Abstract The reuse of existing software assets such as code, architecture, libraries, and modules... more Abstract The reuse of existing software assets such as code, architecture, libraries, and modules in current software and systems development projects can provide many benefits, including reduced costs, in time and effort, and increased reliability. Many reusable assets are currently available in various online catalogs and repositories, usually broken down by disciplines such as programming language (Ibiblio for Maven/Java developers, PyPI for Python developers, CPAN for Perl developers, etc.).
Abstract Over the course of the past year, we have worked to help frame a strategy for NASA and o... more Abstract Over the course of the past year, we have worked to help frame a strategy for NASA and open source software. This includes defining information processes to understand open source licensing, attribution, commerciality, redistribution, communities, architectures, and interactions within the agency.
Abstract Snow cover and its melt dominate regional climate and hydrology in many of the world's m... more Abstract Snow cover and its melt dominate regional climate and hydrology in many of the world's mountainous regions. One-sixth of Earth's population depends on snow-or glacier-melt for water resources. Operationally, seasonal forecasts of snowmelt-generated streamflow are leveraged through empirical relations based on past snowmelt periods. These historical data show that climate is changing, but the changes reduce the reliability of the empirical relations.
A random-force method has been developed to predict dynamic loads produced by rocket-engine rando... more A random-force method has been developed to predict dynamic loads produced by rocket-engine random vibrations for new rocket-engine designs. The method develops random forces at multiple excitation points based on random vibration environments scaled from accelerometer data obtained during hot-fire tests of existing rocket engines.
Abstract The Jet Propulsion Laboratory (JPL) has within the last year initiated an effort to incr... more Abstract The Jet Propulsion Laboratory (JPL) has within the last year initiated an effort to increase the use of its observational data in the improvement and analysis of climate model outputs. This effort, known as the Climate Data eXchange (CDX), is a multi-institutional collaboration involving representatives from JPL and from the Program for Climate Model Diagnosis and Intercomparisions (PCMDI) at Lawrence Livermore National Laboratory (LLNL).
Abstract The Jet Propulsion Laboratory (JPL) has been developing a distributed infrastructure to ... more Abstract The Jet Propulsion Laboratory (JPL) has been developing a distributed infrastructure to supporting access and sharing of Earth Science observational data sets with climate models to support model-to-data intercomparison for climate research. The Climate Data Exchange (CDX), a framework for linking distributed repositories coupled with tailored distributed services to support the intercomparison, provides mechanisms to discover, access, transform and share observational and model output data [2].
Abstract Regional climate models are a fundamental tool needed for downscaling global climate sim... more Abstract Regional climate models are a fundamental tool needed for downscaling global climate simulations and projections, such as those contributing to the Coupled Model Intercomparison Projects (CMIPs) that form the basis of the IPCC Assessment Reports. The regional modeling process provides the means to accommodate higher resolution and a greater complexity of Earth System processes.
Abstract Software reuse has traditionally been a challenging proposition. While the allure of reu... more Abstract Software reuse has traditionally been a challenging proposition. While the allure of reusing software has great appeal to increasing stability and reducing software costs, there has been limited success in building software that can be efficiently reused. In many cases, reuse is limited to the reuse of software expertise or repurposing existing software code.
Abstract The Lunar Mapping and Modeling Project (LMMP), led by the Marshall Space Flight center (... more Abstract The Lunar Mapping and Modeling Project (LMMP), led by the Marshall Space Flight center (MSFC), is responsible for the development of an information system to support lunar exploration, decision analysis, and release of lunar data to the public. The data available through the lunar portal is predominantly derived from present lunar missions (eg, the Lunar Reconnaissance Orbiter (LRO)) and from historical missions (eg, Apollo).
Abstract As the technologies for remote observation improve, the rapid increase in the frequency ... more Abstract As the technologies for remote observation improve, the rapid increase in the frequency and fidelity of those observations translates into an avalanche of data that is already beginning to eclipse the resources, both human and technical, of the institutions and facilities charged with managing the information.
Abstract Climate observations are currently obtained through a diverse network of sensors and pla... more Abstract Climate observations are currently obtained through a diverse network of sensors and platforms that include space-based observatories, airborne and seaborne platforms, and distributed, networked, ground-based instruments. These global observational measurements are critical inputs to the efforts of the climate modeling community and can provide a corpus of data for use in analysis and validation of climate models.
Abstract Climate science data are often distributed cross-institutionally and made available usin... more Abstract Climate science data are often distributed cross-institutionally and made available using heterogeneous interfaces. With respect to observational carbon-dioxide (CO2) records, these data span across national as well as international institutions and are typically distributed using a variety of data standards. Such an arrangement can yield challenges from a research perspective, as users often need to independently aggregate datasets as well as address the issue of data quality.
Abstract Each year destructive events might cause loss of data in members of an archival federati... more Abstract Each year destructive events might cause loss of data in members of an archival federation. This paper provides a 'back-of-the-envelope'model for the fraction of the federated data collection that survives after a certain number of years. It also discusses some simple parameterizations of factors that contribute to the trade offs between cost and survival of information.
