Data Sharing and Citation: How Societies Can Make a Difference

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