The Open Handbook of Linguistic Data Management / Open Handbooks in Linguistics (ePub)
(Sprache: Englisch)
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...
"Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing...
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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.
"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.
Autoren-Porträt
Andrea L. Berez-Kroeker is Associate Professor in the Department of Linguistics at the University of Hawai'i at Manoa. Bradley McDonnell is Assistant Professor in the Department of Linguistics at the University of Hawai'i at Manoa. Eve Koller is Assistant Professor at Brigham Young University Hawai'i. Lauren B. Collister is the Director of the Office of Scholarly Communication and Publishing at the University Library System at the University of Pittsburgh.
Bibliographische Angaben
- 2022, 688 Seiten, Englisch
- Herausgegeben: Andrea L. Berez-Kroeker, Bradley McDonnell, Eve Koller, Lauren B. Collister
- Verlag: MIT Press
- ISBN-10: 0262362171
- ISBN-13: 9780262362177
- Erscheinungsdatum: 18.01.2022
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eBook Informationen
- Dateiformat: ePub
- Größe: 62 MB
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Sprache:
Englisch
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