The Review, Appraisal, and Triage of Mail (RATOM) project is developing software to assist archives and other collecting organizations with email analysis, selection, and appraisal tasks. The project extends the email processing capabilities currently present in the TOMES software and BitCurator environment, developing additional modules for these tools along with select standalone software to support more advanced workflows.

These include identifying and reporting on entities present within emails and email attachments using a scalable NLP library; identifying materials requiring redaction or review due to the presence of potentially sensitive information; and developing software modules to assist with preparation of materials for release and public access.

Core library, CLI application, and demonstration notebooks:

https://github.com/libratom/libratom

https://github.com/libratom/ratom-notebooks

Selection and appraisal web application:

https://github.com/StateArchivesOfNorthCarolina/ratom-deploy

Additional repositories at ratom-server and ratom-web

The RATOM project is a product of the RATOM team at the School of Information and Library and Information Science at the University of North Carolina at Chapel Hill. Initial funding for RATOM was provided by a grant from the Andrew W. Mellon Foundation (grant reference number https://www.mellon.org/grant-details/selection-and-appraisal-of-email-for-preservation-20444943.