{"id":530,"date":"2021-10-23T06:51:32","date_gmt":"2021-10-23T10:51:32","guid":{"rendered":"https:\/\/www.bu.edu\/ciss\/?page_id=530"},"modified":"2026-06-05T08:58:42","modified_gmt":"2026-06-05T12:58:42","slug":"data-resources","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/ciss\/opportunities\/data-resources\/","title":{"rendered":"Data Resources"},"content":{"rendered":"

Visit this page regularly for updates on data resources and archives.<\/p>\n

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DataHub targets the Growing Scale and Complexity of Health Data<\/span><\/b><\/span><\/p>\n

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While the health sector is generating unprecedented volumes of digital data -fragmented systems, regulatory complexity and technical barriers often make it difficult for researchers to efficiently discover, access, and connect data across disciplines.\u00a0BU’s Center for Health Data Science (CHDS) has launched DataHub<\/b><\/a>\u00a0<\/b><\/a>to help researchers navigate those obstacles,<\/b><\/a>\u00a0making it easier for researchers to work with data in rigorous, collaborative, and responsible ways.<\/span><\/p>\n

<\/strong><\/a>Add Health<\/strong><\/h3>\n
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The following data are now available to Add Health contract researchers.\u00a0<\/span><\/p>\n

The\u00a0Rural-Urban Commuting Area (RUCA) Codes<\/span><\/strong>
\nRural-urban commuting area (RUCA) codes classify U.S. census tracts using measures of population density, urbanization, and daily commuting. The data file including them is based on RUCA codes for census years 1990, 2000, and 2010. The rationale for and utility of acquiring RUCA codes, assigning them to census geographies in which Add Health respondents have resided over three decades. N=97,700<\/span><\/p>\n

Add Health Sample Member Birth Records Database<\/span><\/strong>
\nBirth record data was collected from participating states for AHSM birth years, 1974-83. When these states provided birth data for all recorded births occurring during that time interval, an AHSM-specific subset was created using Link Plus, a statistical linkage software developed by the U.S. Centers for Disease Control and Prevention (CDC), Cancer Division. One participating state performed its own AHSM linkages and provided Add Health with the linked subset of births. Add Health then performed transformations on all of the original data from the participating states to create the categorical variables present in this release. N=2,750<\/span><\/p>\n

Aircraft Noise Measures<\/b><\/span>
\n<\/span>Day-Night Level (DNL) Noise Exposures from 90 Major Airports\u00a0<\/span>data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned\/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=83,357<\/span><\/p>\n

Equivalent Sound Level for a 15-Hour Day (LAEQD) Noise Exposures from 90 Major Airports<\/strong>\u00a0data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned\/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=73,174<\/span><\/p>\n

Equivalent Sound Level for a 9-Hour Night (LAEQN) Noise Exposures from 90 Major Airports<\/strong> data\u00a0<\/span>contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned\/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=57,886<\/span><\/p>\n

Proxies for Aircraft Noise from Other Airports<\/strong>:\u00a0<\/span>Airport Counts data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned\/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=166,195<\/span>
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Proxies for Aircraft Noise from Other Airports<\/strong>:\u00a0<\/span>Mean Distances data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned\/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=256,318<\/span><\/p>\n

Proxies for Aircraft Noise from Other Airports<\/strong>:\u00a0<\/span>Mean Total Enplanements data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned\/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=250,740<\/span><\/p>\n

Mortality Surveillance<\/span><\/strong>
\nIndividual Vital Status and Underlying Cause of Death File, 2022
\nThis file contains one record for each of the 20,745 Add Health sample members from Wave I. It provides the vital status of each sample member through 2022 as well as the National Death Index-provided underlying cause of death code in ICD-10 format for each decedent. The month and year of the most recent Add Health interview are provided for living sample members, while the month and year of death are provided for decedents. N=20,745<\/span><\/p>\n

Ordered Cause of Death File, 2022<\/span><\/strong><\/span>
\nThis file contains entity- and record-axis codes reported by the National Death Index (NDI) for each decedent in the Add Health sample through 2022. The file is arranged hierarchically, by axis code; therefore, each decedent may have multiple records depending on the maximum number of entity- and record-axis codes recorded by NDI. The sequence of the decedent\u2019s records reflects the order in which the entity- and record-axis codes were reported in the NDI record. N=2,377<\/span><\/p>\n

All Coded Causes of Death File, Including Entity-Axis Codes, 2022<\/span><\/strong><\/span>
\nThis file contains all underlying cause of death and entity-axis codes appearing in the National Death Index (NDI) source file through 2022. Functioning as dummy variables, zero represents the absence of a code on the decedent\u2019s death certificate, while one denotes the presence of one. N=706<\/span><\/p>\n

All Coded Causes of Death File, Including Record-Axis Codes, 2022<\/b><\/span><\/span>
\n<\/span><\/b>This file contains all underlying cause of death and record-axis codes appearing in the National Death Index (NDI) source file through 2022. Functioning as dummy variables, zero represents the absence of a code on the decedent\u2019s death certificate, while one denotes the presence of one.\u00a0 N=706<\/span><\/p>\n

