http://www.bibsonomy.org/burst/tag/collaborationBibSonomy BuRST Feed for /tag/collaboration2008-05-17T11:35:21+02:00Amazon.de: Computer-Supported Cooperative Work (Interaktive Medien): Tom Gross,Michael Koch,Michael Herczeg: Bücherhttp://www.bibsonomy.org/bibtex/27b0cc601a74014355558e341af2db438/griesbaugriesbau2008-05-13T18:58:52+02:00collaboration community cscw cvk <span style="color:#555555;">Tom <a href="http://www.bibsonomy.org/author/Gross">Gross</a> und Michael <a href="http://www.bibsonomy.org/author/Koch">Koch</a> </span><em>Oldenbourg, </em>(<em>2007</em>)Computer-Supported Cooperative Work (Interaktive Medien)2007collaborationcommunitycscwcvkAmazon.de: Computer-Supported Cooperative Work (Interaktive Medien): Tom Gross,Michael Koch,Michael Herczeg: Bücherhttp://www.bibsonomy.org/bibtex/27b0cc601a74014355558e341af2db438/cvkhildesheimcvkhildesheim2008-05-13T18:58:09+02:00collaboration community cscw cvk <span style="color:#555555;">Tom <a href="http://www.bibsonomy.org/author/Gross">Gross</a> und Michael <a href="http://www.bibsonomy.org/author/Koch">Koch</a> </span><em>Oldenbourg, </em>(<em>2007</em>)Computer-Supported Cooperative Work (Interaktive Medien)2007collaborationcommunitycscwcvkWhen do researchers collaborate? Toward a model of collaboration propensityhttp://www.bibsonomy.org/bibtex/27768bfea38e80c833a600e5439850264/pitmanpitman2008-05-06T01:58:52+02:00authors collaboration <span style="color:#555555;">Jeremy P. <a href="http://www.bibsonomy.org/author/Birnholtz">Birnholtz</a> </span><em>J. Am. Soc. Inf. Sci. Technol.</em><em>58(14):2226--2239</em>(<em>2007</em>)New York, NY, USAJ. Am. Soc. Inf. Sci. Technol.142226--2239When do researchers collaborate? Toward a model of collaboration propensity582007authorscollaborationWhat does it mean to be an author? The intersection of credit, contribution, and collaboration in sciencehttp://www.bibsonomy.org/bibtex/227d4587c66a567ab2cda43eca72c2e40/pitmanpitman2008-05-06T01:56:39+02:00authors authorship collaboration contribution credit <span style="color:#555555;">Jeremy P. <a href="http://www.bibsonomy.org/author/Birnholtz">Birnholtz</a> </span><em>J. Am. Soc. Inf. Sci. Technol.</em><em>57(13):1758--1770</em>(<em>2006</em>)New York, NY, USAJ. Am. Soc. Inf. Sci. Technol.131758--1770What does it mean to be an author? The intersection of credit, contribution, and collaboration in science572006authorsauthorshipcollaborationcontributioncreditIn this article, I draw on interview data gathered in the High Energy Physics (HEP) community to address recent problems stemming from collaborative research activity that stretches the boundaries of the traditional scientific authorship model. While authorship historically has been attributed to individuals and small groups, thereby making it relatively easy to tell who made major contributions to the work, recent collaborations have involved hundreds or thousands of individuals. Printing all of these names in the author list on articles can mean difficulties in discerning the nature or extent of individual contributions, which has significant implications for hiring and promotion procedures. This also can make collaborative research less attractive to scientists at the outset of a project. I discuss the issues that physicists are considering as they grapple with what it means to be “an author,” in addition to suggesting that future work in this area draw on the emerging economics literature on “mechanism design” in considering how credit can be attributed in ways that both ensure proper attribution and induce scientists to put forth their best effort. © 2006 Wiley Periodicals, Inc.http://www.bibsonomy.org/bibtex/2706583653fa16f3a894040b76d8c8d44/amanshakyaamanshakya2008-05-04T14:43:02+02:00RDFa Structureddata collaboration concept consolidation linkeddata semanticweb socialsoftware socialweb <span style="color:#555555;">Aman <a href="http://www.bibsonomy.org/author/Shakya">Shakya</a> und Hideaki <a href="http://www.bibsonomy.org/author/Takeda">Takeda</a> und