Two small words—'big data'—are getting a lot of play across the sciences. Funding agencies, such ... more Two small words—'big data'—are getting a lot of play across the sciences. Funding agencies, such as the National Science Foundation and the National Institutes of Health in the United States, have created million-dollar programmes around the challenges of storing and handling vast data streams. Although these are important, I believe that agencies should focus on developing shared tools for optimizing discovery.
Page 1. 1 Understanding Open Source Software at NASA Chris A. Mattmann1,2, Daniel J. Crichton1, A... more Page 1. 1 Understanding Open Source Software at NASA Chris A. Mattmann1,2, Daniel J. Crichton1, Andrew F. Hart1, Sean C. Kelly1, Cameron E. Goodale1, Robert R. Downs3, Paul Ramirez1, J.
Abstract The detection of fast (< 1 second) transient signals requires a challenging balance betw... more Abstract The detection of fast (< 1 second) transient signals requires a challenging balance between the need to examine vast quantities of high time-resolution data and the impracticality of storing all the data for later analysis. This is the epitome of a “big data” issue—far more data will be produced by next generation-astronomy facilities than can be analyzed, distributed, or archived using traditional methods.
Abstract The climate research community is increasingly interested in utilizing direct, observati... more Abstract The climate research community is increasingly interested in utilizing direct, observational measurements to validate model output in an effort to tune those models to better approximate our planet's dynamic climate. The current emphasis on performing these comparisons at regional, as opposed to global, scales presents challenges both scientific and technical, since regional ecosystems are highly heterogeneous and the available data is not readily consumed on a regional basis.
Abstract For the past decade, the NASA Jet Propulsion Laboratory, in collaboration with Dartmouth... more Abstract For the past decade, the NASA Jet Propulsion Laboratory, in collaboration with Dartmouth University has served as the center for informatics for the Early Detection Research Network (EDRN). The EDRN is a multi-institution research effort funded by the US National Cancer Institute (NCI) and tasked with identifying and validating biomarkers for the early detection of cancer.
Abstract Scientific discovery is largely a collaborative endeavor. From the design and execution ... more Abstract Scientific discovery is largely a collaborative endeavor. From the design and execution of earth and planetary science missions to the evaluation of biomarkers that can identify a particular predisposition to cancer, the scientific community increasingly depends on multi-institutional collaboration as a key enabler of the discovery process. Science data systems, in turn, play a key role in enabling the data-driven collaborative investigations,.
Abstract The reuse of existing software assets such as code, architecture, libraries, and modules... more Abstract The reuse of existing software assets such as code, architecture, libraries, and modules in current software and systems development projects can provide many benefits, including reduced costs, in time and effort, and increased reliability. Many reusable assets are currently available in various online catalogs and repositories, usually broken down by disciplines such as programming language (Ibiblio for Maven/Java developers, PyPI for Python developers, CPAN for Perl developers, etc.).
Abstract Over the course of the past year, we have worked to help frame a strategy for NASA and o... more Abstract Over the course of the past year, we have worked to help frame a strategy for NASA and open source software. This includes defining information processes to understand open source licensing, attribution, commerciality, redistribution, communities, architectures, and interactions within the agency.
Abstract Snow cover and its melt dominate regional climate and hydrology in many of the world's m... more Abstract Snow cover and its melt dominate regional climate and hydrology in many of the world's mountainous regions. One-sixth of Earth's population depends on snow-or glacier-melt for water resources. Operationally, seasonal forecasts of snowmelt-generated streamflow are leveraged through empirical relations based on past snowmelt periods. These historical data show that climate is changing, but the changes reduce the reliability of the empirical relations.
A random-force method has been developed to predict dynamic loads produced by rocket-engine rando... more A random-force method has been developed to predict dynamic loads produced by rocket-engine random vibrations for new rocket-engine designs. The method develops random forces at multiple excitation points based on random vibration environments scaled from accelerometer data obtained during hot-fire tests of existing rocket engines.
Abstract The Jet Propulsion Laboratory (JPL) has within the last year initiated an effort to incr... more Abstract The Jet Propulsion Laboratory (JPL) has within the last year initiated an effort to increase the use of its observational data in the improvement and analysis of climate model outputs. This effort, known as the Climate Data eXchange (CDX), is a multi-institutional collaboration involving representatives from JPL and from the Program for Climate Model Diagnosis and Intercomparisions (PCMDI) at Lawrence Livermore National Laboratory (LLNL).
Abstract The Jet Propulsion Laboratory (JPL) has been developing a distributed infrastructure to ... more Abstract The Jet Propulsion Laboratory (JPL) has been developing a distributed infrastructure to supporting access and sharing of Earth Science observational data sets with climate models to support model-to-data intercomparison for climate research. The Climate Data Exchange (CDX), a framework for linking distributed repositories coupled with tailored distributed services to support the intercomparison, provides mechanisms to discover, access, transform and share observational and model output data [2].