Contextual Heterosexism Database-Phase 1<\/span><\/strong>
\nContextual Heterosexism Database-Phase 1 (CHD1), further expands the collection of contextual data available to users of The National Longitudinal Study of Adolescent to Adult Health (Add Health) through the provision of state, county, and tract level measures from the Decennial Census of Population and Housing, American Community Survey (ACS), the Movement Advancement Project (MAP), Lax and Phillips (2009), Public Religion Research Institute (PRRI), Cooperative Election Study (CES), U.S. Religion Census, and Massachusetts Institute of Technology (MIT) Election Lab. These data include indicators of social policies, social climate, and confounding factors related to the study\/measurement of structural heterosexism that correspond to Waves 3, 4, and 5. Some of these indicators are new to the Add Health contextual database and others were previously not available at all three of these waves.\u00a0N=18,352
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Current Add Health investigators can log in to the\u00a0<\/span>CPC Data Portal<\/strong><\/a><\/span>\u00a0and use the \u201cRequest More Data\u201d button to order these datasets.\u00a0<\/span><\/span><\/p>\n

For more information on the CPC Data Portal, please visit the\u00a0Frequently Asked Questions page<\/strong><\/a><\/span>.\u00a0<\/span><\/p>\n

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Add Health<\/strong><\/h3>\n

The National Longitudinal Study of Adolescent to Adult Health <\/strong>In collaboration with the UNC Chief Information Officer and the Research Computing Unit at the University of North Carolina – Chapel Hill, Add Health is making the UNC Secure Research Workspace (UNC SRW) available for restricted-use contract researchers to analyze Add Health data in UNC\u2019s enterprise secure data enclave free of charge. This is a major upgrade to the way Add Health is disseminating restricted-use data and we think will be very helpful for users of restricted-use Add Health data all over the world. In a nutshell, this means we will phase out \u201cpushing data out\u201d to the user community.<\/strong>\u00a0Instead, contract users will use Add Health data by logging in to the SRW at UNC.<\/strong> This should make using Add Health data easier for the user community. Moreover, it will help keep Add Health data more secure in our efforts to maintain the strict confidentiality of our participants. Use of the UNC SRW is free.<\/strong>\u00a0More information and how to access the SRW can be found on our website.<\/strong><\/a> We will continue to put tremendous effort into collecting and disseminating great data for the scientific community. Please contact us at\u00a0addhealth_contracts@unc.edu<\/strong><\/a>\u00a0if you have questions or concerns regarding our transition to the UNC SRW.<\/p>\n

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Add Health <\/span><\/strong><\/a>CPC Data Portal<\/strong><\/a><\/span>\u00a0<\/span><\/h3>\n
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All Coded Causes of Death File, Including Entity-Axis Codes, 2021 <\/span><\/strong>This file contains all underlying cause of death and entity-axis codes appearing in the National Death Index (NDI) source file through 2021. Functioning as dummy variables, zero represents the absence of a code on the decedent\u2019s death certificate, while one denotes the presence of one. N=647All Coded Causes of Death File, Including Record-Axis Codes, 2021 <\/b>This file contains all underlying cause of death and record-axis codes appearing in the National Death Index (NDI) source file through 2021. Functioning as dummy variables, zero represents the absence of a code on the decedent\u2019s death certificate, while one denotes the presence of one. N=647Individual Vital Status and Underlying Cause of Death File, 2021<\/b> This file contains one record for each of the 20,745 Add Health sample members from Wave I. It provides the vital status of each sample member through 2021 as well as the National Death Index-provided underlying cause of death code in ICD-10 format for each decedent. The month and year of the most recent Add Health interview are provided for living sample members, while the month and year of death are provided for decedents. N=20,745Ordered Cause of Death File, 2021 <\/b>This file contains entity- and record-axis codes reported by the National Death Index (NDI) for each decedent in the Add Health sample through 2021. The file is arranged hierarchically, by axis code; therefore, each decedent may have multiple records depending on the maximum number of entity- and record-axis codes recorded by NDI. The sequence of the decedent\u2019s records reflects the order in which the entity- and record-axis codes were reported in the NDI record. N=2,123For more information on the CPC Data Portal, please visit the\u00a0<\/span>Frequently Asked Questions page<\/strong><\/a><\/span>.<\/span><\/p>\n

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The American Indian Experience<\/em><\/a><\/strong><\/h3>\n

Research database combines thousands of sources, scholarly commentaries, and intuitive research tools to support students and scholars in deepening their understanding of Indigenous experiences.This November, explore free-to-access content from this collection!<\/strong>In 1936, with the assistance of a Works Progress Administration (WPA) Federal Writers’ Project grant, the Oklahoma Historical Society and the University of Oklahoma launched an oral history project to collect the stories of Oklahoma settlers. Led by Grant Foreman, the writers conducted more than 11,000 interviews across Oklahoma, many of which were with American Indians whose families had been forced westward as a result of U.S. Indian removal policies.<\/span><\/p>\n

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GSS Cross-sectional Data<\/strong><\/a><\/h3>\n<\/div>\n

Release 3 of the 2024 GSS cross-sectional data \u2013 along with the GSS cumulative cross-sectional file is now available at\u00a0gss.norc.org<\/a>\u00a0<\/span>Release 3 includes additional data that enhances our understanding of American society, and addresses issues reported by users. Release 3 also includes new data from the GSS 2024 Next follow-on survey, a multi-subject web study fielded after the main study resulting in additional data for 1,065 respondents. Users can now find information on:<\/span><\/p>\n