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Appendix G: Summary of Data Processing Steps for Findings on DoD Funding of Institutions of Higher Education for Fiscal Years 20102020
Pages 209-218

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From page 209...
... Although the document does include a detailed list as part of the appendixes, the overall focus is on summarizing the steps of the inquiry at a high level and therefore does not include precise technical details. For the exact steps taken, please refer to the accompanying programming script written in R
From page 210...
... Although this source presented the best available data on grants and contracts awarded to institutions of higher education, both in terms of the breadth of available awards and institutions, there were several limiting factors that impacted data quality or increased the processing time: Federal obligations: The most reliable measure of the amount of money spent during a period of performance was the federal obligation amount. However, this amount often does not represent the actual amount paid by a federal entity considering it may not reflect changes in the award, or may represent an early estimate of the cost of the award.
From page 211...
... This became evident after examining the initial data pull using the "award search" interface, which allows the user to filter the available data using keywords, years, and categories. The initial data pull selected the following filter: • Fiscal years: 2010–2020 • Awarding agency: Department of Defense (DoD)
From page 212...
... IPEDS institutional characteristics7 were used to consolidate recipient organization names and link the transaction dataset to other supplementary datasets. IPEDS institutional characteristics included the Data Universal Numbering 3  https://ncses.nsf.gov/pubs/nsf21314#data-tables 4  https://www.nsf.gov/awardsearch/advancedSearchResult?
From page 213...
... that was used as an additional resource to assist with consolidating recipient organization names. All available DUNS numbers of institutions from the transaction dataset that were not otherwise identified via IPEDS were uploaded to Hoovers, which matched the DUNS numbers to organization names if they were available in their database.
From page 214...
... Obtain endowment/state funding dataset iii. Obtain number of STEM degrees conferred dataset iv.
From page 215...
... Obtain research facilities dataset iii. Obtain R&D personnel dataset 4.
From page 216...
... or a total funding amount across several institutions, sub-award and prime award amounts were "collapsed" within each cell. Specifically, when calculating the cell value, if any IDs were found to identify both a prime award and sub-award amount, the sub-award amount was removed prior to the calculation of the total or median cell value.
From page 217...
... A convenience method was used to make a comparison group for the the top 25 HBCUs in DoD funding. In particular, for each level of Carnegie classification, a median value for number of R&D personnel, R&D graduate students, and the average number of R&D principal investigators was computed based on institutions in each of the 2nd and 3rd quartiles of the total amount of DoD funding in FY 2010 through FY 2020.


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