Closing the computational biology ‘knowledge gap’: Spanish Wikipedia as a case study

Author:

Sélem-Mojica Nelly1,Karakulak Tülay23ORCID,Anjum Audra4ORCID,Pashkov Antón5,Pérez-Estrada Rafael5,Enriquez-Guillén Karina5,DeBlasio Dan6ORCID,Ferreira-Gonzalez Sofia78ORCID,Medina-Rivera Alejandra9,Rodrigo-Torres Daniel7ORCID,Kilpatrick Alastair M7ORCID,Welch Lonnie R10,Rahman Farzana11ORCID

Affiliation:

1. Centro de Ciencias Matemáticas, Universidad Nacional Autónoma de México , Morelia, 58089, Mexico

2. Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich , Zurich, 8057, Switzerland

3. Department of Pathology and Molecular Pathology, University Hospital Zurich , Zurich, 8091, Switzerland

4. Office of Instructional Design, Ohio University , Athens, OH, 45701, United States

5. Escuela Nacional de Estudios Superiores (ENES) Unidad Morelia, Universidad Nacional Autónoma de México , Morelia, 58190, Mexico

6. Ray and Stephanie Lane Computational Biology Department, Carnegie Mellon University , Pittsburgh, PA, 15213, United States

7. Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh , Edinburgh, EH16 4UU, United Kingdom

8. Centre for Inflammation Research, Institute for Regeneration and Repair , The University of Edinburgh , Edinburgh, EH16 4UU, United Kingdom

9. Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México , Juriquilla, 76230, Mexico

10. School of Electrical Engineering and Computer Science, Ohio University , Athens, OH, 45701, United States

11. School of Computer Science and Mathematics, Faculty of Engineering, Computing and the Environment, Kingston University , London, KT1 2EE, United Kingdom

Abstract

Abstract Motivation Wikipedia is a vital open educational resource in computational biology. The quality of computational biology coverage in English-language Wikipedia has improved steadily in recent years. However, there is an increasingly large ‘knowledge gap’ between computational biology resources in English-language Wikipedia, and Wikipedias in non-English languages. Reducing this knowledge gap by providing educational resources in non-English languages would reduce language barriers which disadvantage non-native English speaking learners across multiple dimensions in computational biology. Results Here, we provide a comprehensive assessment of computational biology coverage in Spanish-language Wikipedia, the second most accessed Wikipedia worldwide. Using Spanish-language Wikipedia as a case study, we generate quantitative and qualitative data before and after a targeted educational event, specifically, a Spanish-focused student editing competition. Our data demonstrates how such events and activities can narrow the knowledge gap between English and non-English educational resources, by improving existing articles and creating new articles. Finally, based on our analysis, we suggest ways to prioritize future initiatives to improve open educational resources in other languages. Availability and Implementation Scripts for data analysis are available at: https://github.com/ISCBWikiTeam/spanish.

Funder

The Bioinformatics Laboratory, School of EECS

Ohio University

Publisher

Oxford University Press (OUP)

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