Stewardship of digital language archives: training development and testing through collaboration of information scientists, linguists, and communities

Introduction. Specialized repositories aggregating digital data that focus on languages (of indigenous groups, refugees, etc.) are known as digital language archives (DLA). DLA rapid growth is galvanized by language documentation efforts supported by funding agencies. Recent studies examine DLA user needs and explore support of these needs in digital repositories. Training of LAM professionals in curating and managing DLA to support user needs is emerging, with no research yet into its effectiveness. Method. Our federally funded interdisciplinary project creates and tests the 1st US LAM graduate course with DLA focus. The curriculum development builds on team’s experience with DLA, available DLA user studies, and collaborations of LAM and linguistics researchers with language communities. We report on the current state of curriculum development, discuss analysis results and future steps. Analysis. Quantitative and qualitative analyses of data collected through course-level and module-level surveys, and content analysis. Results. Overall, the project-developed training materials are effective in developing learning objectives. Areas for improvement are identified. Conclusions. The team is refining the LAM curriculum and developing language community DLA training workshops based on student evaluation results, collecting community feedback for future analysis. The project is expected to positively impact LAM education and DLA users’ experiences.

Authors

Institutions

Publication Details

Journal
Information Research an international electronic journal
Published
2025-03-11
DOI
https://doi.org/10.47989/ir30iconf47311
Citations
3
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
4.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stewardship of digital language archives: training development and testing through collaboration of information scientists, linguists, and communities

Oksana L. Zavalina, Alexandra O'Neil, Shobhana Lakshmi Chelliah
3 citations
Information Research an international electronic journal
Natural Language Processing Techniques
4.96
article

Stewardship of digital language archives: training development and testing through collaboration of information scientists, linguists, and communities

Oksana L. Zavalina, Alexandra O'Neil, Shobhana Lakshmi Chelliah
article en
3 citations

Abstract

Introduction. Specialized repositories aggregating digital data that focus on languages (of indigenous groups, refugees, etc.) are known as digital language archives (DLA). DLA rapid growth is galvanized by language documentation efforts supported by funding agencies. Recent studies examine DLA user needs and explore support of these needs in digital repositories. Training of LAM professionals in curating and managing DLA to support user needs is emerging, with no research yet into its effectiveness. Method. Our federally funded interdisciplinary project creates and tests the 1st US LAM graduate course with DLA focus. The curriculum development builds on team’s experience with DLA, available DLA user studies, and collaborations of LAM and linguistics researchers with language communities. We report on the current state of curriculum development, discuss analysis results and future steps. Analysis. Quantitative and qualitative analyses of data collected through course-level and module-level surveys, and content analysis. Results. Overall, the project-developed training materials are effective in developing learning objectives. Areas for improvement are identified. Conclusions. The team is refining the LAM curriculum and developing language community DLA training workshops based on student evaluation results, collecting community feedback for future analysis. The project is expected to positively impact LAM education and DLA users’ experiences.

Information Research an international electronic journalVol. 30(iConf)
University of North Texas (US), Indiana University (US)
Institute of Museum and Library Services
Openalex Percentile: Top 6%
Natural Language Processing Techniques
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.