Justin Preece

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Justin Preece is an author.


Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Planteome Annotation Wiki: A semantic application for the community curation of Plant genotypes and phenotypes Theory ACM International Conference Proceeding Series English 2012 Two notable trends currently impacting biology curation are 1) the use of wikis to input, store, and disseminate re-search data and 2) the development of semantic technologies to facilitate higher-order data description and exploration. These separate developments, when brought together, have the potential to deliver on one promise of the\semantic web": structured, self-described data used to further scientific research and analysis. The Semantic MediaWiki [5] extension, when used in conjunction with Semantic Forms [4], pro-vides an avenue to create a semantically-driven, community-powered research platform on the web. The Planteome Annotation Wiki implements these technology platforms to provide a user interface for annotation, personal user accounts, a set of previously-curated annotations (i.e. from TAIR [6], Gramene [7], and the Plant Ontology Consortium [3]) and a rigorous semantic data structure. The wiki also dynamically integrates data from other sites via web services. For example, Gene Ontology [2] and Plant Ontology terms, PubMed references and taxonomic data are all available. An import utility accepting large-scale GO Annotation File Format (GAF [1]) data has also been developed, and the wiki provides multi-format import, export, and semantic browsing and search capabilities. Future enhancements include an exploration of semantic inferencing capabilities using ontologies, a curatorial approval mechanism, and further data integration with other biowikis. Copyright 0 0
Planteome annotation wiki: a semantic application for the community curation of plant genotypes and phenotypes SWAT4LS English 2012 0 0
Supporting content curation communities: The case of the Encyclopedia of Life Collaboration
Computer mediated communications
Human-computer interaction
Journal of the American Society for Information Science and Technology English 2012 This article explores the opportunities and challenges of creating and sustaining large-scale "content curation communities" through an in-depth case study of the Encyclopedia of Life (EOL). Content curation communities are large-scale crowdsourcing endeavors that aim to curate existing content into a single repository, making these communities different from content creation communities such as Wikipedia. In this article, we define content curation communities and provide examples of this increasingly important genre. We then follow by presenting EOL, a compelling example of a content curation community, and describe a case study of EOL based on analysis of interviews, online discussions, and survey data. Our findings are characterized into two broad categories: information integration and social integration. Information integration challenges at EOL include the need to (a) accommodate and validate multiple sources and (b) integrate traditional peer reviewed sources with user-generated, nonpeer-reviewed content. Social integration challenges at EOL include the need to (a) establish the credibility of open-access resources within the scientific community and (b) facilitate collaboration between experts and novices. After identifying the challenges, we discuss the potential strategies EOL and other content curation communities can use to address them, and provide technical, content, and social design recommendations for overcoming them. 0 0