Dataverse is a Harvard University-housed free open-source application of interdisciplinary repository to share, preserve, cite, explore, and analyze research data. Dataverse adopts FAIR Data Principles and have been broadly used in social sciences, physics, and humanities, but rarely by chemistry researchers. The presentation will explore introducing chemistry data into Dataverse, including a survey of the landscape of chemistry data needs, delivering tailed training of the repository application, collaborations of subject librarians and repository managers/programmers, and case studies of different types of chemistry datasets. The aim of this project is to develop the best practices of service design, roles and responsibilities, workflows, and early metrics of adoption of chemistry data in an open-source interdisciplinary repository. The presentation will also share unique challenges of chemistry data associated with FAIR Principles and their solutions/suggestions, for instance, structural data visualization, Metadata schemas, InChI/SMILE implementation, data security, and intellectual property issues with chemistry data.

Cultivating good chemistry data in open-source interdisciplinary repository

ACS Spring Meeting 2021

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