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Case History of Survey of Doctorate Recipients, 2015-2023
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The Case History of Survey of Doctorate Recipients, 2015-2023 data file supersedes the 2021 and earlier Case History and SDR-DRF files. It combines case disposition data for all cases sampled from the 2015 SDR sample and from subsequent rounds, with all non-personally identifiable information available for these cases from the SDR’s frame, the Doctorate Records Files (DRF). The DRF source used to create this file is the 2023 DRF (NOID2023), the cumulative file created from the annual census of research doctorates, the Survey of Earned Doctorates (SED). In the 2023 DRF, all geo-coded variables conform to the NCSES’s updated Taxonomy of Geographic Areas (TOGA), used in the 2023 SDR.
NCSES is updating their data linkage policy to better meet the data linkage needs of NCSES and external researchers. Currently, NCSES does not support researcher access to direct Personally Identifiable Information (PII). NCSES encourages researchers interested in developing an SAP application that includes linking NCSES restricted data to non-NCSES data sources to contact NCSES at NCSES_Licensing@nsf.gov to assess feasibility and appropriateness.
This dataset is available through the NCSES Secure Data Access Facility (SDAF), a virtual enclave that can only be accessed within the United States.
Identification and Summary
- SDR Case History-DRF
The Case History of Survey of Doctorate Recipients, 2015-2023 data file supersedes the 2021 and earlier Case History and SDR-DRF files. It combines case disposition data for all cases sampled from the 2015 SDR sample and from subsequent rounds, with all non-personally identifiable information available for these cases from the SDR’s frame, the Doctorate Records Files (DRF). The DRF source used to create this file is the 2023 DRF (NOID2023), the cumulative file created from the annual census of research doctorates, the Survey of Earned Doctorates (SED). In the 2023 DRF, all geo-coded variables conform to the NCSES’s updated Taxonomy of Geographic Areas (TOGA), used in the 2023 SDR.
NCSES is updating their data linkage policy to better meet the data linkage needs of NCSES and external researchers. Currently, NCSES does not support researcher access to direct Personally Identifiable Information (PII). NCSES encourages researchers interested in developing an SAP application that includes linking NCSES restricted data to non-NCSES data sources to contact NCSES at NCSES_Licensing@nsf.gov to assess feasibility and appropriateness.
This dataset is available through the NCSES Secure Data Access Facility (SDAF), a virtual enclave that can only be accessed within the United States.
- National Center for Science and Engineering Statistics
- National Institutes of Health