Rule-Based Analytic Asset Management for Space Exploration Systems (RAMSES), Phase I

Metadata Updated: May 2, 2019

Currently, the state-of-the-art in space asset tracking and information management is bar-coding with relational database support. To support NASA's need for reliable and low-cost asset management, Payload Systems Inc. and MIT propose to develop Rule-based Analytic Asset Management for Space Exploration Systems (RAMSES) ? an intelligent space exploration environment in which information is shared and automatically harmonized among disparate data sources. This information is then combined with mathematical models and rule-based analysis to produce meaningful data for asset tracking and intelligent decisions. The combined data will communicate with analytic models that provide analyses, estimates, predictions and plans. This intelligent space exploration environment will be equipped with sensors, radio frequency identification (RFID) equipment and sophisticated information infrastructures to make full use of multiple data streams.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_10083
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id 290acf61-db31-4b5f-877d-ca1ff29cdc8b
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2007-01-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 077f970c385ea1dd65185d8cb7ad9d78b56c4c1e
Source Schema Version 1.1

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