2014
DOI: 10.22230/src.2014v5n4a193
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Iter Community: Prototyping an Environment for Social Knowledge Creation and Communication

Abstract: This article focuses on the features and challenges of Iter Community (IC), a new collaborative research environment which aims to aid social knowledge creation for the communities that have formed around Iter’s discovery tools and publication platforms. The underlying vision of IC as a flexible environment for communication, exchange, and collaboration is explained via the history and conceptual framework of IC, preliminary details concerning its infrastructure and features, and a brief examina… Show more

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Cited by 3 publications
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“…Overall, Borgman synthesizes the various aspects of contemporary scholarship and reflects on the increasingly pervasive digital environment. + Bowen, William R., Matthew Hiebert, and Constance Crompton. 2014.…”
Section: Association Of Universities and Colleges Of Canada-canadian mentioning
confidence: 99%
“…Overall, Borgman synthesizes the various aspects of contemporary scholarship and reflects on the increasingly pervasive digital environment. + Bowen, William R., Matthew Hiebert, and Constance Crompton. 2014.…”
Section: Association Of Universities and Colleges Of Canada-canadian mentioning
confidence: 99%
“…For instance, Canada Research Chair in Collaborative Digital Scholarship Susan Brown leads the Linked Infrastructure for Networked Cultural Scholarship (LINCS) project (https://lincsproject.ca), which is working toward a pan-Canadian networked linked data infrastructure for research (Brown and Simpson 2014;Brown and Simpson 2015). Iter Community (https://itercommunity.org) is an evolving collaborative research environment that aims to facilitate social knowledge creation practices for communities that use Iter's discovery tools and publication platforms (Bowen, Hiebert, and Crompton 2014;Hiebert, Bowen, and Siemens 2015). The Social Media Engine is a tool that extracts topics from research articles of a given corpus and matches them to ongoing social media discussions (Meneses, Arbuckle, Lopez et al 2019).…”
mentioning
confidence: 99%