Text

The Open Handbook of Linguistic Data Management

---

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.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

400 OPE o

Publisher

: The MIT Press., 2022

Collation

-

Language

English

ISBN/ISSN

9780262366076

Classification

400

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Linguistics

Specific Detail Info

-

Statement of Responsibility

Editor: Andrea L. Berez-Kroeker...[serta empat editor lainnya]

Other Information

Cataloger

umi

Source

https://direct.mit.edu/books/oa-edited-volume/5244/The-Open-Handbook-of-Linguistic-Data-Management

Validator

-

Digital Object Identifier (DOI)

-

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment