Community Intelligence in Knowledge Curation: An Application to Managing Scientific Nomenclature

Dai, Lin; Xu, Chao; Tian, Ming; Sang, Jian; Zou, Dong; Li, Ang; Liu, Guocheng; Chen, Fei; Wu, Jiayan; Xiao, Jingfa; Wang, Xumin; Yu, Jun; Zhang, Zhang

doi:10.1371/journal.pone.0056961

Cited by 7 publications

(3 citation statements)

References 33 publications

(13 reference statements)

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“…Science Wikis (http://bigd.big.ac.cn/sciencewikis) is a catalog of biological knowledge wikis that are built based on MediaWiki (a free and open-source software wiki package) or wiki concept, with the aim to harness community intelligence in knowledge integration and curation. The current release of Science Wikis has six bio-wikis, including LncRNAWiki (17), RiceWiki (18), ESND (19), WikiCell (20), ICG (21) and one new resource Database Commons that is based on wiki concept. In the past year, the major updates of Science Wikis are as follows.…”

Section: Updated Resourcesmentioning

confidence: 99%

Database Resources of the BIG Data Center in 2019

Zhang¹,

Zhao²,

Xiao³

et al. 2018

Nucleic Acids Research

Self Cite

133

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The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible at http://bigd.big.ac.cn.

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Section: Updated Resourcesmentioning

confidence: 99%

Database Resources of the BIG Data Center in 2019

Zhang¹,

Zhao²,

Xiao³

et al. 2018

Nucleic Acids Research

Self Cite

133

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“…We test these predictions using data that we have collected on articles in the English-language Wikipedia, the “free encyclopedia that anyone can edit” (en.wikipedia.org). Wikipedia is currently attracting considerable attention as an example of open knowledge production and organization system [ 37 , 38 ], and as an empirical setting for studying how network structure affects knowledge creation [ 39 ], and knowledge search strategies [ 40 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Knowledge categorization affects popularity and quality of Wikipedia articles

Lerner

Lomi

2018

PLoS ONE

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The existence of a shared classification system is essential to knowledge production, transfer, and sharing. Studies of knowledge classification, however, rarely consider the fact that knowledge categories exist within hierarchical information systems designed to facilitate knowledge search and discovery. This neglect is problematic whenever information about categorical membership is itself used to evaluate the quality of the items that the category contains. The main objective of this paper is to show that the effects of category membership depend on the position that a category occupies in the hierarchical knowledge classification system of Wikipedia—an open knowledge production and sharing platform taking the form of a freely accessible on-line encyclopedia. Using data on all English-language Wikipedia articles, we examine how the position that a category occupies in the classification hierarchy affects the attention that articles in that category attract from Wikipedia editors, and their evaluation of quality of the Wikipedia articles. Specifically, we show that Wikipedia articles assigned to coarse-grained categories (i. e., categories that occupy higher positions in the hierarchical knowledge classification system) garner more attention from Wikipedia editors (i. e., attract a higher volume of text editing activity), but receive lower evaluations (i. e., they are considered to be of lower quality). The negative relation between attention and quality implied by this result is consistent with current theories of social categorization, but it also goes beyond available results by showing that the effects of categorization on evaluation depend on the position that a category occupies in a hierarchical knowledge classification system.

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“…Science Wikis ( http://bigd.big.ac.cn/sciencewikis ) is a series of biological knowledge wikis that are built based on wiki technology or wiki concept to harness collective intelligence in community curation—allowing any user to create/edit any content, accordingly featuring community-contributed contents, low cost for maintenance and broader content coverage. The current release of Science Wikis consists of five wiki-based databases (including LncRNAWiki ( 26 ), RiceWiki ( 27 ), ESND ( 28 ), WikiCell ( 29 ), and one new database, ICG) as well as several wiki extensions that achieve customized functionalities, such as AuthorReward ( 30 ) that quantifies users contribution in biological wikis and provides explicit authorship as a reward. Over the past year, the major updates of Science Wikis are as follows.…”

Section: Recent Updatesmentioning

confidence: 99%

Database Resources of the BIG Data Center in 2018

Xu¹,

Hao²,

Zhu³

et al. 2017

Nucleic Acids Research

Self Cite

116

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The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides freely open access to a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of omics data generated at ever-greater scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big-data integration and value-added curation, including BioCode (a repository archiving bioinformatics tool codes), BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Gene Expression Nebulas (GEN, a database of gene expression profiles based on RNA-Seq data), Methylation Bank (MethBank, an integrated databank of DNA methylomes), and Science Wikis (a series of biological knowledge wikis for community annotations). In addition, three featured web services are provided, viz., BIG Search (search as a service; a scalable inter-domain text search engine), BIG SSO (single sign-on as a service; a user access control system to gain access to multiple independent systems with a single ID and password) and Gsub (submission as a service; a unified submission service for all relevant resources). All of these resources are publicly accessible through the home page of the BIG Data Center at http://bigd.big.ac.cn.

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Community Intelligence in Knowledge Curation: An Application to Managing Scientific Nomenclature

Cited by 7 publications

References 33 publications

Database Resources of the BIG Data Center in 2019

Database Resources of the BIG Data Center in 2019

Knowledge categorization affects popularity and quality of Wikipedia articles

Database Resources of the BIG Data Center in 2018

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