Ethical Open Science for Past Global Change Research: Building technical and social capacity in data systems and practitioners in support of ethical open science practices such as the CARE and FAIR principles
NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners ,
NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners ,
NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners ,
NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners ,
NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners ,
NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners
Blois, Jessica;
Ethical Open Science for Past Global Change Research: Building technical and social capacity in data systems and practitioners in support of ethical open science practices such as the CARE and FAIR principles
This product is a talk about the Ethical Open Science for Past Global Change Research Research Coordination Network (RCN) at the US National Science Foundation Open Science Hour, delivered virtually on Tuesday, March 19, 2024. Project Lead PI Jessica Blois created the talk, with contributions from other project PIs, postdocs and staff. Learn more about the RCN at https://eos-rcn.github.io/web/.
- University of Oslo Norway
- University of Georgia Press United States
- UNIVERSITY OF WISCONSIN-MADISON United States
- University of Wisconsin–Oshkosh United States
- College of New Jersey United States
Archaeology, Neotoma Paleoecology Database, Paleoecology, ZooArchNet, Open Context, CARE, FAIR
Archaeology, Neotoma Paleoecology Database, Paleoecology, ZooArchNet, Open Context, CARE, FAIR
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
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
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NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners, NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners, NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners, NSF| Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners
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