Managing data from multiple disciplines, scales, and sites to support synthesis and modeling

R. J. Olson; J. M. Briggs; J. H. Porter; G. R. Mah; S. G. Stafford

doi:10.1016/S0034-4257(99)00060-7

Managing data from multiple disciplines, scales, and sites to support synthesis and modeling

R. J. Olson
, J. M. Briggs
, J. H. Porter
, G. R. Mah
, S. G. Stafford

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

The synthesis and modeling of ecological processes at multiple spatial and temporal scales involves bringing together and sharing data from numerous sources. This article describes a data and information system model that facilitates assembling, managing, and sharing diverse data from multiple disciplines, scales, and sites to support integrated ecological studies. Cross-site scientific-domain working groups coordinate the development of data associated with their particular scientific working group, including decisions about data requirements, data to be compiled, data formats, derived data products, and schedules across the sites. The Web-based data and information system consists of nodes for each working group plus a central node that provides data access, project information, data query, and other functionality. The approach incorporates scientists and computer experts in the working groups and provides incentives for individuals to submit documented data to the data and information system.

Original language	English (US)
Pages (from-to)	99-107
Number of pages	9
Journal	Remote Sensing of Environment
Volume	70
Issue number	1
DOIs	https://doi.org/10.1016/S0034-4257(99)00060-7
State	Published - Oct 1999
Externally published	Yes

Bibliographical note

Funding Information:
One of the projects examined by NRC as an example of a large integrated ecological study is the First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment (FIFE) funded by NASA (NRC, 1995) . The FIFE project collected intensive remote sensing and field data on a prairie site in Kansas in 1987 and 1989 to better understand fluxes between the land surface and the atmosphere and to develop associated remote-sensing methodologies. The project included 29 teams organized in six disciplinary groups. An extensive collection of FIFE data and metadata were compiled and distributed as a 5-volume CD-ROM set (Strebel et al., 1994a) , and these data are currently available online from the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) World Wide Web home page ( http://www-eosdis.ornl.gov ). The DAAC is the long-term archive for the data. The FIFE information system was also used to demonstrate the implementation of a conceptual framework for scientific information systems (Strebel et al., 1994b) .

Funding Information:
Ideas and experiences from many individuals are incorporated in this article. The authors especially acknowledge the continuing dialog on developing data and information systems within the LTER network of data managers, the DAAC system development, and data centers at ORNL. Comments from three anonymous reviewers are also greatly appreciated. This research was sponsored by the National Aeronautics and Space Administration. ORNL Environmental Sciences Division Pub. No. 4900. ORNL is managed by Lockheed Martin Energy Research Corporation for U.S. Department of Energy under contract DE-AC05-960R22464. The U.S. government retains a non-exclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.

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@article{90899e9259f6489abb172be60e1508c1,

title = "Managing data from multiple disciplines, scales, and sites to support synthesis and modeling",

abstract = "The synthesis and modeling of ecological processes at multiple spatial and temporal scales involves bringing together and sharing data from numerous sources. This article describes a data and information system model that facilitates assembling, managing, and sharing diverse data from multiple disciplines, scales, and sites to support integrated ecological studies. Cross-site scientific-domain working groups coordinate the development of data associated with their particular scientific working group, including decisions about data requirements, data to be compiled, data formats, derived data products, and schedules across the sites. The Web-based data and information system consists of nodes for each working group plus a central node that provides data access, project information, data query, and other functionality. The approach incorporates scientists and computer experts in the working groups and provides incentives for individuals to submit documented data to the data and information system.",

author = "Olson, \{R. J.\} and Briggs, \{J. M.\} and Porter, \{J. H.\} and Mah, \{G. R.\} and Stafford, \{S. G.\}",

note = "Funding Information: One of the projects examined by NRC as an example of a large integrated ecological study is the First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment (FIFE) funded by NASA (NRC, 1995) . The FIFE project collected intensive remote sensing and field data on a prairie site in Kansas in 1987 and 1989 to better understand fluxes between the land surface and the atmosphere and to develop associated remote-sensing methodologies. The project included 29 teams organized in six disciplinary groups. An extensive collection of FIFE data and metadata were compiled and distributed as a 5-volume CD-ROM set (Strebel et al., 1994a) , and these data are currently available online from the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) World Wide Web home page ( http://www-eosdis.ornl.gov ). The DAAC is the long-term archive for the data. The FIFE information system was also used to demonstrate the implementation of a conceptual framework for scientific information systems (Strebel et al., 1994b) . Funding Information: Ideas and experiences from many individuals are incorporated in this article. The authors especially acknowledge the continuing dialog on developing data and information systems within the LTER network of data managers, the DAAC system development, and data centers at ORNL. Comments from three anonymous reviewers are also greatly appreciated. This research was sponsored by the National Aeronautics and Space Administration. ORNL Environmental Sciences Division Pub. No. 4900. ORNL is managed by Lockheed Martin Energy Research Corporation for U.S. Department of Energy under contract DE-AC05-960R22464. The U.S. government retains a non-exclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.",

year = "1999",

month = oct,

doi = "10.1016/S0034-4257(99)00060-7",

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AU - Stafford, S. G.

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AB - The synthesis and modeling of ecological processes at multiple spatial and temporal scales involves bringing together and sharing data from numerous sources. This article describes a data and information system model that facilitates assembling, managing, and sharing diverse data from multiple disciplines, scales, and sites to support integrated ecological studies. Cross-site scientific-domain working groups coordinate the development of data associated with their particular scientific working group, including decisions about data requirements, data to be compiled, data formats, derived data products, and schedules across the sites. The Web-based data and information system consists of nodes for each working group plus a central node that provides data access, project information, data query, and other functionality. The approach incorporates scientists and computer experts in the working groups and provides incentives for individuals to submit documented data to the data and information system.

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Managing data from multiple disciplines, scales, and sites to support synthesis and modeling

Abstract

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