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:
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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.
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Record Number
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AIST Needs
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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) |
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 |
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 |
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 |
| 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 |