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Abstract Detail

Digitized natural history collections records in traditional research, collaborative research, and big data research

Vieglais, Dave [1].

DataONE - Enabling Long-Term Archive and Reuse of Data for the Earth Sciences.

A significant volume of data is being re-collected to support further analyses on previously described and analyzed scenarios. Such repeat collection is expensive and time consuming, though is necessary because the original data are not available or the metadata describing the data is not sufficient to enable reuse. Even when data are submitted to a departmental, or even institutional digital repository, those data may be lost should be repository fail or be deprecated.The Data Observation Network for Earth (DataONE) is a project funded under the NSF DataNet program with the goal of enabling the long term re-use of scientific data, especially within the broad domains of the earth sciences. DataONE provides infrastructure that enables collaboration between many digital repositories ("Member Nodes"), with content in any repository replicated to several others. In this manner, data are still accessible should any repository go temporarily or even permanently offline. The collaboration is facilitated by "Coordinating Nodes" which are operated by DataONE, and have the role of collating, tracking, and indexing data held by the Member Nodes. Content available through the DataONE federation is very heterogeneous, ranging from small sets of vegetation plot data or observations through to satellite imagery with global coverage.A general overview of DataONE will be provided, with particular emphasis on some of the unique challenges presented by managing biodiversity data such as specimen records in such a heterogeneous system.

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Related Links:
DataONE Project

1 - University of Kansas, Biodiversity Institute, 1345 Jayhawk Blvd, Lawrence, KS, 66045-7593, USA

data management
earth sciences

Presentation Type: Symposium or Colloquium Presentation
Session: SY05
Location: Snake/Boise Centre
Date: Tuesday, July 29th, 2014
Time: 11:15 AM
Number: SY05009
Abstract ID:338
Candidate for Awards:None

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