Chasing unicorns and next generation metrics
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The document discusses the impact of open science and social media on research effectiveness and societal contributions. It highlights how social media metrics, particularly Twitter, relate to citation rates and research visibility, emphasizing that different factors drive online engagement compared to traditional citation metrics. Additionally, it touches on the need for understanding impact terminology and encourages developing in-house expertise for better communication and community building.
Chasing unicorns and next generation metrics
- 3. 3 Melanie Imming & Jon Tennant. (2018, June 8). Sticker open science: just science done right. Zenodo. http://doi.org/10.5281/zenodo.128557
- 5. Pic by Kelly Tan
- 6. Improve social cohesion and well-being Improve effectiveness and sustainability of policy and activities by ‘third parties Improve quality of life and cultural wealth Enlarge economic prosperity and robustness Continuity of funding Trust of citizens Touchstone Relevance Personal skills Fulfillment
- 8. 8 SO WHAT? Activities Outputs Outcomes Impact HOW? Problem Impact may be big or small, instrumental (direct change) or conceptual (ideas, feelings), quantitative or qualitative. There is no single type of impact. Understanding terminology Identify what is process (pathway to) and what is effect/result (impact)
- 12. In tune with contemporary research practices Internal + external communication Different voice Extra channel Creating a community (online/offline) Develop in-house expertise
- 14. 14 “Highly tweeted articles were 11 times more likely to be highly cited.” (Eysenbach 2011) “Papers mentioned on Twitter are more downloaded and cited than papers which are not.” (Shuai 2011) “Twitter activity was a more important predictor of citation than 5-year journal impact factor.” (Peoples 2016) “Twitter activity was not driven by journal impact factor, the ‘highest-impact’ journals were not necessarily the most discussed online.” (Peoples 2016) “Factors driving social media and citations are different. Social media metrics cannot be seen as alternative to citations.” (Haustein 2015) “Among social media metrics, citations correlate the most with Twitter, although tweets are not a good predictor of citation impact.” (Haustein 2015)
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- 17. 17 There must be an ID Not about body of work or general expertise Different traditions in different disciplines Dependent on Altmetric inclusion/tracking
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- 20. 20 https://www.ugent.be/en/research/open-science.htm https://www.ugent.be/en/research/research-evaluation.htm https://www.ugent.be/en/research/indicators.htm https://www.ugent.be/en/research/portfolio-research.htm https://www.ugent.be/intranet/en/research/organisation/soc-value https://www.ugent.be/intranet/nl/op-het-werk/onderzoek- onderwijs/onderzoek/beleid/maatschappelijke- valorisatie/altmetric/altmetric.htm Principles for research assessment Dimensions of research Actions within framework of societal impact
- 22. @ResearchUGent THANK YOU FOR LISTENING! Slides available via SlideShare Esther De Smet Research Department May 2019
Editor's Notes
- #2: Fontmeme Alice (fancy fonts)
- #5: But also take it that one step further – beyond the academic environment Let in outside influences into your science and acknowledge that there is also valuable knowledge outside the walls of your institute Look for ways in which you can develop socially robust knowledge and allow for cocreation of science. Helga Nowotny , Peter Scott and Michael T. Gibbons - Re-Thinking Science: Mode 2 in Societal Context (2003) “Science’s validity no longer determined solely, or predominantly, by narrowly circumscribed scientific communities but by much wider communities of engagement comprising knowledge producers, disseminators, traders and users.”
- #20: Global phenonemon