101. Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia
- Author
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Kilpatrick, A., Rahman, F., Anjum, A., Shome, S., Andalib, K., Banik, S., Chowdhury, S., Coombe, P., Astroz, Y., Douglas, J., Eranti, P., Kiran, A., Kumar, S., Lim, H., Lorenzi, V., Lubiana, T., Mahmud, S., Puche, R., Rybarczyk, A., Sium, A., Muktadir, S., Twesigomwe, D., Zok, T., Orengo, C., Friedberg, I., Kelso, J., https://orcid.org/0000-0002-3618-322X, and Welch, L.
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Statistics and Probability ,Computational Mathematics ,Computational Theory and Mathematics ,Perceptions ,Cluster Analysis ,Computational Biology ,Molecular Biology ,Biochemistry ,computer ,Computer Science Applications - Abstract
30th Annual Conference on Intelligent Systems for Molecular Biology (ISMB) -- JUL 10-14, 2022 -- Madison, WI, Motivation Wikipedia is one of the most important channels for the public communication of science and is frequently accessed as an educational resource in computational biology. Joint efforts between the International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology (a group of expert Wikipedia editors) have considerably improved computational biology representation on Wikipedia in recent years. However, there is still an urgent need for further improvement in quality, especially when compared to related scientific fields such as genetics and medicine. Facilitating involvement of members from ISCB Communities of Special Interest (COSIs) would improve a vital open education resource in computational biology, additionally allowing COSIs to provide a quality educational resource highly specific to their subfield. Results We generate a list of around 1500 English Wikipedia articles relating to computational biology and describe the development of a binary COSI-Article matrix, linking COSIs to relevant articles and thereby defining domain-specific open educational resources. Our analysis of the COSI-Article matrix data provides a quantitative assessment of computational biology representation on Wikipedia against other fields and at a COSI-specific level. Furthermore, we conducted similarity analysis and subsequent clustering of COSI-Article data to provide insight into potential relationships between COSIs. Finally, based on our analysis, we suggest courses of action to improve the quality of computational biology representation on Wikipedia., Harvard Medical School Master of Biomedical Informatics (MBI) Program; ISCB, We thank ISCB CEO Diane E. Kovats and ISCB Student Council members Nazeefa Fatima, Aishwarya Alex and Bart Cuypers for their support in organizing the 2021 ISCB SCS Wikipedia Hackathon. We thank the ISCB and the Harvard Medical School Master of Biomedical Informatics (MBI) Program for sponsoring the hackathon. We thank Aparna Chauhan and Nusrat Jahan Lily for hackathon participation, Russell Schwartz for useful discussion and Alex Bateman and ISMB reviewers for manuscript comments.
- Published
- 2022
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