The ACS Guide to Scholarly Communication is being expanded with new topics beyond the scientific journal, including trends and best practices for exchanging research data in the digital environment. Most of the ACS Guide to Scholarly Communication focuses on best practices for communicating scholarly information for human consumption. In the newest edition of The Guide, a new part has been added on best practices for communicating scholarly information for machine consumption. Machines are becoming an increasingly larger and more important part of how scientists are recognized and rewarded for their research contributions. Those scientists who engage in data sharing and learn the best practices to make the data associated with their published works more machine-friendly will have a distinct competitive advantage relative to their peers. The new part, entitled “Data in the Google Era”, consists of three chapters: Data Sharing – An overview of the current landscape of sharing digital chemical data as well as practical guidance for best practices in preparing data and information in digital form that can be transmitted or processed Digital Chemical Data – An overview of the essential types of digital chemical data for authors, reviewers, and publishers. Chemical Structures in the Google Era – An overview of subtle, critical machine interpretation issues problems that authors, reviewers, and publishers will face when sharing chemical structure information in digital formats. Highlights from each of these chapters will be given in this talk.

Chemical data in the Google era

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.