Data underlying published studies is difficult to find or access, which can hinder new scientific research. Currently, only about 20% of published papers have their supporting data in discoverable and accessible repositories. The AGU, working with our partners (Dryad, CHORUS, ESIP, Wiley), and supported by the National Science Foundation (NSF), will focus on improving guidance and workflows to properly manage, link, and track data and software references throughout the publication pipeline. The resulting best practices will serve as a resource for AGU editors, reviewers, and authors and help advance data and software publication policies. Beyond AGU, this work will serve as a model for linking information across funders, data repositories, ...
This presentation was given during MAGLAB's 2021 FAIR Data User Workshop held 12 October. Resource...
This presentation was given during MAGLAB's 2021 FAIR Data User Workshop held 12 October. Resource...
This presentation was part of: CHORUS FORUM: FAIR DATA FROM FUNDING TO PUBLICATION AT Japanese Open...
Data underlying published studies is difficult to find or access, which can hinder new scientific re...
Enabling FAIR Data in the Earth, Space, and Environmental Sciences: Encouraging all Researchers to D...
Open science practices like the publication of research data promote transparency and quality as wel...
This talk was delivered during Goldschmidt 2021 held 4-9 July Theme 14, Geochemistry in the classroo...
What should be included and cited in your paper? Citing data and software you created for your resea...
Data and software are the building blocks of the research published in the AGU journals. These digit...
Keynote talk: GeoKarlsruhe 2021 Session: 15.2 Strategies to enable FAIR and Open Data and Software ...
Presented at JpGU, Session M-GI31 Abstract: Research is a critical element to addressing emerging ...
The value of making research data available is broadly accepted. Policies concerning the open access...
Open Science and Data Help Desk These presentations were given at the 2022 annual meeting of the Am...
Lightening talk at the 2020 AGU Fall Meeting Abstract: The Environmental Data Initiative is an NSF-...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
This presentation was given during MAGLAB's 2021 FAIR Data User Workshop held 12 October. Resource...
This presentation was given during MAGLAB's 2021 FAIR Data User Workshop held 12 October. Resource...
This presentation was part of: CHORUS FORUM: FAIR DATA FROM FUNDING TO PUBLICATION AT Japanese Open...
Data underlying published studies is difficult to find or access, which can hinder new scientific re...
Enabling FAIR Data in the Earth, Space, and Environmental Sciences: Encouraging all Researchers to D...
Open science practices like the publication of research data promote transparency and quality as wel...
This talk was delivered during Goldschmidt 2021 held 4-9 July Theme 14, Geochemistry in the classroo...
What should be included and cited in your paper? Citing data and software you created for your resea...
Data and software are the building blocks of the research published in the AGU journals. These digit...
Keynote talk: GeoKarlsruhe 2021 Session: 15.2 Strategies to enable FAIR and Open Data and Software ...
Presented at JpGU, Session M-GI31 Abstract: Research is a critical element to addressing emerging ...
The value of making research data available is broadly accepted. Policies concerning the open access...
Open Science and Data Help Desk These presentations were given at the 2022 annual meeting of the Am...
Lightening talk at the 2020 AGU Fall Meeting Abstract: The Environmental Data Initiative is an NSF-...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
This presentation was given during MAGLAB's 2021 FAIR Data User Workshop held 12 October. Resource...
This presentation was given during MAGLAB's 2021 FAIR Data User Workshop held 12 October. Resource...
This presentation was part of: CHORUS FORUM: FAIR DATA FROM FUNDING TO PUBLICATION AT Japanese Open...