LINGUIST List 33.648
Fri Feb 18 2022
Media: The Open Handbook of Linguistic Data Management
Editor for this issue: Everett Green <everettlinguistlist.org>
Date: 20-Jan-2022
From: Andrea Berez-Kroeker <aberez
hawaii.edu>
Subject: The Open Handbook of Linguistic Data Management
E-mail this message to a friend The Open Handbook of Linguistic Data Management (2022 MIT Press, ed. by Berez-Kroeker, McDonnell, Koller & Collister) is now available free and open source at
https://direct.mit.edu/books/book/5244/The-Open-Handbook-of-Linguistic-Data-Management.
The Handbook is 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.
Also available is an online companion course to the Handbook, at
http://linguisticdatamanagement.org. This self-paced course is designed provide readers an opportunity to delve more deeply into the concepts presented in the first 13 chapters in The Open Handbook of Linguistic Data Management.
Each course lesson provides: a link to the relevant chapter, a brief synopsis of the chapter, highlighted core keywords and concepts, so you can ensure you understand the important points, activities and opportunities to practice what you've learned, suggestions for how implement the concepts in your own career, research and study, quizzes to test your understanding of the concepts, and links to the Data Management Use Case chapters that are especially relevant.
Linguistic Field(s): General Linguistics
Page Updated: 18-Feb-2022