Abstract Regional climate models are a fundamental tool needed for downscaling global climate sim... more Abstract Regional climate models are a fundamental tool needed for downscaling global climate simulations and projections, such as those contributing to the Coupled Model Intercomparison Projects (CMIPs) that form the basis of the IPCC Assessment Reports. The regional modeling process provides the means to accommodate higher resolution and a greater complexity of Earth System processes.
Abstract Software reuse has traditionally been a challenging proposition. While the allure of reu... more Abstract Software reuse has traditionally been a challenging proposition. While the allure of reusing software has great appeal to increasing stability and reducing software costs, there has been limited success in building software that can be efficiently reused. In many cases, reuse is limited to the reuse of software expertise or repurposing existing software code.
Abstract The Lunar Mapping and Modeling Project (LMMP), led by the Marshall Space Flight center (... more Abstract The Lunar Mapping and Modeling Project (LMMP), led by the Marshall Space Flight center (MSFC), is responsible for the development of an information system to support lunar exploration, decision analysis, and release of lunar data to the public. The data available through the lunar portal is predominantly derived from present lunar missions (eg, the Lunar Reconnaissance Orbiter (LRO)) and from historical missions (eg, Apollo).
Abstract As the technologies for remote observation improve, the rapid increase in the frequency ... more Abstract As the technologies for remote observation improve, the rapid increase in the frequency and fidelity of those observations translates into an avalanche of data that is already beginning to eclipse the resources, both human and technical, of the institutions and facilities charged with managing the information.
Abstract Climate observations are currently obtained through a diverse network of sensors and pla... more Abstract Climate observations are currently obtained through a diverse network of sensors and platforms that include space-based observatories, airborne and seaborne platforms, and distributed, networked, ground-based instruments. These global observational measurements are critical inputs to the efforts of the climate modeling community and can provide a corpus of data for use in analysis and validation of climate models.
Abstract Climate science data are often distributed cross-institutionally and made available usin... more Abstract Climate science data are often distributed cross-institutionally and made available using heterogeneous interfaces. With respect to observational carbon-dioxide (CO2) records, these data span across national as well as international institutions and are typically distributed using a variety of data standards. Such an arrangement can yield challenges from a research perspective, as users often need to independently aggregate datasets as well as address the issue of data quality.
Abstract Each year destructive events might cause loss of data in members of an archival federati... more Abstract Each year destructive events might cause loss of data in members of an archival federation. This paper provides a 'back-of-the-envelope'model for the fraction of the federated data collection that survives after a certain number of years. It also discusses some simple parameterizations of factors that contribute to the trade offs between cost and survival of information.
Two small words—'big data'—are getting a lot of play across the sciences. Funding agencies, such ... more Two small words—'big data'—are getting a lot of play across the sciences. Funding agencies, such as the National Science Foundation and the National Institutes of Health in the United States, have created million-dollar programmes around the challenges of storing and handling vast data streams. Although these are important, I believe that agencies should focus on developing shared tools for optimizing discovery.
Page 1. 1 Understanding Open Source Software at NASA Chris A. Mattmann1,2, Daniel J. Crichton1, A... more Page 1. 1 Understanding Open Source Software at NASA Chris A. Mattmann1,2, Daniel J. Crichton1, Andrew F. Hart1, Sean C. Kelly1, Cameron E. Goodale1, Robert R. Downs3, Paul Ramirez1, J.
Abstract The detection of fast (< 1 second) transient signals requires a challenging balance betw... more Abstract The detection of fast (< 1 second) transient signals requires a challenging balance between the need to examine vast quantities of high time-resolution data and the impracticality of storing all the data for later analysis. This is the epitome of a “big data” issue—far more data will be produced by next generation-astronomy facilities than can be analyzed, distributed, or archived using traditional methods.
Abstract The climate research community is increasingly interested in utilizing direct, observati... more Abstract The climate research community is increasingly interested in utilizing direct, observational measurements to validate model output in an effort to tune those models to better approximate our planet's dynamic climate. The current emphasis on performing these comparisons at regional, as opposed to global, scales presents challenges both scientific and technical, since regional ecosystems are highly heterogeneous and the available data is not readily consumed on a regional basis.
Abstract For the past decade, the NASA Jet Propulsion Laboratory, in collaboration with Dartmouth... more Abstract For the past decade, the NASA Jet Propulsion Laboratory, in collaboration with Dartmouth University has served as the center for informatics for the Early Detection Research Network (EDRN). The EDRN is a multi-institution research effort funded by the US National Cancer Institute (NCI) and tasked with identifying and validating biomarkers for the early detection of cancer.
Abstract Scientific discovery is largely a collaborative endeavor. From the design and execution ... more Abstract Scientific discovery is largely a collaborative endeavor. From the design and execution of earth and planetary science missions to the evaluation of biomarkers that can identify a particular predisposition to cancer, the scientific community increasingly depends on multi-institutional collaboration as a key enabler of the discovery process. Science data systems, in turn, play a key role in enabling the data-driven collaborative investigations,.
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