The research data landscape: an overview - Oya Rieger, Cornell University
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The research data landscape: an overview - Oya Rieger, Cornell University

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OpenAIREplus workshop - “Linking Open Access publications to data – policy development and implementation” (June 11, 2012)

OpenAIREplus workshop - “Linking Open Access publications to data – policy development and implementation” (June 11, 2012)

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    The research data landscape: an overview - Oya Rieger, Cornell University The research data landscape: an overview - Oya Rieger, Cornell University Presentation Transcript

    • Vision for Open Research Data Oya Y. Rieger Cornell University Library rieger@cornell.edu June 2012, Copenhagen
    • Research involves the systematic collection and analyses of information to increase our understanding of the phenomenon under study source: flicker.com
    • Scholarly communication involves the creation, exchange, and dissemination of knowledge within the context of academic discourse. Analysis Interpretation ? Authoring Presenting Research Data Collection KNOWLEDGE CREATION Sharing Networking Archiving Preservation Publishing Dissemination
    • Access to Research Data • • • • • • • • support open scientific inquiry encourage diversity of hypotheses & data analysis encourage interdisciplinary research provide greater returns for public investment in research facilitate the education of new researchers foster downstream commercialization of outputs support studies on data collection & analysis methods engage public in science Arzberger et al., “Promoting Access to Public Research Data for Scientific, Economic, and Social Development.” Data Science Journal, 3/29, 2004
    • http://data.research.cornell.edu
    • http://data.research.cornell.edu
    • Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)
    • txt doc xls jpeg Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)
    • What might prevent you from sharing the data you have produced or intend to produce for this project? Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)
    • The Loon Project (Funded by NSF)
    • flickr.com
    • http://www1.chapman.edu/~wpiper/index.html
    • http://ecommons.library.cornell.edu/handle/1813/13098
    • http://ecommons.library.cornell.edu/handle/1813/13098
    • Carrol http://ecommons.library.cornell.edu/handle/1813/17040
    • http://www.cornell.edu/video/index.cfm?VideoID=1166
    • Loon Project
    • technical informational usability organizational sociocultural
    • technical infrastructure • scalable and flexible systems to store, discover, access, and archive content • interoperability standards to link related information objects and various types of repositories • metadata standards to facilitate discovery, access, archiving, and repurposing
    • sociocultural issues • community-based standards for deposit, use, and maintenance of data • different access provisions in support of academic, and entrepreneurial requirements • incentives and rewards for scientists to share the outputs of their research endeavors
    • information policies • information policies to support: – IPR – privacy – confidentiality – institutional ownership – security – access limitations – retention and deaccessioning
    • organizational infrastructure • • • • • business and sustainability plans governance models recognition and engagement of stakeholders collaboration strategies communication and marketing strategies
    • usability • data quality standards • ease of deposit to encourage end-users • tools to support analytics, mining, integration, and visualization • digital identifiers to persistently locate • citation standards to reference resources • metrics to track and communicate impact
    • technical informational usability organizational sociocultural