The research data landscape: an overview - Oya Rieger, Cornell University
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Transcript of The research data landscape: an overview - Oya Rieger, Cornell University
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Vision for Open Research Data
Oya Y. Rieger
Cornell University Library
June 2012, Copenhagen
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Research involves the systematic collection and analyses of information to
increase our understanding of the phenomenon under study
source: flicker.com
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Scholarly communication involves the creation, exchange, and dissemination of knowledge within the context of
academic discourse.
Research
Data Collection
Authoring
Presenting
Publishing
Dissemination
Archiving
Preservation
Analysis
Interpretation
Sharing
Networking
KNOWLEDGE
CREATION
?
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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
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http://data.research.cornell.edu
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http://data.research.cornell.edu
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Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)
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Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)
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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?
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The Loon Project (Funded by NSF)
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flickr.com
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http://www1.chapman.edu/~wpiper/index.html
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http://ecommons.library.cornell.edu/handle/1813/13098
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http://ecommons.library.cornell.edu/handle/1813/13098
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Carrol
http://ecommons.library.cornell.edu/handle/1813/17040
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http://www.cornell.edu/video/index.cfm?VideoID=1166
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Loon Project
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technical informational
organizational sociocultural
usability
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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
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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
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information policies
• information policies to support:
– IPR
– privacy
– confidentiality
– institutional ownership
– security
– access limitations
– retention and deaccessioning
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organizational infrastructure
• business and sustainability plans
• governance models
• recognition and engagement of stakeholders
• collaboration strategies
• communication and marketing strategies
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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
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technical informational
organizational sociocultural
usability