Abstract
Various aspects of Scientific Annotation Middleware (SAM), a set of component and services that support the creation and use of annotation metadata describing data objects and the semantic relationship among them, are discussed. SAM captures aspects of data processing history and the research process and federates the results into a coherent human- and machine-interpretable research record. It is suggested that SAM enables composite scientific data management systems that can efficiently meet the needs of next-generation science.
Original language | English |
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Pages (from-to) | 44-50 |
Number of pages | 7 |
Journal | Computing in Science and Engineering |
Volume | 5 |
Issue number | 3 |
DOIs | |
State | Published - May 2003 |
Funding
We acknowledge Elena Mendoza and Michael Peterson of Pacific Northwest National Laboratory’s Computational Science and Mathematics Division for their respective contributions to the initial design discussions for SAM’s metadata management services and for testing, debugging, and packaging ELN version 5.0. We also acknowledge the Collaboratory for Multiscale Chemical Science (CMCS) project team for extremely helpful feedback. The US Department of Energy supported this work through the DOE2000 program. Employees of Battelle Memorial Institute, which operates Pacific Northwest National Laboratory for the US Department of Energy under Contract DE-AC06-76RL0 1830 and Oak Ridge National Laboratory under Contract DE-AC05-84OR21400, wrote this manuscript.
Funders | Funder number |
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US Department of Energy | DE-AC06-76RL0 1830 |
Oak Ridge National Laboratory | DE-AC05-84OR21400 |