AIST Capabilities and Needs Database
Last Revised: June 2008

The AIST Capability and Needs Matrix has identified several goals for the technology development. They are:

Goal
Description
A Increase science data value by responding to dynamic science using autonomy
B Coordinate multiple observations for synergistic science
C Improve interdisciplinary science production environments
D Improve access, storage and delivery of large data volumes
E Improve system interoperability and use of standards
F Decrease mission risk and cost through use of autonomy and automation

Click on the links to view a description of the selected issue by AIST needs category.

Record Number
AIST Needs
1
2
3
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5

1 Data Collection and Handling

Goal ID Goal (Primary, Secondary) Need ID Technology Needs
A, B Increase science data value by responding to dynamic science using autonomy
Coordinate multiple observations for synergistic science
1.A.1 On-board processing to support autonomous command and control
A Increase science data value by responding to dynamic science using autonomy 1.A.2 Adaptive on-board science data processing
A Increase science data value by responding to dynamic science using autonomy 1.A.3 On-board high performance processing
A Increase science data value by responding to dynamic science using autonomy 1.A.4 Increase read-write efficiency of on-board data storage
B Coordinate multiple observations for synergistic science 1.B.1 Autonomous in-situ and remote sensing data collection and management
B Coordinate multiple observations for synergistic science 1.B.2 On-board high speed networks and buses; spacecraft as a node in a constellation, network or sensor web
D Improve access, storage, and delivery of large data volumes 1.D.1 Automated data quality assessment & management, including data quality ontologies
E Improve system interoperability and use of standards 1.E.1 Use and creation of standards to improve reliability, maintainability and interoperability of sensor hardware and software
F Decrease mission risk and cost through use of autonomy and automation 1.F.1 Improve fault handling (detection and correction)

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2 Transmission and Dissemination

Goal ID Goal (Primary, Secondary) Need ID Technology Needs
A Increase science data value by responding to dynamic science using autonomy 2.A.1 Automated link negotiation and management (predictive routing)
A Increase science data value by responding to dynamic science using autonomy 2.A.2 Automated service discovery and mediation
A Increase science data value by responding to dynamic science using autonomy 2.A.3 Automated data link quality assessment (QoS, BER) and management
A Increase science data value by responding to dynamic science using autonomy 2.A.4 Enable reconfigurable intersatellite network links
B Coordinate multiple observations for synergistic science 2.B.1 Automated data tagging (source, type, etc) for dissemination, using standards
D Improve access, storage, and delivery of large data volumes 2.D.1 On-board high fidelity data compression and / or error correction techniques
D Improve access, storage, and delivery of large data volumes 2.D.2 Quality of Service (QoS) techniques for space communication and network topology
D Improve access, storage, and delivery of large data volumes 2.D.3 Increase efficiency and capacity of space-to-ground links
D Improve access, storage, and delivery of large data volumes 2.D.4 Methods to ensure reliable transmission of large data sets across multiple ground stations
D Improve access, storage, and delivery of large data volumes
Increase science data value by responding to dynamic science using autonomy
2.D.5 Advanced on-board techniques for efficient data transmission, including uploads of large files (model results)
E, D Improve system interoperability and use of standards
Improve access, storage, and delivery of large data volumes
2.E.1 Extend network protocols to space and mobile devices

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3 Data & Information Production

Goal ID Goal (Primary, Secondary) Need ID Technology Needs
C, A Improve interdisciplinary science production environments
Increase science data value by responding to dynamic science using autonomy
3.C.1 Dynamic data validation of questionable-quality data (i.e. separate faulty data from outlier data) by new data acquisition
C, E Improve interdisciplinary science production environments
Improve system interoperability and use of standards
3.C.2 Improve data quality via provenance, lineage, integrity, validation, accountability
C, F Improve interdisciplinary science production environments
Decrease mission risk and cost through use of autonomy and automation
3.C.3 Autonomous assimilation of new data & new data sources into global numerical models (address issues associated w/ data quality, calibration, staleness, etc.)
C Improve interdisciplinary science production environments 3.C.4 High performance processing for data production
C Improve interdisciplinary science production environments 3.C.5 Automatic code generation of processing algorithms
D Improve access, storage, and delivery of large data volumes 3.D.1 Develop architectures for high-speed, high-volume, high-performance data storage that address data security and resilience
D Improve access, storage, and delivery of large data volumes 3.D.2 Exploit commercial database technologies for spatial, temporal and spectral data handling
D Improve access, storage, and delivery of large data volumes 3.D.3 Improve system engineering & architectural design of end-to-end system for data production and use of existing analysis and visualization systems
D Improve access, storage, and delivery of large data volumes 3.D.4 Improved data product and workflow management for integrated data products
D Improve access, storage, and delivery of large data volumes 3.D.5 Tools enabling space/ground data processing trades and real-time reconfiguration
E Improve system interoperability and use of standards 3.E.1 Create an extensible, evolvable framework supporting interoperability standards to create interdisciplinary models and/or custom data processing systems
E Improve system interoperability and use of standards 3.E.2 Technologies that enable interoperability between data production, storage, archive, and analysis systems

