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This seminar is part of a series to provide societies and their journals with information and resources to help their communities be more knowledgeable and prepared to share data (and software) in a way that is relevant and meaningful for each discipline. This is a 12-month series. The Data You Document are the Data We Love 5 November 2021, 10am ET (1400 UTC) Speakers: Joy Davidson, Coordinator, Digital Curation Centre (DCC) Eva Méndez, Associate Professor, Universidad Carlos III de Madrid Moderator: Zsolt Silberer, Director of Publishing, Ecological Society of America Description: Our research data are critical to our work. We don’t always document them as well as we should. If we restructure our thinking that our research data are just as important a contribution to the scientific record as our peer-reviewed papers, then what would “well-documented” data look like? Our speakers Joy Davidson and Eva Méndez will share current work on helping researchers improve their data documentation (i.e., metadata) and give us reasonable steps as societies to help encourage our researchers with their own documentation practices. Seminar Recording: https://youtu.be/SoFxBN-Jnbg
Special thank you to Laura Lyon of AGU and her support organizing and managing this seminar.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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