Presentation Open Access
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)
Juliane Baron, Federation of Associations Behavioral and Brain Sciences
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
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.
Thank you to seminar series collaborators:
Thank you to the National Science Foundation for their support: Grant ID 1838990