Ten Simple Rules for Getting Help from Online Scientific Communities
Abstract
The increasing complexity of research requires scientists to work at the intersection of multiple fields and to face problems for which their formal education has not prepared them. For example, biologists with no or little background in programming are now often using complex scripts to handle the results from their experiments; vice versa, programmers wishing to enter the world of bioinformatics must know about biochemistry, genetics, and other fields. In this context, communication tools such as mailing lists, web forums, and online communities acquire increasing importance. These tools permit scientists to quickly contact people skilled in a specialized field. A question posed properly to the right online scientific community can help in solving difficult problems, often faster than screening literature or writing to publication authors. The growth of active online scientific communities, such as those listed in Table S1, demonstrates how these tools are becoming an important source of support for an increasing number of researchers. Nevertheless, making proper use of these resources is not easy. Adhering to the social norms of World Wide Web communication—loosely termed "netiquette"—is both important and non-trivial. In this article, we take inspiration from our experience on Internet-shared scientific knowledge, and from similar documents such as "Asking the Questions the Smart Way" and "Getting Answers", to provide guidelines and suggestions on how to use online communities to solve scientific problems.
Additional Information
© 2011 Dall'Olio et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published September 29, 2011. GMD is supported by grants SAF-2007-63171 and BFU2010-19443 (subprogram BMC) awarded by Ministerio de Educación y Ciencia (Spain), the Direcció General de Recerca, Generalitat de Catalunya (Grup de Recerca Consolidat 2009 SGR 1101) to JB. KLK is supported by a 2010–2011 Fulbright student research grant to Spain. LJJ is supported by a donation from the Novo Nordisk Foundation. JM is supported by funding from the University of Zurich. MIS is supported by a long-term fellowship from EMBO. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This article has been written collaboratively as an open initiative based on the WikiGenes platform, at the address http://tinyurl.com/ tenrules-onlinecommunities. We would like to thank Robert Hoffmann from the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, for making available the WikiGenes platform and for the support. We would also like to acknowledge Nelson Ndegwa from EMBL-EBI and Daniel Mietchen from University of Jena for contributions to the draft of the manuscript.Attached Files
Published - DallOlio2011p16068Plos_Comput_Biol.pdf
Supplemental Material - journal.pcbi.1002202.s001.doc
Supplemental Material - journal.pcbi.1002202.s002.doc
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Additional details
- PMCID
- PMC3182872
- Eprint ID
- 27353
- Resolver ID
- CaltechAUTHORS:20111021-134514307
- SAF-2007-63171
- Ministerio de Educación y Ciencia (MEC)
- BFU2010-19443
- Ministerio de Educación y Ciencia (MEC)
- 2009 SGR 1101
- Direcció General de Recerca, Generalitat de Catalunya
- Fulbright Foundation
- Novo Nordisk Foundation
- University of Zurich
- European Molecular Biology Organization (EMBO)
- Created
-
2011-10-21Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field