Vilas <a href="http://www.bibsonomy.org/author/Wuwongse">Wuwongse</a> </span><em>Proceedings of the Social Web and Knowledge Management Workshop (SWKM 2008), </em><em>Seite33-40. </em><em>Beijing, China, </em><em>April2008. </em><em>Located at the 17th World Wide Web Conference (WWW2008) . </em>Beijing, ChinaProceedings of the Social Web and Knowledge Management Workshop (SWKM 2008)AprilLocated at the 17th World Wide Web Conference (WWW2008)33-40StYLiD: Social Information Sharing with Free Creation of Structured Linked Data2008RDFaStructureddatacollaborationconceptconsolidationlinkeddatasemanticwebsocialsoftwaresocialwebInformation sharing can be effective with structured data. The Semantic Web is mainly aimed at structuring information by creating widely accepted ontologies. However, users have different preferences and evolving requirements. It is not practical to attempt perfect schema definitions with strict constraints. Creating structured formats should be a collaborative and evolutionary process. Social software motivates wide participation by providing easy interface. We propose a system called StYLiD for sharing a wide variety of structured information. Users freely define their own structured concepts. The system consolidates different versions defined by different users. The attributes of the different concept versions are aligned semi-automatically into a single unified view. Popular concepts gradually emerge from the concept cloud and stabilize. Concept definitions are flexible. An attribute value can take a literal or a resource URI and the suggestive range does not constrain the contributors. StYLiD generates unique dereferenceable URIs so that data items can form a linked data web. Structured data is embedded in machine readable form using RDFa. Search and browsing features are provided to utilize the structured data and consolidated concepts.http://www.bibsonomy.org/bibtex/2a408a5339e6a20dc8cc928a00b2d1bdf/smichasmicha2008-04-28T13:05:01+02:00Adversarial collaboration <span style="color:#555555;">Ian <a href="http://www.bibsonomy.org/author/Bateman">Bateman</a> und Daniel <a href="http://www.bibsonomy.org/author/Kahneman">Kahneman</a> und Alistair <a href="http://www.bibsonomy.org/author/Munro">Munro</a> und Chris <a href="http://www.bibsonomy.org/author/Starmer">Starmer</a> und Robert <a href="http://www.bibsonomy.org/author/Sugden">Sugden</a> </span><em>Journal of Public Economics</em><em>89(8):1561--1580</em><em>Aug2005. </em>Journal of Public EconomicsAug81561--1580Testing competing models of loss aversion: an adversarial collaboration892005AdversarialcollaborationPhysica Ahttp://www.bibsonomy.org/bibtex/282880e4d29e0d0ae1b0c41ee52fc403e/smichasmicha2008-04-22T10:36:30+02:00Collaboration network <span style="color:#555555;">Hui <a href="http://www.bibsonomy.org/author/Chang">Chang</a> und Bei-Bei <a href="http://www.bibsonomy.org/author/Su">Su</a> und Yue-Ping <a href="http://www.bibsonomy.org/author/Zhou">Zhou</a> und Da-Ren <a href="http://www.bibsonomy.org/author/He">He</a> </span><em>Physica A: Statistical Mechanics and its Applications</em><em>383(2):687--702</em><em>Sep2007. </em>Physica A: Statistical Mechanics and its ApplicationsSep2687--702Assortativity and act degree distribution of some collaboration networks3832007Collaborationnetwork15tagging, communities, vocabulary, evolutionhttp://www.bibsonomy.org/bibtex/2582641c05e7a0b9396945a951822c83f/ewomantewomant2008-04-21T15:37:41+02:00collaboration community folksonomy motivation <span style="color:#555555;">Shilad <a href="http://www.bibsonomy.org/author/Sen">Sen</a> und Shyong K. <a href="http://www.bibsonomy.org/author/Lam">Lam</a> und Al Mamunur <a href="http://www.bibsonomy.org/author/Rashid">Rashid</a> und Dan <a href="http://www.bibsonomy.org/author/Cosley">Cosley</a> und Dan <a href="http://www.bibsonomy.org/author/Frankowski">Frankowski</a> und Jeremy <a href="http://www.bibsonomy.org/author/Osterhouse">Osterhouse</a> und F. <a href="http://www.bibsonomy.org/author/Maxwell Harper">Maxwell Harper</a> und John <a href="http://www.bibsonomy.org/author/Riedl">Riedl</a> </span><em>CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, </em><em>Seite181--190. