Downloads provided by UsageCounts
This seminar is a first in 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. Following the planned presentation, participants will have ~30 minutes of Q&A and discussion specific to society engagement to improve data sharing, credit, and transparency. Data Sharing and Citation: How Societies Can Make a Difference 5 February 2021, 10am ET (1500 UTC) Moderator: Juliane Baron, Federation of Associations Behavioral and Brain Sciences Speakers: Helena Cousijn, DataCite Shelley Stall, American Geophysical Union Seminar Recording: https://youtu.be/gII5WTKXHw0 Resources referenced during the presentation: Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. Martone M. (ed.) San Diego CA: FORCE11; 2014 https://doi.org/10.25490/a97f-egyk Fenner, M et al. 2019. A data citation roadmap for scholarly data repsoitories. Scientific Data, 6. DOI: https://doi.org/10.1038/s41597-019-0031-8 Cousijn, H, et al. 2018. A data citation roadmap for scientific publishers. Scientific Data, 5. DOI: https://doi.org/10.1038/sdata.2018.259 Scholix: https://scholix.org DataCite Schema (Current Version 4.3): https://schema.datacite.org Research Organization Registry: https://ror.org DataCite Commons (PID Graph): https://commons.datacite.org Helena Cousijn, Ricarda Braukmann, Martin Fenner, Christine Ferguson, René van Horik, Rachael Lammey, Alice Meadows, Simon Lambert (2021). Connect PIDs: The Potential of the PID Graph. Patterns 2,1. https://doi.org/10.1016/j.patter.2020.100180 National Academies of Sciences, Engineering, and Medicine. 2018. Open Science by Design: Realizing a Vision for 21st Century Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/25116. National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press. https://doi.org/10.17226/25303. https://ec.europa.eu/info/sites/info/files/turning_fair_into_reality_1.pdf https://ardc.edu.au/resources/working-with-data/fair-data/ https://www.agu.org/Share-and-Advocate/Share/Policymakers/Position-Statements/Position_Data https://www.agu.org/Learn-About-AGU/About-AGU/About/Strategic-Plan Thank you to seminar series collaborators: AAAS/Science American Astronomical Society American Geophysical Union American Meteorological Society, Board on Data Stewardship Council of Scientific Society Presidents Federation of American Societies For Experimental Biology Federation of Associations in Behavioral and Brain Sciences International Union of Pure and Applied Chemistry Thank you to the National Science Foundation for their support: Grant ID 1838990
Special thank you to Laura Lyon of AGU and her support organizing and managing this seminar.
Data Sharing, DOI, Persistant Identifier, Linking, ROR, Societies, Data Citation
Data Sharing, DOI, Persistant Identifier, Linking, ROR, Societies, Data Citation
| 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 |
| views | 15 | |
| downloads | 16 |

Views provided by UsageCounts
Downloads provided by UsageCounts