Scientific Data Management
Scientific data management is critical to advanced research in
many areas of science and engineering. Today’s computational
and scientific techniques are capable of generating large amounts
of highly complex data which must be effectively preserved and
managed for future analysis and distribution. A key characteristic
of scientific data is the highly dynamic nature of the data and
data schema. This raises significant data management issues which
traditional approaches to data management can’t cost-effectively
address.To ensure the production of high-quality data sets, we
involve scientists in the data management process from project
inception to completion. This involvement is achieved without distracting
the scientists from their primary research and in fact, this partnership
allows them to focus on research. By insuring proper metadata collection,
and data management throughout the scientific process, this paradigm
maximizes project return by improving the quality, understanding,
and availability of data to other scientists and end-users.
Through our long-term involvement in the operation of national
and international scientific data centers, and co-location with
researchers at Oak Ridge National Laboratory, we have broad expertise
in the arena of scientific data management and have developed technologies
to efficiently provide data management, data archival, and state-of-the-art
data delivery to the scientific community.
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