The open handbook of linguistic data management / 
edited by Andrea L. Berez-Kroeker, Bradley McDonnell, Eve Koller and Lauren B. Collister. 
 - 1 online resource (xiv, 671 pages) :  illustrations. 
 - Open handbooks in linguistics series .
 - Open handbooks in linguistics series. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> 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. 
<br/><br/><br/>Creative commons Attribution-NonCommercial 4.0 International 
<br/><br/><label>ISBN: </label>9780262362177 0262362171 026236607X 9780262366076 
<br/><br/><label>Standard No.: </label>10.7551/mitpress/12200.001.0001  doi 
<br/><br/><label>Source: </label>12200  MIT Press 9780262366076  MIT Press 9740254  IEEE 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computational linguistics.<br/>Natural language processing (Computer science)<br/>Data mining.<br/>Natural Language Processing<br/>Data Mining
<br/><br/><label>Subjects--Index Terms: </label>LANGUAGE ARTS & DISCIPLINES / Linguistics / General LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Archives & Special Libraries LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Digital & Online Resources 
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>P98  / .O64 2021eb