ArticleNucleic acids research2012
Making your database available through Wikipedia: the pros and cons.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Article
- Article
- ncVarDB: a manually curated database for pathogenic non-coding variants and benign controls.Database : the journal of biological databases and curation · 2020Article
- Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2020Review
- Crowdsourcing in biomedicine: challenges and opportunities.Briefings in bioinformatics · 2016Review
- Crowdsourcing and mining crowd data.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2015Article
- LncRNAWiki: harnessing community knowledge in collaborative curation of human long non-coding RNAs.Nucleic acids research · 2015Article
- The 2015 Nucleic Acids Research Database Issue and molecular biology database collection.Nucleic acids research · 2015Article
- Highlights of the 1st Student Symposium of the ISCB RSG UK.F1000Research · 2015Article
- iPfam: a database of protein family and domain interactions found in the Protein Data Bank.Nucleic acids research · 2014Article
- RiceWiki: a wiki-based database for community curation of rice genes.Nucleic acids research · 2014Article
- AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification.Bioinformatics (Oxford, England) · 2013Article
- Dynamic integration of biological data sources using the data concierge.Health information science and systems · 2013Article
- Community intelligence in knowledge curation: an application to managing scientific nomenclature.PloS one · 2013Article
- Darned in 2013: inclusion of model organisms and linking with Wikipedia.Nucleic acids research · 2013Article
- Topic pages: PLoS Computational Biology meets Wikipedia.PLoS computational biology · 2012Article
- The 2012 Nucleic Acids Research Database Issue and the online Molecular Biology Database Collection.Nucleic acids research · 2012Article
- Low budget analysis of Direct-To-Consumer genomic testing familial data.F1000Research · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Wikipedia, the online encyclopedia, is the most famous wiki in use today. It contains over 3.7 million pages of content; with many pages written on scientific subject matters that include peer-reviewed citations, yet are written in an accessible manner and generally reflect the consensus opinion of the community. In this, the 19th Annual Database Issue of Nucleic Acids Research, there are 11 articles that describe the use of a wiki in relation to a biological database. In this commentary, we discuss how biological databases can be integrated with Wikipedia, thereby utilising the pre-existing infrastructure, tools and above all, large community of authors (or Wikipedians). The limitations to the content that can be included in Wikipedia are highlighted, with examples drawn from articles found in this issue and other wiki-based resources, indicating why other wiki solutions are necessary. We discuss the merits of using open wikis, like Wikipedia, versus other models, with particular reference to potential vandalism. Finally, we raise the question about the future role of dedicated database biocurators in context of the thousands of crowdsourced, community annotations that are now being stored in wikis.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.