Course: Sustainable Open Linguistic Research

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Course title Sustainable Open Linguistic Research
Course code DAS/JAZ1
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 6
Language of instruction Czech, English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Schirmer Andreas, Mag. phil. Dr.
  • Uher David, doc. Mgr. PhD.
  • Ferklová Blanka, Mgr. Ph.D.
  • Barešová Ivona, doc. Mgr. Ph.D.
  • Saad Georges, PhD.
Course content
Week 1: Introduction to Sustainability in Linguistics Week 2: Reduce Minimizing Duplication in Linguistic Data Week 3: Reuse Innovation Through Open Data Week 4: Recycle Repurposing and Enhancing Linguistic Data Week 5: Ethics and Community in Open Data Week 6: Sustainability Beyond the Data - FAIR principles and long-term maintainence Week 7: Project Kickoff and Team Formation Week 8: Data Collection and Exploration Week 9: Project Designa Week 10: Implementation Phase I Week 11: Implementation Phase II Week 12: Presentation and Reflection

Learning activities and teaching methods
unspecified
Learning outcomes
LS 2024/25: In this course, we look at open-data and open-science for language knowledge through the lens of sustainability. 1. Reducing duplication of effort in data collection and processing. By sharing linguistic data openly, researchers can avoid re-collecting or re-annotating data that already exists, saving time, resources, and money (e.g., the Open Multilingual Wordnet (OMW) reduces the need to independently develop lexical databases for each language. 2. Reusing data for new purposes. Open data allows researchers to use existing linguistic datasets for projects beyond their original scope, enabling interdisciplinary research and innovative applications (e.g., Open archives like ELAR (Endangered Languages Archive) provide access to recordings, transcriptions, and annotations, which linguists and community members can reuse for revitalization projects or language-learning apps. 3. Recycling data for new audiences and uses: adapting old datasets for new contexts, refining their quality, or integrating them into new systems. Old print dictionaries are often digitized, linked with lexical databases like Wordnet, and augmented with additional information (e.g., sound files, example sentences).

Prerequisites
None, but DAS/LTI or DAS/LAC or the equivalent from linguistics (Algorithmic Processing 1) would be useful.

Assessment methods and criteria
unspecified
active participation in class, presentations, project
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Asian Studies, Specialization Indonesian Language and Culture (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Asian Studies (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Asian Studies, Specialization Vietnamese Language and Culture (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Asian Studies, Specialization Korean Language and Culture (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Asian Studies, Specialization Chinese Language and Culture (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Asian Studies, Specialization Japanese Language and Culture (2019) Category: Philological sciences - Recommended year of study:-, Recommended semester: -