| dc.contributor.author | Kearnes, Steven M | |
| dc.contributor.author | Maser, Michael R | |
| dc.contributor.author | Wleklinski, Michael | |
| dc.contributor.author | Kast, Anton | |
| dc.contributor.author | Doyle, Abigail G | |
| dc.contributor.author | Dreher, Spencer D | |
| dc.contributor.author | Hawkins, Joel M | |
| dc.contributor.author | Jensen, Klavs F | |
| dc.contributor.author | Coley, Connor W | |
| dc.date.accessioned | 2025-08-27T18:42:05Z | |
| dc.date.available | 2025-08-27T18:42:05Z | |
| dc.date.issued | 2021-11-02 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/162573 | |
| dc.description.abstract | Chemical reaction data in journal articles, patents, and even electronic laboratory notebooks are currently stored in various formats, often unstructured, which presents a significant barrier to downstream applications, including the training of machine-learning models. We present the Open Reaction Database (ORD), an open-access schema and infrastructure for structuring and sharing organic reaction data, including a centralized data repository. The ORD schema supports conventional and emerging technologies, from benchtop reactions to automated high-throughput experiments and flow chemistry. The data, schema, supporting code, and web-based user interfaces are all publicly available on GitHub. Our vision is that a consistent data representation and infrastructure to support data sharing will enable downstream applications that will greatly improve the state of the art with respect to computer-aided synthesis planning, reaction prediction, and other predictive chemistry tasks. | en_US |
| dc.language.iso | en | |
| dc.publisher | American Chemical Society | en_US |
| dc.relation.isversionof | 10.1021/jacs.1c09820 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | American Chemical Society | en_US |
| dc.title | The Open Reaction Database | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Steven M. Kearnes, Michael R. Maser, Michael Wleklinski, Anton Kast, Abigail G. Doyle, Spencer D. Dreher, Joel M. Hawkins, Klavs F. Jensen, and Connor W. Coley. Journal of the American Chemical Society 2021 143 (45), 18820-18826. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Chemical Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.relation.journal | Journal of the American Chemical Society | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2025-08-27T18:34:56Z | |
| dspace.orderedauthors | Kearnes, SM; Maser, MR; Wleklinski, M; Kast, A; Doyle, AG; Dreher, SD; Hawkins, JM; Jensen, KF; Coley, CW | en_US |
| dspace.date.submission | 2025-08-27T18:34:58Z | |
| mit.journal.volume | 143 | en_US |
| mit.journal.issue | 45 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |