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Oceanography is inherently an interdisciplinary science capable of producing highly complex, heterogeneous data that pose unique challenges for data management and reuse. Evolving instrumentation and new research methodologies are increasingly taxing current strategies and technologies for management and reuse of data. Data-related publisher and funder requirements are relatively new demands that researchers must learn to navigate. These are just some of the stressors that repositories experience in their role of curating and publishing FAIR marine-related data. In response, oceanographic repositories are adapting by leveraging community data standards, engaging in the development of new technologies and the usage of novel tools to improve data discovery and interoperability. Additionally, they are collaborating with data-related stakeholders to help shape data-related policy, and fill an education role to promote good data hygiene and bring awareness of concepts like FAIR to the oceanographic research community. This presentation will highlight some of the activities of the BCO-DMO repository that are aimed at advancing the availability and reuse of Open oceanographic data.
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NSF FAIR Chemical Data Publishing Guidelines Workshop on Chemical Structures and Spectra: Major Outcomes and Outlooks for the Chemistry Community
The National Science Foundation Office of Advanced Cyberinfrastructure (NSF-OAC) funded a workshop in March 2019 focused on advancing the sharing of machine-readable chemical structures and spectra. Around 40 stakeholders from the chemistry, chemical information, and software communities took part in the two-day workshop entitled “FAIR Chemical Data Publishing Guidelines for Chemical Structures and Spectra.” Major topics discussed included publishing data workflows and guidelines, FAIR criteria/metadata profiles, value propositions, a publisher implementation pilot, and community support and engagement. This report summarizes the workshop conversations, major outcomes, and target areas for further activities. Primary outcomes from the workshop include identification of key metadata elements for sharing machine-readable structures and spectra, a sample of concise author guidelines, and a publisher proposal to accept enhanced supporting information files including these data types and associated metadata alongside articles. Selected target areas for further activities include the creation of author file and metadata packaging tools to facilitate easy compilation of data, and increased training for stakeholders specifically in the generation and handling of machine-readable file formats. We conclude this report with our outlooks and highlight several related community efforts initiated after the workshop.
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- Award ID(s):
- 1838958
- PAR ID:
- 10208140
- Date Published:
- Journal Name:
- eCommonsCornell
- ISSN:
- 2372-5524
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.7298/fs2d-hx95
