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The Local Goes Global. How do data come to be shared?. Ann Zimmerman Research Assistant Professor ASIST Data Summit, April 10, 2010. Data collections Research Community Reference. Why is it hard to share data? Why is data sharing more common in some fields than others?. Science-based. - PowerPoint PPT Presentation
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Ann Zimmerman1075 Beal Ave.Ann Arbor, MI 48109-2112asz@@umich.edu
The Local Goes GlobalHow do data come to be shared?
Ann ZimmermanResearch Assistant Professor
ASIST Data Summit, April 10, 2010
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Data collections
•Research•Community•Reference
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Local project
Share Publish Create Reference Collection
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
• Why is it hard to share data?
• Why is data sharing more common in some fields than others?
Science-based
Technical
Organizational
Social
Legal
Political
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Implications
• Who is involved
• What count as data
• What gets shared
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Step 1: Scientist publishes a a paper in a journal.
Step 2: A data curator scans journals for data, extracts data and descriptive information, and enters
it all into a computer.
Step 3: Data are integrated with other data into one database and made available to anyone via the
Internet.
Step 4: Other people use the data. They provide input that results in additions of new types of data or
corrections to the database.
Step 1: Scientist publishes a a paper in a journal.
Step 2: Scientist submits the data associated with the paper to a repository as a requirement of
publication.
Step 3: Data are integrated with other data into one database and made available to anyone via the
Internet.
Step 4: Other people use the data. They provide input that results in additions of new types of data or
corrections to the database.
Step 1: Individuals get together to decide upon standard data
collection protocols.
Step 2: Every laboratory uses the agreed upon methods to collect data.
Step 3: Data are integrated and made available to anyone via the
Internet.
Step 4: Other people use the data. They provide input that influences how new data are collected or that
result in corrections to existing data.
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Implications
• Who is involved
• What count as data
• What gets shared
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Materials science data
ImagesGraphsSpectraColumns of numbers
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Shared Needs
• Long term access to data
• Finding data later
• Understanding the context of the data to use it in a meaningful way
• Accessing data, and information about data, from multiple locations
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Open Questions• What makes it hard to share data?
• How does the “state” of data affect sharing?
• What makes documentation sufficient for reuse?
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Developing Capacity• Open Data IGERT (Margaret
Hedstrom) http://opendata.si.umich.edu
• “i-School” Masters programs
Ann Zimmerman1075 Beal AvenueAnn Arbor, MI [email protected]
Acknowledgments• Data Summit organizers & attendees
• Research participants
• Dharma Akmon & Morgan Daniels, PhD students, UM School of Information
• NSF Grants OCI 0724300 and IIS 0085981 (Gary Olson, PI)
