TY  - GEN
AB  - A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data.Doing language science depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.
AU  - Berez-Kroeker, Andrea L.,
AU  - McDonnell, Bradley James,
AU  - Koller, Eve,
AU  - Collister, Lauren B.,
CN  - P98
ID  - 1412182
KW  - Computational linguistics.
KW  - Natural language processing (Computer science)
KW  - Data mining.
KW  - LANGUAGE ARTS & DISCIPLINES / Linguistics / General
KW  - LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Archives & Special Libraries
KW  - LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Digital & Online Resources
LK  - https://doi.org/10.7551/mitpress/12200.001.0001?locatt=mode:legacy
LK  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
N2  - A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data.Doing language science depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.
SN  - 9780262362177
SN  - 0262362171
SN  - 026236607X
SN  - 9780262366076
T1  - The open handbook of linguistic data management /
TI  - The open handbook of linguistic data management /
UR  - https://doi.org/10.7551/mitpress/12200.001.0001?locatt=mode:legacy
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -