Title |
Community annotation in biology
|
---|---|
Published in |
Biology Direct, February 2010
|
DOI | 10.1186/1745-6150-5-12 |
Pubmed ID | |
Authors |
Raja Mazumder, Darren A Natale, Jessica Anne Ecalnir Julio, Lai-Su Yeh, Cathy H Wu |
Abstract |
Attempts to engage the scientific community to annotate biological data (such as protein/gene function) stored in databases have not been overly successful. There are several hypotheses on why this has not been successful but it is not clear which of these hypotheses are correct. In this study we have surveyed 50 biologists (who have recently published a paper characterizing a gene or protein) to better understand what would make them interested in providing input/contributions to biological databases. Based on our survey two things become clear: a) database managers need to proactively contact biologists to solicit contributions; and b) potential contributors need to be provided with an easy-to-use interface and clear instructions on what to annotate. Other factors such as 'reward' and 'employer/funding agency recognition' previously perceived as motivators was found to be less important. Based on this study we propose community annotation projects should devote resources to direct solicitation for input and streamlining of the processes or interfaces used to collect this input. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 17% |
Brazil | 4 | 8% |
United Kingdom | 3 | 6% |
Germany | 2 | 4% |
Sweden | 1 | 2% |
France | 1 | 2% |
Spain | 1 | 2% |
Portugal | 1 | 2% |
Unknown | 31 | 58% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 38% |
Student > Ph. D. Student | 8 | 15% |
Professor > Associate Professor | 7 | 13% |
Other | 5 | 9% |
Librarian | 3 | 6% |
Other | 5 | 9% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 66% |
Computer Science | 6 | 11% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Immunology and Microbiology | 1 | 2% |
Other | 2 | 4% |
Unknown | 5 | 9% |