Category: Opportunity
DoD Communities Of Interest: Big Data
Subject: Data Ingestion and Management
Due Date: July 31, 2022
Government Organization: U.S. Army Engineer Research and Development Center (ERDC)
Description:
Data Ingestion and Management
Technology Area(s): data ingestion; conversion; inferencing; infrastructure; utilities; facilities; modeling; simulation; analysis; data fusion
Description: ERDC seeks to improve capabilities and methodologies for enabling users of an installation operations and planning tool to efficiently provide, transform and fuse legacy data sources (e.g., local standard data, non-standardized CAD or GIS files, map scans in PDF, legacy spreadsheets with numeric and text data, etc.) with modern data and analytics. Solutions should enable users to efficiently upload data from their local machine to a service available on an IL-5 government cloud-hosted service and have the solution detect the appropriate file types, categories, themes, and extract and populate metadata about the legacy data source. The solution should provide the ability to accurately and quickly transform the legacy data source into a hosted data store and format that preserves original source content and conforms to applicable standards (e.g., SDSFIE, BIM, etc.) as much as possible. The solution should preserve as much spatial information (e.g., latitude, longitude, height, elevation, dimensions, etc.) and textual information (e.g., identifiers, labels, materials, model numbers, etc.) as possible and embed this information in the applicable files or fields. The solution may infer the meaning of labels within data based on label content and/or how labels are organized across data layers or files.
The solution may infer facility footprints, walls, doors, windows, openings, and mechanical indicators. The solution may attempt to validate inferences if information from different sources is available (e.g., multiple files with varying information on the same facility or installation). The solution should attempt or aid in associating information across sources (e.g., mechanical data records and facility numbers from structured data sources, joined with spatial maps with facility numbers, and CAD records with facility mechanical locations). The solution may provide quality control/assurance processes and demarcate data quality status (e.g., original, inferred, validated, etc.).
Processed data will become part of an installation data representation. The solution should support user and administrator ability to manage appropriate data access controls and facilitate data discovery. Responses to this need may address all or portions of this description.
Website: https://www.erdcwerx.org/cso-areas-of-interest.html#InstallationDataManagement
Questions or assistance, contact:
North Carolina Defense Technology Transition Office (DEFTECH)
Dennis Lewis
lewisd@ncmbc.us
703-217-3127
Bob Burton
burtonr@ncmbc.us
910-824-9609
North Carolina Defense Technology Transition Office | PO Box 1748, Fayetteville, NC 28303