A. SUMMARY In compliance with CA Government Code 6270.5 (passed via SB 272), the City must publish a catalog of enterprise systems that collect data about the public. There are certain exceptions to this detailed in the Government Code. The code is available here. B. HOW THE DATASET IS CREATED This dataset is collated through 2 ways: 1. Ongoing updates are made throughout the year to reflect new or retired systems, this process involves DataSF staff reconciling records at the request of departments 2. Annual bulk updates - departments review their inventories and identify changes and updates and submit those to DataSF for a once a year bulk update - not all departments will have changes or their changes will have been captured over the course of the prior year already as ongoing updates C. UPDATE PROCESS The dataset changes infrequently and is uploaded manually as needed by DataSF staff D. HOW TO USE THIS DATASET Companion dataset inventory dataset A companion dataset of inventoried and published datasets can be accessed online as well.

A. SUMMARY The Citywide Service Inventory is the most comprehensive view of the services offered by the City & County of San Francisco. A public facing service is when a department provides a product or information in response to a customer request. A customer can be anyone who the City & County of San Francisco serves including residents, businesses, visitors and anyone else. B. HOW THE DATASET IS CREATED All information was validated or provided by Department leadership in September-October of 2020. C. UPDATE PROCESS As needed D. HOW TO USE THIS DATASET Data can be filtered by department, service area, service delivery and digital maturity.

A. SUMMARY The San Francisco Controller's Office maintains a database of the salary and benefits paid to City employees since fiscal year 2013. B. HOW THE DATASET IS CREATED This data is summarized and presented on the Employee Compensation report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format. C. UPDATE PROCESS New data is added on a bi-annual basis when available for each fiscal and calendar year. D. HOW TO USE THIS DATASET Before using please first review the following two resources:

A. SUMMARY This dataset contains sales tax collected in San Francisco for calendar years 2018 through 2023 (CY 2018 to 2023). Sales tax is aggregated, or summed, at the census block level. However, some census blocks have been combined to maintain the anonymity of businesses based on Taxation Code Section 7056. See “How to use this dataset” below for more details on how the data has been aggregated. Sales tax is collected by businesses on many types of transactions and regulated by the California Department of Tax and Fee Administration. B. HOW THE DATASET IS CREATED Data is collected by HDL. The data is then aggregated based on the criteria outlined in the "How to use this dataset" section. C. UPDATE PROCESS This dataset will be updated annually. D. HOW TO USE THIS DATASET This dataset can be used to analyze sales tax data over time across census blocks in San Francisco. Due to data privacy protection regulations for businesses, sales tax data is not available for all census blocks. Census blocks where there are less than 4 businesses paying sales tax or a single business that pays 80% or more of the total sales tax have been combined with neighboring Census Blocks to protect the confidentiality of affected businesses. Because of this aggregation, some Census Block groups in this dataset may change in future years as the number of businesses in a particular Census Block changes. The historical data changes based on audit findings and amended returns. If census block groupings change, it will happen when the dataset is updated - on an annual basis. These new blocks will be backfilled to previous years. Additionally, business payers with multiple locations (for example chain stores) are excluded because sales tax cannot be tied back to the location where it was collected. Finally, census blocks in the area field are from 2010 (GEOID10) and not from 2020. A map of this dataset can be viewed here.

A. SUMMARY This is an open data set of all known City domains with associated registrar, department, and owner information. The City and County of San Francisco (City) seeks to serve the public with trustworthy, consistent, reliable and safe websites, regardless of department or service. To accomplish this goal, the Domain Registration and Management Policy standardizes and unifies the internet domain process. B. HOW THE DATASET IS CREATED Digital Services audited all city-owned websites and compiled this data in coordination with department stakeholders. C. UPDATE PROCESS This dataset will update daily. D. HOW TO USE THIS DATASET This dataset can be used to track the status of city-owned websites. E. KNOWN USES This dataset is essential for Department of Technology and Digital Services to create a plan for City-owned websites and email to move to the SF.gov domain or a subdomain by June 30, 2026. In compliance with AB1637 and the Domain Registration and Management Policy, all San Francisco government websites must migrate to a .gov domain by January 1, 2028.

