%0 Generic %1 scalfani2020chemical %A Scalfani, Vincent %A McEwen, Leah %D 2020 %K data rdm_chemistry %T NSF FAIR Chemical Data Publishing Guidelines Workshop on Chemical Structures and Spectra: Major Outcomes and Outlooks for the Chemistry Community %U https://ecommons.cornell.edu/handle/1813/69862 %X 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., Supported by NSF OAC Award Nos. 1838958 and 1838960, Cornell University Library and the Libraries at the University of Alabama. Other nominal cosponsors included: the American Chemical Society Division of Chemical Information, the International Union of Pure and Applied Chemistry Committee on Publications and Cheminformatics Data Standards, and the Global and Open FAIR Chemistry Implementation Network.

@misc{scalfani2020chemical, abstract = {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., Supported by NSF OAC Award Nos. 1838958 and 1838960, Cornell University Library and the Libraries at the University of Alabama. Other nominal cosponsors included: the American Chemical Society Division of Chemical Information, the International Union of Pure and Applied Chemistry Committee on Publications and Cheminformatics Data Standards, and the Global and Open FAIR Chemistry Implementation Network.}, added-at = {2021-01-22T17:37:29.000+0100}, author = {Scalfani, Vincent and McEwen, Leah}, biburl = {https://www.bibsonomy.org/bibtex/2f31054bf125a90a3eb171bedf67a89ee/danielle.dennie}, description = {NSF FAIR Chemical Data Publishing Guidelines Workshop on Chemical Structures and Spectra: Major Outcomes and Outlooks for the Chemistry Community}, id = {https://hdl.handle.net/1813/69862, https://doi.org/10.7298/fs2d-hx95}, interhash = {7c8c8df6452f7e339a20bcab9b7fb30e}, intrahash = {f31054bf125a90a3eb171bedf67a89ee}, keywords = {data rdm_chemistry}, timestamp = {2021-01-22T17:37:29.000+0100}, title = {NSF FAIR Chemical Data Publishing Guidelines Workshop on Chemical Structures and Spectra: Major Outcomes and Outlooks for the Chemistry Community}, type = {report}, url = {https://ecommons.cornell.edu/handle/1813/69862}, year = 2020 }