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Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia.
Kilpatrick, Alastair M; Rahman, Farzana; Anjum, Audra; Shome, Sayane; Andalib, K M Salim; Banik, Shrabonti; Chowdhury, Sanjana F; Coombe, Peter; Astroz, Yesid Cuesta; Douglas, J Maxwell; Eranti, Pradeep; Kiran, Aleyna D; Kumar, Sachendra; Lim, Hyeri; Lorenzi, Valentina; Lubiana, Tiago; Mahmud, Sakib; Puche, Rafael; Rybarczyk, Agnieszka; Al Sium, Syed Muktadir; Twesigomwe, David; Zok, Tomasz; Orengo, Christine A; Friedberg, Iddo; Kelso, Janet F; Welch, Lonnie.
Afiliación
  • Kilpatrick AM; Centre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK.
  • Rahman F; Faculty of Science, Engineering and Computing, Kingston University, London, UK.
  • Anjum A; Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd, UK.
  • Shome S; Office of Instructional Innovation, Ohio University, Athens, OH, USA.
  • Andalib KMS; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, USA.
  • Banik S; ISCB Regional Student Group Bangladesh, Dhaka, Bangladesh.
  • Chowdhury SF; Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
  • Coombe P; BCSIR Dhaka Laboratory, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.
  • Astroz YC; Wikipedia Volunteer, San Francisco, CA, USA.
  • Douglas JM; Colombian Institute of Tropical Medicine, CES University, Medellín, Colombia.
  • Eranti P; Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada.
  • Kiran AD; UMRS-1124, INSERM, Université de Paris, Paris, France.
  • Kumar S; Department of Bioengineering, Ege University, Bornova, Turkey.
  • Lim H; IISc Mathematics Initiative, Indian Institute of Science, Bengaluru, India.
  • Lorenzi V; Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Lubiana T; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Mahmud S; European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
  • Puche R; School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
  • Rybarczyk A; Ronin Institute, Montclair, NJ, USA.
  • Al Sium SM; Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna, Bangladesh.
  • Twesigomwe D; Genetics and Forensic Studies Unit, Venezuelan Institute of Scientific Research (IVIC), Caracas, Venezuela.
  • Zok T; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.
  • Orengo CA; BCSIR Dhaka Laboratory, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.
  • Friedberg I; Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
  • Kelso JF; Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Welch L; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.
Bioinformatics ; 38(Suppl 1): i19-i27, 2022 06 24.
Article en En | MEDLINE | ID: mdl-35758800
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article