A. SUMMARY This dataset is a cleaned and anonymized version of survey data gathered in FY23 from nonprofits who contract with the City and County of San Francisco. Each row is one organization and data includes general information about the nonprofit's services, finances, and operations, and summary demographic data about each nonprofit's workforce. B. HOW THE DATASET IS CREATED This dataset was generated through conducting a two-tiered survey gathering data on organizational characteristics and position-level data from nonprofits who contract with the City and County of San Francisco in FY23. The survey was fielded in October and November of 2022. 152 nonprofits provided organizational-level data and summary data about their workforce. 29 of those organizations (referred to as "Cohort Organizations") provided additional position-level data. This dataset includes organization-level data for the 152 respondent organizations. For further details on survey methodology, please review page 39 of the Nonprofit Wage and Equity Survey report, linked below in "Related Reports." C. UPDATE PROCESS Data is a one-time survey and will not update. D. HOW TO USE THIS DATASET Review code book, attached in the "About this Dataset" section. E. RELATED REPORTS This dataset informs the Nonprofit Wage and Equity Survey Report, released by the Controller's Office in April 2023. Nonprofit Wage and Equity Survey F. RELATED DATASETS This dataset is one of two datasets of survey data from the Nonprofit Wage and Equity Survey (FY23). Position-level data can be viewed on the Open Data Portal. Nonprofit Wage and Equity Survey - Position-Level Cohort Data - FY23

A. SUMMARY This dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management. This dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset. Finally, this dataset includes the number of clients on medications for opioid use disorder (MOUD). The number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset. The number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded. People may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder. For more information on where to find treatment in San Francisco, visit findtreatment-sf.org.  B. HOW THE DATASET IS CREATED This dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention. C. UPDATE PROCESS Residential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay. D. HOW TO USE THIS DATASET Throughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not accurately project year-end totals. E. RELATED DATASETS Overdose-Related 911 Responses by Emergency Medical Services Unintentional Overdose Death Rates by Race/Ethnicity Preliminary Unintentional Drug Overdose Deaths

This dataset is an inventory of the uses of artificial intelligence (AI) at USDA. The inventory was developed and published as required by [OMB M-24-10](https://www.whitehouse.gov/wp-content/uploads/2024/03/M-24-10-Advancing-Governance-Innovation-and-Risk-Management-for-Agency-Use-of-Artificial-Intelligence.pdf), "Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence". The inventory attributes were collected in accordance with a data standard established by OMB.

Note 3/13/2024: This data pipeline was recently updated. If you notice any issues, please email support@datasf.org, or fill out the form located at Actions->Contact dataset owner. All active addresses from the City's Enterprise Addressing System (EAS), including sub-addresses, such as units. Includes references to parcel and street centerline data (Note: not all addresses are associated with parcels). Updated nightly. See EAS Base Addresses for base addresses not including units.

A. SUMMARY This dataset is a cleaned and anonymized version of survey data gathered in FY23 from nonprofits who contract with the City and County of San Francisco. Each row is one employee (representing one filled position), and data includes wages, position detail, position requirements, and demographic information as supplied by the person's employing organization. B. HOW THE DATASET IS CREATED This dataset was generated through conducting a two-tiered survey gathering data on organizational characteristics and position-level data from nonprofits who contract with the City and County of San Francisco in FY23. The survey was fielded in October and November of 2022. 152 nonprofits provided organizational-level data and summary data about their workforce. 29 of those organizations (referred to as "Cohort Organizations") provided additional position-level wage, demographic, and position-requirement data for each worker employed by their organization. This dataset includes position-level data from the cohort organizations. For further details on survey methodology, please review page 39 of the Nonprofit Wage and Equity Survey report, linked below in "Related Reports." C. UPDATE PROCESS Data is a one-time survey and will not update. D. HOW TO USE THIS DATASET Review code book, attached in the "About this Dataset" section. E. RELATED REPORTS This dataset informs the Nonprofit Wage and Equity Survey Report, released by the Controller's Office in April 2023. Nonprofit Wage and Equity Survey F. RELATED DATASETS This dataset is one of two datasets of survey data from the Nonprofit Wage and Equity Survey (FY23). Organization-level data can be viewed on the Open Data Portal. Nonprofit Wage and Equity Survey - Organization-Level Survey Data - FY23