Welcome to the Boston Area Research Initiative's data library. Here you will find data describing the people, places, and events in the greater Boston area that have been made available for research. This includes a variety of data generated by academics, government agencies, and others.

When possible, we have made these data available for immediate download. In other cases, restrictions or sensitivities regarding the data make it necessary for those who want to use them to request permission in order to gain access. This may sometimes entail gaining permission also from your institution's Human Subjects Research Review Committee.

An important part of the BARI network is that researchers and policymakers communicate about their respective work. To this effect, we ask that anyone using the data on this site please report their findings back to those who originally contributed the data. Especially in the case of public agencies or community groups, such insights might be helpful in how they think about their operations or practices. Such communication might also lead to new and fruitful collaborations.

Also, as you work with the data and discover new things, or develop new ways to extract information from it, please use the comments page to share this knowledge with others, furthering the cumulative intelligence we have surrounding these data.

Finally, if you are the owner of data that you would like to include in the BARI library, or would like to request that a certain type of data be added to the library, please contact us at BARI@northeastern.edu.

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21 to 30 of 53 Results
Aug 31, 2020
Boston Area Research Initiative, BARI, 2020, "COVID in Boston Database User Guide", https://doi.org/10.7910/DVN/TDKDJJ, Harvard Dataverse, V1
This dataset contains the user guide to BARI's COVID in Boston Database, a multisource database that comprehensively captures how the dynamics of Boston shifted before, during, and after the shutdown in response to the pandemic. This database has been developed with funding support from from Northeastern University's COVID-19 Crisis Seed Funding, a...
Aug 31, 2020
Sage Gibbons; Edgar Castro; Petros Papadopoulos; Riley Tucker; Dan O'Brien, 2020, "Places of Interest", https://doi.org/10.7910/DVN/V2UTWH, Harvard Dataverse, V1, UNF:6:5SM6BtlWIHRFX6BH7jtEOg== [fileUNF]
These datasets include information about places of interest in the city of Boston. To identify places of interest in Boston, we processed information from three external data sources: Google Places, Foursquare, and SafeGraph. Google Places and Foursquare data were collected via API using a python script and the SafeGraph data were received from Saf...
Aug 27, 2020
Bidisha Das; Alina Ristea; Daniel T. O'Brien, 2020, "Food Inspection Violations in Boston, MA", https://doi.org/10.7910/DVN/6MUQKX, Harvard Dataverse, V1, UNF:6:p+Qrk1w4BicrveFIYvdcIw== [fileUNF]
These datasets include Food Establishment Inspections processed from the city’s open data initiative (data.boston.gov), and the connection with data scraped from Yelp (namely, Yelp reviews) scraped by BARI. The data is within the city of Boston. The Food Inspections dataset is released by the Health Division of the Department of Inspectional Servic...
Aug 27, 2020
Qiliang Chen; Riley Tucker; Babak Heydari; Daniel T. O'Brien, 2020, "Yelp Reviews in Boston, MA", https://doi.org/10.7910/DVN/DMWCBT, Harvard Dataverse, V1, UNF:6:LK7qhw898NQb7KAGmXRD/A== [fileUNF]
These datasets include information about Yelp restaurant reviews for the city of Boston processed from data scraped by BARI. We have generated a list of Boston restaurants by searching all of Boston's zipcodes on Yelp and then verifying that each identified restaurant has an address that falls within Boston's boundaries. YELP.Reviews is a review-le...
Aug 26, 2020
Alina Ristea; Saina Sheini; Daniel T. O'Brien, 2020, "Geographical Infrastructure for the City of Boston v. 2020", https://doi.org/10.7910/DVN/W0V6FX, Harvard Dataverse, V1, UNF:6:EyJhSErKuGQhPu2doX3TPA== [fileUNF]
The Boston Area Research Initiative’s Geographical Infrastructure for Boston is a database that organizes and links the places and regions of Boston, MA across 17 levels—including land parcels, streets, census geographies, and other administrative regions. The levels are organized in a hierarchy, with the items in each level nested in the higher-le...
Aug 26, 2020
Saina Sheini; Michael Shields; Alina Ristea; Daniel T. O'Brien, 2020, "Property Assessment Data for Boston, MA v. 2020", https://doi.org/10.7910/DVN/O2ADLG, Harvard Dataverse, V1, UNF:6:2OOu6XWYAiZpTa9UOeVj+Q== [fileUNF]
This dataset details the various cross-sectional and longitudinal data files of the City of Boston's property assessment data. These data were curated and added to by the Boston Area Research Initiative. The corresponding documentation details information about the various attributes and measures within these data files. (2020-08-11)
Dec 5, 2019
O'Brien, Daniel T.; Phillips, Nolan; de Benedictis-Kessner, Justin; Shields, Michael; Sheini, Saina, 2018, "Geographical Infrastructure for the City of Boston v. 2018", https://doi.org/10.7910/DVN/O5IDHY, Harvard Dataverse, V2, UNF:6:aM9i2Y84u1SRReeTw+IXwQ== [fileUNF]
The Boston Area Research Initiative’s Geographical Infrastructure for the City of Boston is a database that organizes and links the places and regions of Boston, MA across various geographic levels—including land parcels, streets, census geographies, and other administrative regions. The levels are organized in a hierarchy, with the items in each l...
Dec 4, 2019
O'Brien, Daniel T.; Phillips, Nolan Edward; Sheini, Saina; de Benedictis-Kessner, Justin; Ristea, Alina; Tucker, Riley, 2019, "Geographical Infrastructure for the City of Boston v. 2019", https://doi.org/10.7910/DVN/WOT075, Harvard Dataverse, V1, UNF:6:lBF1GAwqsyIe8W+SFaf3Pg== [fileUNF]
The Boston Area Research Initiative’s Geographical Infrastructure for Boston is a database that organizes and links the places and regions of Boston, MA across 17 levels—including land parcels, streets, census geographies, and other administrative regions. The levels are organized in a hierarchy, with the items in each level nested in the higher-le...
Nov 25, 2019
O'Brien, Daniel T.; Barrett W. Montgomery; de Benedictis-Kessner, Justin; Sheini, Saina, 2019, "Building Permits", https://doi.org/10.7910/DVN/N4BL71, Harvard Dataverse, V3, UNF:6:MoA2dRJgfDtFBW9B5KUNsA== [fileUNF]
This dataset contains various files detailing the City of Boston’s building permits applications from September 26, 2006 to the recent present. The raw data were originally gathered and released by the Inspectional Service Department (ISD) of the City of Boston. It details various property, land-use, and building activities for the properties of Bo...
Aug 26, 2019
Shields, Michael; Sheini, Saina; de Benedictis-Kessner, Justin; O'Brien, Daniel T., 2019, "Property Assessment", https://doi.org/10.7910/DVN/YVKZIG, Harvard Dataverse, V1, UNF:6:d6pzPv2A31t6mUdw4gGY1w== [fileUNF]
This dataset details the various cross-sectional and longitudinal data files of the City of Boston's property assessment data. These data were curated and added to by the Boston Area Research Initiative. The corresponding documentation details information about the various attributes and measures within these data files.
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