ATTACHMENT ONE.pdf
PDF 77 KB Posted
- Attached to
- Program Evaluations
- Solicitation number
- 97499 O3
- Issued by
- Lancaster County, Nebraska
About this file
This document is an attachment to a state and local contract opportunity issued by the Department of Health and Human Services (DHHS) Public Health in the state of Nebraska. The contract seeks to evaluate the Nebraska Comprehensive Cancer Control Program (NE CCCP), a CDC grant funded program that works to design and implement strategic plans to prevent and control cancer in the state. The evaluation includes identifying business SMEs, conducting interviews, documenting business capabilities and requirements, cataloging reporting and analytics users, providing conceptual and logical data models, and securing security and privacy maps. The contract opportunity is based in Lancaster County, Nebraska.
The document does not provide pricing terms, set asides, incumbent information, funding details, or other salient commercial terms. The focus is on the technical and functional requirements for the program evaluation, including data sources, data definitions, data lineage, and technical platform and infrastructure details.
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Text version
ATTACHMENT 1
MLTC Process Evaluation Structure
Architecture Task
Business Business Vision
Identify business SMEs Conduct business interview(s) Draft business process work flows Document business capabilities and requirements Record business pain points and information gaps Delineate data quality and system deficiency issues
Analytics Identify reporting and analytic SMEs
Conduct interview(s) Draft applications and interfaces inventory
Inventory operational reports Generate operational reports source-to-target mappings Inventory analytical reports and source-to-target mappings Generate analytical reports source-to-target mappings Compose data heat/utilization map Catalog reporting and analytics user listing
Data Sources Identify data/technical SMEs Conduct data interview(s)
Document data requirements, standards, and policies Record data quality and integrity practices Provide conceptual data model Provide logical data model Provide physical data model Outline data lineage Data definitions Data file layouts Data reference lookups Catalog data source user listing
Technical Identify SMEs Conduct interview(s)
Acquire platform and infrastructure diagrams Secure security and privacy maps Procure data operations and archival scheme Obtain disaster recovery plan
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