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)New York, NY, USACSCW &#039;06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work181--190tagging, communities, vocabulary, evolution2006collaborationcommunityfolksonomymotivationA tagging community&#039;s vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms &#039;effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.KNICOPhttp://www.bibsonomy.org/bibtex/26364ecf00e085f7aed6c594d46b91688/xckukxckuk2008-04-13T15:33:20+02:00Case_Study CoP Collaboration Community_Building Community_of_Practice Face-to-Face Internet-Based_Technologies Meetings Non-Governmental_Organization Non-Profit_Organization Online_Community Public_Administration Public_Sector Social_Networks Technology_and_Social_Issues Trust Virtual_Communities Volunteers <span style="color:#555555;">Nancy <a href="http://www.bibsonomy.org/author/White">White</a> </span><em>Knowledge Networks: Innovation through Communities of Practice, </em><em>chapter 23, </em><em>IGI Global, </em><em>Hershey, PA, </em>(<em>2004</em>)Hershey, PAKnowledge Networks: Innovation through Communities of Practice23282--294Click Connect and Coalesce For NGOs: Exploring the Intersection between Online Networks, CoPs and Events2004Case_StudyCoPCollaborationCommunity_BuildingCommunity_of_PracticeFace-to-FaceInternet-Based_TechnologiesMeetingsNon-Governmental_OrganizationNon-Profit_OrganizationOnline_CommunityPublic_AdministrationPublic_SectorSocial_NetworksTechnology_and_Social_IssuesTrustVirtual_CommunitiesVolunteersThis chapter notes the shift of focus from &#034;online communities&#034; to more purposeful and focused online groups, including distributed Communities of Practice (CoPs). The author identifies the value of CoPs for Non Governmental and Non Profit organizations, suggests that CoPs are formed, stimulated and supported by catalysts, and are richer when contained within larger, more diffuse networks of people.KNICOPhttp://www.bibsonomy.org/bibtex/29a96db4011f590a48bebce3362500173/xckukxckuk2008-04-13T15:33:20+02:00CoP Collaboration Community_Building Community_of_Practice Expert_Seeking Explicit_Knowledge IS_Design_Issues IT_Platform KM Knowledge Knowledge_Base Knowledge_Management Knowledge_Process Knowledge_Sharing Management_Issues Networks_of_Practice Organizational_Learning Set_of_Guidelines Tacit <span style="color:#555555;">Kimberly Lopez Wesley C. <a href="http://www.bibsonomy.org/author/Vestal">Vestal</a> </span><em>Knowledge Networks: Innovation through Communities of Practice, </em><em>chapter 13, </em><em>IGI Global, </em><em>Hershey, PA, </em>(<em>2004</em>)Hershey, PAKnowledge Networks: Innovation through Communities of Practice13142--149Best Practices: Developing Communities That Provide Business Value2004CoPCollaborationCommunity_BuildingCommunity_of_PracticeExpert_SeekingExplicit_KnowledgeIS_Design_IssuesIT_PlatformKMKnowledgeKnowledge_BaseKnowledge_ManagementKnowledge_ProcessKnowledge_SharingManagement_IssuesNetworks_of_PracticeOrganizational_LearningSet_of_GuidelinesTacitOrganizations continually look for ways to do more with less. One of the most important methods today for helping improve the company bottom line involves linking experts in Communities of Practice to find, share and validate best practices, ideas and solutions. This chapter examines how several best-practice organizations select Communities of Practice, provide support for their ongoing work, develop specialized roles to sustain their efforts, and use technology to bolster the rich tacit knowledge exchange offered by these entities. APQC has also developed a list of critical success factors for Communities of Practice and questions to help organizations develop those factors from its research on Knowledge Management over the last 8 years.