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Data Collection and Management Flashcards

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  1. What is the primary purpose of a Cost Data Requirements (CDR) clause in a DoD contract?

    Answer: To require contractors to submit actual cost data so the government can validate estimates and track performance

    CDR clauses obligate contractors to provide actual cost data in a standardized format, giving the government visibility into incurred costs for future estimating and oversight.

  2. Which DoD database is the primary repository for contractor cost and software data collected under CSDR reporting requirements?

    Answer: DACIMS (Defense Automated Cost Information Management System)

    DACIMS stores Cost and Software Data Reporting (CSDR) submissions from contractors, making them available to cost analysts government-wide for historical reference.

  3. What does CSDR stand for in DoD cost data reporting?

    Answer: Cost and Software Data Reporting

    CSDR is the DoD framework requiring contractors on major programs to submit standardized actual cost, software metrics, and technical data to support future estimates.

  4. Which type of CSDR report captures recurring and non-recurring costs broken down by cost element and work breakdown structure?

    Answer: Contractor Cost Data Report (CCDR)

    The CCDR (DD Form 1921 series) provides a detailed WBS-based breakdown of actual contractor costs and is the cornerstone of DoD cost data collection.

  5. What is 'data normalization' when building a historical cost database for Army programs?

    Answer: The process of adjusting historical cost data to a common basis (base year, quantity, scope) for valid cross-program comparison

    Normalization removes extraneous factors—inflation, quantity differences, scope variations—so that data points from different programs can be compared and used in cost models.

  6. What is the main challenge of using 'analogous data' from a prior program for a new Army cost estimate?

    Answer: Differences in technical complexity, quantity, schedule, and inflation require extensive adjustments to make the analogy valid

    Analogous data must be carefully scrubbed and adjusted for differences in scope, technology, schedule, and time period before it is a reliable basis for a new estimate.