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Licensing of Published Datasets and Scripts

Field Details
Date 15 July 2026
Time 14:00 - 15:30
Location House of Prominence, Attic (Top floor), Luxemburger Str. 299, Cologne
Speakers TBC
Prerequisites None
Materials status Slides are available.
Slides / recording HTML slides

Overview

This session focuses on educating linguistics researchers about general data and coding licensing issues. We will explore the differences between open source software licenses and open data/content licenses, providing practical guidance on selecting appropriate licenses for different research outputs.

Learning Objectives

  • Understand what licenses are available for datasets, code, and teaching materials
  • Determine which licenses are recommendable for specific academic use cases and why
  • Distinguish between open source licenses and open data / content licenses
  • Apply licensing principles to practical cases involving GitHub, OSF, repositories, and supplementary materials

Topics Covered

Introduction to Licensing in Research

  • The necessity of explicit licensing for scientific reproducibility
  • Key concepts of copyright and licensing

Open Source vs. Open Data Licenses

  • Software licenses (e.g., MIT, GPL, LGPL)
  • Data/Content licenses (e.g., CC BY, ODC-By)
  • Code: Permissive vs. Copyleft
  • Data: CC0, CC BY
  • Teaching materials: CC BY-SA

Practical Case Study

  • Code licensing and dependency conflicts (e.g., GPL-2 vs. LGPLv3)
  • Data licensing bifurcation (e.g., restricted data vs. open software)
  • Using the ConversationAlign package as an example
  • GitHub and OSF licensing
  • Journal supplementary materials

Materials

Additional Resources