| 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 | Creative Commons Attribution-Noncommercial | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | 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_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
