Biocuration: Distilling data into knowledge

doi:10.1371/journal.pbio.2002846

Title: Biocuration: Distilling data into knowledge

Journal Article · 16 April 2018 · PLoS Biology (Online)

DOI: https://doi.org/10.1371/journal.pbio.2002846 · OSTI ID:1559141

International Society for Biocuration

Data, including information generated from them by processing and analysis, are an asset with measurable value. The assets that biological research funding produces are the data generated, the information derived from these data, and, ultimately, the discoveries and knowledge these lead to. From the time when Henry Oldenburg published the first scientific journal in 1665 (Proceedings of the Royal Society) to the founding of the United States National Library of Medicine in 1879 to the present, there has been a sustained drive to improve how researchers can record and discover what is known. Researchers' experimental work builds upon years and (collectively) billions of dollars' worth of earlier work. Today, researchers are generating data at ever-faster rates because of advances in instrumentation and technology, coupled with decreases in production costs. Unfortunately, the ability of researchers to manage and disseminate their results has not kept pace, so their work cannot achieve its maximal impact. Strides have recently been made, but more awareness is needed of the essential role that biological data resources, including biocuration, play in maintaining and linking this ever-growing flood of data and information. The aim of this paper is to describe the nature of data as an asset, the role biocurators play in increasing its value, and consistent, practical means to measure effectiveness that can guide planning and justify costs in biological research information resources' development and management.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Contributing Organization:: International Society for Biocuration

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1559141

Journal Information:: PLoS Biology (Online), Vol. 16, Issue 4; ISSN 1545-7885

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 42 works

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tagtog: interactive and text-mining-assisted annotation of gene mentions in PLOS full-text articles Cejuela, J. M.; McQuilton, P.; Ponting, L. Database, Vol. 2014, Issue 0 https://doi.org/10.1093/database/bau033	journal	January 2014
Value, but high costs in post-deposition data curation ten Hoopen, Petra; Amid, Clara; Luigi Buttigieg, Pier Database, Vol. 2016 https://doi.org/10.1093/database/bav126	journal	January 2016
Overview of the interactive task in BioCreative V Wang, Qinghua; S. Abdul, Shabbir; Almeida, Lara Database, Vol. 2016 https://doi.org/10.1093/database/baw119	journal	January 2016
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Natural Language Processing in aid of FlyBase curators Karamanis, Nikiforos; Seal, Ruth; Lewin, Ian BMC Bioinformatics, Vol. 9, Issue 1 https://doi.org/10.1186/1471-2105-9-193	journal	January 2008
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Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data McMurry, Julie A.; Juty, Nick; Blomberg, Niklas PLOS Biology, Vol. 15, Issue 6 https://doi.org/10.1371/journal.pbio.2001414	journal	June 2017
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Ten quick tips for biocuration Tang, Y. Amy; Pichler, Klemens; Füllgrabe, Anja PLOS Computational Biology, Vol. 15, Issue 5 https://doi.org/10.1371/journal.pcbi.1006906	journal	May 2019
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ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature Pourreza Shahri, Morteza; Kahanda, Indika 2020 IEEE 14th International Conference on Semantic Computing (ICSC) https://doi.org/10.1109/icsc.2020.00081	conference	February 2020
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