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Recovery Data Partnership
Recovery Data Partnership
The NYC Recovery Data Partnership (RDP) is a first-of-its-kind effort for community, non-profit, and private organizations to share data with the City to aid in Covid-19 response and recovery efforts. Data shared by partner organizations is provided free-of-charge to bolster understanding of how industry, service delivery, and the lived experiences of New Yorkers have been impacted by Covid-19, and will help to inform programmatic and policy decisions for an equitable recovery. The Recovery Data Partnership is centered on principles of privacy, fairness, accountability, and transparency.
The Recovery Data Partnership is chaired by the Mayor's Office of Policy and Planning, the Mayor's Office of Data Analytics, and the Mayor's Office of Operations, with counsel from the City's Chief Privacy Officer. Technical support was provided by the Department of City Planning's Data Engineering team.
If you have any questions about the Recovery Data Partnership, send an email to RecoveryData@cityhall.nyc.gov.
Current Data Partners
A list of current partners and the data they are sharing with the City is below:
| Partner | Data Being Shared |
|---|---|
| StreetEasy, Zillow Group's NYC brand | Weekly real estate rental and sales metrics aggregated at the neighborhood level. |
| LinkedIn Hiring Rate, a real-time measure of hiring activity based on LinkedIn members who add a new employer to their profile. | |
| Kinsa | Aggregated rates of illness and atypical illness from Kinsa smart thermometer readings. |
| Foursquare | Aggregated foot traffic data by neighborhood and specific types of businesses. |
| BetaNYC and a coalition of neighborhood groups |
Community-maintained directories of businesses and other essential services, their hours, and other details during the Covid-19 pandemic. |
| ioby | Descriptions of community-based crowdfunding projects and donation transactions. |
| SafeGraph | Business listings, building footprints/polygons, and aggregated and anonymized foot traffic data. |
| OATS | Sociodemographic information and the degree tech usage/fluency of OATS users, older adults seeking age-appropriate technology training. |
| Cuebiq | Aggregated mobility and density insights, including visit trends to key points of interest and nationwide travel behavior. |
| Upsolve | Demographic information about New Yorkers signing up for personal bankruptcy services and why they are filing for bankruptcy. |
| Urban Systems Lab | Survey results on access to parks and open space during the pandemic. |
| Metropolitan Museum of Art | Aggregated statistics on museum attendance and membership activities. |
| NYU CUSP's SONYC | Hourly aggregated decibel data from 15 acoustic noise sensors deployed across NYC since late 2016. |
| Mastercard Geographic insights - aggregated retail spending insights by industry and neighborhood. | |
| Directory of every storefront on every block in NYC, including historical tracking of turnover, vacancy, and changes to businesses captured in ground surveys from 2018 to present day. |
City Agency Data Use Cases
| Agency | Data Partners | Description |
|---|---|---|
| Department of City Planning |
BetaNYC |
DCP's Transportation Division is using crowdsourced store opening data to supplement their analysis of the Open Restaurants and Open Streets programs, including the relationship between Open Restaurant permits and the on-the-ground reality of whether a restaurant is open or not. |
| Department of City Planning |
Cuebiq, Foursquare |
DCP's Transportation Division is reviewing aggregrated and anonymized location data for information about changes in activity level at different establishments including retail and office. The data may help track activity levels in the CBD, in the types of businesses that support workers returning to the office, and areas where the Open Restaurants and Open Streets programs are active. |
| Department of City Planning |
Cuebiq, SafeGraph, StreetEasy |
DCP's Regional Planning Division is using aggregated and anonymized location data and real estate price indices to understand NYC resident migration and mobility patterns to- and from-NYC prior to and since the pandemic. |
| Department of City Planning |
StreetEasy |
DCP's Housing and Economic Development Division is using real estate price indices to understand changes in the NYC rental market on the neighborhood level since the beginning of the pandemic. |
| Department of City Planning |
StreetEasy |
DCP's Transportation Division is reviewing real estate metrics for information about residential preferences stemming from longer term shifts to teleworking, reduced frequency of commutes, and/or greater emphasis on "one-seat-rides" or shorter commutes. |
| Department of Transportation |
BetaNYC, Cuebiq, Foursquare, SafeGraph, StreetEasy, Urban Systems Lab |
DOT's Performance Management team is using aggregated and anonymized location data, real estate indices, and survey results from park visitors to better understand changing travel patterns and to help inform resource allocation in the city's transportation network. |
| Department of Transportation |
Kinsa, LinkedIn, OATS, Upsolve |
DOT's Performance Management team is using partner data to support human resources analysis for their agency in the areas of hiring and recruitment, health and safety, and employee services. |
| Mayor's Office of Operations |
Cuebiq |
The Mayor's Office of Operations is using aggregated and anonymized mobility data of travelers entering NYC from other states to understand top-line travel trends and quarantine behavior. |
| NYC Emergency Management |
Foursquare, Kinsa, LinkedIn, StreetEasy, Metropolitan Museum of Art |
NYCEM's Recovery Team is using various data sources to visualize trends across different recovery sectors in a dashboard shared internally with City employees and leadership. |
| NYC Parks |
Urban Systems Lab |
NYC Parks is reviewing survey results for information about New Yorkers' perception and use of parks during the COVID-19 pandemic. |
| Mayor's Office of Data Analytics | Cuebiq, Foursquare, SafeGraph | MODA is using anonymized mobility data and NYC's vaccine statistics to understand the relationship between mobility patterns and vaccine uptake rates by neighborhood. |
City Agencies: Want to Access the Data for Analysis?