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4 Search, Access, Analysis & Display

Goal ID Goal (Primary, Secondary) Need ID Technology Needs
B Coordinate multiple observations for synergistic science 4.B.1 Improved tools and support for science data fusion
C Improve interdisciplinary science production environments 4.C.1 Service architecture for invoking data management (search, browse, order) and data processing (subsetting, compression, products on demand, reformatting, reprojection, data mining)
C Improve interdisciplinary science production environments 4.C.2 Knowledge management (capture, representation, categorization and use and reuse of Earth Science knowledge)
C Improve interdisciplinary science production environments 4.C.3 Improve techniques for publishing and subscription services to enable real-time applications
C Improve interdisciplinary science production environments 4.C.4 Develop products that are highly-responsive to user access needs and resources from hand-held devices to large modeling and archive facilities
C Improve interdisciplinary science production environments 4.C.5 Optimize use of Web GIS spatial analysis techniques for earth science data
C Improve interdisciplinary science production environments 4.C.6 Enable automated analysis tools and techniques
C Improve interdisciplinary science production environments 4.C.7 Techniques to facilitate customized application-oriented data and information services
C Improve interdisciplinary science production environments 4.C.8 Tools to allow users to make concept level queries, and along with the results, also show other related products that might be relevant
C Improve interdisciplinary science production environments 4.C.9 Optimize presentation of data and information
C, E Improve interdisciplinary science production environments
Improve system interoperability and use of standards
4.C.10 Problem solving environments leveraging commercial products and public domain environments, enabling use of common toolsets for data processing
D Improve access, storage, and delivery of large data volumes 4.D.1 High performance processing and interconnects for analysis and display
D Improve access, storage, and delivery of large data volumes 4.D.2 Improved responsiveness of data services to science users
D Improve access, storage, and delivery of large data volumes 4.D.3 Support earth science applications requiring real-time information
D Improve access, storage, and delivery of large data volumes 4.D.4 Techniques to facilitate physical and logical queries and/or access mechanisms for multi-disciplinary Earth science data
D Improve access, storage, and delivery of large data volumes 4.D.5 Improved tools and support for warehousing, data mining and knowledge discovery

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5 Systems Management

Goal ID Goal (Primary, Secondary) Need ID Technology Needs
A Increase science data value by responding to dynamic science using autonomy 5.A.1 Goal-directed science data mgmt i.e., automatically task sensor web & corresponding gnd components to reconfigure for on-demand event or model predictions; includes bottom-up (analysis driven) and top-down (user request driven) goals
E Improve system interoperability and use of standards 5.E.1 Standard sensor representation for interoperability
E Improve system interoperability and use of standards 5.E.2 Leverage/ develop service-oriented architecture (SOA) and middleware including semantic web for interoperability
E, B Improve system interoperability and use of standards
Coordinate multiple observations for synergistic science
5.E.3 Interoperability among multiple planning and scheduling systems for diverse elements
B Coordinate multiple observations for synergistic science 5.B.1 Develop sensor web control mechanisms (standards) to allow appropriate allocation of sensor and processing resources among users with competing needs
F Decrease mission risk and cost through use of autonomy and automation 5.F.1 Autonomous update or retasking of system element(s) in response to an error detection
F Decrease mission risk and cost through use of autonomy and automation 5.F.2 Automate data system operation and monitoring, scheduling, and control
F, B Decrease mission risk and cost through use of autonomy and automation
Coordinate multiple observations for synergistic science
5.F.3 Robust, adaptive on-board and ground planning and scheduling techniques
F Decrease mission risk and cost through use of autonomy and automation 5.F.4 Tools to assist development of complex Earth science processing
F Decrease mission risk and cost through use of autonomy and automation 5.F.5 Techniques to manage scalability issues related to performance and accuracy in processing, data fusion, storage and access
F Decrease mission risk and cost through use of autonomy and automation 5.F.6 Services providing on-board dynamic resource management for efficient use of available computing resources
F Decrease mission risk and cost through use of autonomy and automation 5.F.7 Techniques to assure security for NASA data and sensor resource in distributed networked systems

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