| dc.contributor.author | Zimmerman, Katie | |
| dc.date.accessioned | 2024-03-19T17:46:47Z | |
| dc.date.available | 2024-03-19T17:46:47Z | |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 978-1-5381-6821-9 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/153820 | |
| dc.language.iso | en_US | |
| dc.publisher | Rowman & Littlefield Publishers | en_US |
| dc.relation.isversionof | https://rowman.com/ISBN/9781538168219/Copyright-Best-Practices-for-Academic-Libraries | en_US |
| dc.rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) | en_US |
| dc.rights.uri | https://rightsstatements.org/page/InC/1.0/?language=en | en_US |
| dc.source | Zimmerman | en_US |
| dc.title | Text and Data Mining: Negotiating Computational Access to Library Resources | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | "Text and Data Mining: Negotiating Computational Access to Library Resources," Katie Zimmerman (pgs. 197-212), in Copyright: Best Practices for Academic Libraries, Donna L. Ferullo and Dwayne K. Buttler, eds., 2023. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Libraries | |
| dc.relation.journal | Copyright: Best Practices for Academic Libraries | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/BookItem | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.date.submission | 2024-03-19T17:44:17Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