Before receiving access to partnership datasets, all City agencies are required to submit a Data Request Application to the RDP team that describes their intended responsible data use and analysis. Use cases will be reviewed by Partnership staff, with input from external advisors (described below).
Leadership and Staff
Martha Norrick serves as a Co-Chair and as Acting Chief Analytics Officer and Director of the Mayor's Office of Data Analytics.
Jeff Thamkittikasem serves as a Co-Chair and Director of the Mayor's Office of Operations.
Staff from the Mayor's Office of Policy and Planning, the Mayor's Office of Data Analytics, and the Mayor's Office of Operations support the initiative.
Advisors
To support the Recovery Data Partnership, the City has engaged advisors who are data experts and practitioners from academic institutions and community-based organizations to draw on their expertise to provide input on potential data uses. Advisors include:
- Erica Bond - Data Collaborative for Justice, Chief Policy Strategist
- Sophia Halkitis - Citizens Committee for Children New York, Research and Data Team
- Robinson Hernandez - Company, Executive Director of the Urban Tech Hub
- Shaina Horowitz - New Lab, Vice President of Product & Programs
- Aankit Patel - CUNY, Director of STEM Education Programs
- Stefaan Verhulst - GovLab, Cofounder and Chief Research and Development Officer
- Alice Xiang - AI Researcher
Guiding Principles of the Partnership
The City has designed this partnership with New Yorkers and the following principles in mind:
- Equity and Fairness: The City aims to seek and use representative data of the lived experiences of New Yorkers from all backgrounds and geographies to inform efforts for an equitable recovery.
- Transparency and Accountability: The Recovery Data Partnership team will review all proposed City uses of data provided by partners, and information about data uses will be made publicly available for New Yorkers to see how data is being used through analysis. Partnership advisors will have an opportunity to contribute their ideas and expertise as part of the City's review process.
- Privacy: The City takes protecting and being a custodian of New Yorkers' information very seriously. All partners have agreed to adhere to City privacy and confidentiality guidelines, and the City will restrict data access to agencies and analysts with approved Covid-19-related use cases.
Resources
- NYC Recovery Data Partnership Agreement Template (as of October 7, 2020)
- Live XYZ, Mastercard, The Met, and SONYC Join NYC Recovery Data Partnership to Inform Covid-19 Response and Recovery Efforts (March 24, 2021)
- Mayor de Blasio Announces Launch of the NYC Recovery Data Partnership with Open Call for Data (July 23, 2020)
In The News
- Harvard Ash Center: NYC's Recovery Data Partnership: Cross-Sector, Values-Driven Data Sharing for Pandemic Response (November 17, 2020)
- Cities Today: Private companies share data with NYC for COVID-19 recovery (August 11, 2020)
- StateScoop: Private NYC coalition to share data with city for pandemic recovery (August 10, 2020)
- Forbes: New York City Embarks on Data Partnership in Response to COVID-19 (August 6, 2020)
Contact Us
If you have any questions about the Recovery Data Partnership, send an email to RecoveryData@cityhall.nyc.gov.