. net/ Email metrics-project@sub. uni-goettingen. de Twitter @metrics_project Facebook @metricsproject