A Quick Guide for Building a Successful Bioinformatics Community.

Abstract:

"Scientific community" refers to a group of people collaborating together on scientific-research-related activities who also share common goals, interests, and values. Such communities play a key role in many bioinformatics activities. Communities may be linked to a specific location or institute, or involve people working at many different institutions and locations. Education and training is typically an important component of these communities, providing a valuable context in which to develop skills and expertise, while also strengthening links and relationships within the community. Scientific communities facilitate: (i) the exchange and development of ideas and expertise; (ii) career development; (iii) coordinated funding activities; (iv) interactions and engagement with professionals from other fields; and (v) other activities beneficial to individual participants, communities, and the scientific field as a whole. It is thus beneficial at many different levels to understand the general features of successful, high-impact bioinformatics communities; how individual participants can contribute to the success of these communities; and the role of education and training within these communities. We present here a quick guide to building and maintaining a successful, high-impact bioinformatics community, along with an overview of the general benefits of participating in such communities. This article grew out of contributions made by organizers, presenters, panelists, and other participants of the ISMB/ECCB 2013 workshop "The ’How To Guide’ for Establishing a Successful Bioinformatics Network" at the 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 12th European Conference on Computational Biology (ECCB).

SEEK ID: https://publications.h-its.org/publications/738

DOI: 10.1371/journal.pcbi.1003972

Research Groups: Molecular and Cellular Modeling

Publication type: Journal

Journal: PLoS computational biology

Citation: PLoS Comput Biol 11(2):e1003972

Date Published: 5th Feb 2015

Registered Mode: imported from a bibtex file

Authors: Aidan Budd, Manuel Corpas, Michelle D. Brazas, Jonathan C. Fuller, Jeremy Goecks, Nicola J. Mulder, Magali Michaut, B. F. Francis Ouellette, Aleksandra Pawlik, Niklas Blomberg

Citation
Budd, A., Corpas, M., Brazas, M. D., Fuller, J. C., Goecks, J., Mulder, N. J., Michaut, M., Ouellette, B. F. F., Pawlik, A., & Blomberg, N. (2015). A Quick Guide for Building a Successful Bioinformatics Community. In A. Shehu (Ed.), PLOS Computational Biology (Vol. 11, Issue 2, p. e1003972). Public Library of Science (PLoS). https://doi.org/10.1371/journal.pcbi.1003972
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Created: 13th Dec 2019 at 09:42

Last updated: 5th Mar 2024 at 21:24

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