Mayor's Order 2017-115 establishes a comprehensive data policy for the District government. The data created and managed by the District government are valuable assets and are independent of the information systems in which the data reside. As such, the District government shall:Maintain an inventory of its enterprise datasets;Classify enterprise datasets by level of sensitivity;Regularly publish the inventory, including the classifications, as an open dataset; andStrategically plan and manage its investment in data.The greatest value from the District’s investment in data can only be realized when enterprise datasets are freely shared among District agencies, with federal and regional governments, and with the public to the fullest extent consistent with safety, privacy, and security. For more information, please visit https://octo.dc.gov/page/district-columbia-data-policy. Previous years of EDI can be found on Open Data.

Detroit Street View (DSV) is an urban remote sensing program run by the Enterprise Geographic Information Systems (EGIS) Team within the Department of Innovation and Technology at the City of Detroit. The mission of Detroit Street View is ‘To continuously observe and document Detroit’s changing physical environment through remote sensing, resulting in freely available foundational data that empowers effective city operations, informed decision making, awareness, and innovation.’ LiDAR (as well as panoramic imagery) is collected using a vehicle-mounted mobile mapping system.

Due to variations in processing, index lines are not currently available for all existing LiDAR datasets, including all data collected before September 2020. Index lines represent the approximate path of the vehicle within the time extent of the given LiDAR file. The actual geographic extent of the LiDAR point cloud varies dependent on line-of-sight.

Compressed (LAZ format) point cloud files may be requested by emailing gis@detroitmi.gov with a description of the desired geographic area, any specific dates/file names, and an explanation of interest and/or intended use. Requests will be filled at the discretion and availability of the Enterprise GIS Team. Deliverable file size limitations may apply and requestors may be asked to provide their own online location or physical media for transfer.

LiDAR was collected using an uncalibrated Trimble MX2 mobile mapping system. The data is not quality controlled, and no accuracy assessment is provided or implied. Results are known to vary significantly. Users should exercise caution and conduct their own comprehensive suitability assessments before requesting and applying this data.

Sample Dataset: https://detroitmi.maps.arcgis.com/home/item.html?id=69853441d944442f9e79199b57f26fe3

This bill requires each local agency, except a local educational agency, in implementing the California Public Records Act, to create a catalog of enterprise systems, as defined, to make the catalog publicly available upon request in the office of the person or officer designated by the agency’s legislative body, and to post the catalog on the local agency’s Internet Web site. The bill requires the catalog to disclose a list of the enterprise systems utilized by the agency, and, among other things, the current system vendor and product, unless, on the facts of the particular case, the public interest served by not disclosing that information clearly outweighs the public interest served by disclosure, in which case the local agency may instead provide a system name, brief title, or identifier of the system.Senate Bill No. 272

This is a copy of the statewide Census Place GIS Tiger file. It is used to determine if a place is DAC or not by adding ACS (American Community Survey) Median Household Income (MHI) data at the place level. The IRWM web based DAC mapping tool uses this GIS layer. Every year this table gets updated after ACS publishes their updated MHI estimates. Created by joining ACS 2016-2020 5 year estimates to the 2020 Census Place feature class. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of all incorporated places are as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.3, dated April 13, 2022. This data set was not produced by DWR. Data were originally developed and supplied by US Bureau of Census. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to the official GIS steward as available and appropriate at gis@water.ca.gov.

This file contains the digital vector boundaries for Local Enterprise Partnerships in England, as at April 2020. The BFC boundaries are full resolution - clipped to the coastline (Mean High Water mark). Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LEP_(April_2020)_FRCB_EN/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Local_Enterprise_Partnerships_April_2020_Full_Resolution_Clipped_Boundaries_EN/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LEP_April_2020_FRCB_EN_2022/FeatureServer

This file contains the digital vector boundaries for Local Enterprise Partnerships in England as at April 2020. The boundaries available are:

This data set is a spatial representation of counties in New Jersey developed by the NJ Office of Information Technology, Office of GIS (NJOGIS) in NJ State Plane Coordinate System (NAD83). It is not a survey document and must not be used as such. The polygons delineated in this data set do not represent legal boundaries. This data set improves upon previous versions of county boundaries through the integration of coincident features from several high quality source data sets, as a component of the NJOGIS statewide Parcels Normalization Project concluded in March 2010. Updates continue to be made as necessary.This data was published to the Middlesex County Enterprise Geodatabase on 7/22/2020 from data dated 4/27/2020 at this link:https://njogis-newjersey.opendata.arcgis.com/datasets/county-boundaries-of-nj

This file contains the digital vector boundaries for Local Enterprise Partnerships in England, as at April 2020. The BFE boundaries are full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands). Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Enterprise_Partnerships_(April_2020)_FEB_EN/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Local_Enterprise_Partnerships_April_2020_Full_Extent_Boundaries_EN/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Enterprise_Partnerships_April_2020_FEB_EN_2022/FeatureServer

Esri ArcGIS Online (AGOL) Hosted, View Feature Layer for accessing the MDOT SHA Facilities data product.MDOT SHA Facilities data consists of point geometric features which represent the geographic locations of MDOT SHA Facilities throughout the State of Maryland. Facility types included are Headquarters, Complexes, District Offices, Maintenance Shops & Landscape Depots.MDOT SHA Facilities data is maintained by the MDOT SHA OIT Enterprise Information Services. MDOT SHA Facilities data is updated on an Irregular / As-Needed basis. This data was last updated in October 2020.For more information, contact MDOT SHA OIT Enterprise Information Services: Email: GIS@mdot.maryland.gov

The Wildland-Urban Interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census and USGS National Land Cover Data, to map the Federal Register definition of WUI (Federal Register 66:751, 2001) for the conterminous United States from 1990-2020. These data are useful within a GIS for mapping and analysis at national, state, and local levels. Data are available as a geodatabase and include information such as housing densities for 1990, 2000, 2010, and 2020; wildland vegetation percentages for 1992, 2001, 2011, and 2019; as well as WUI classes in 1990, 2000, 2010, and 2020.This WUI feature class is separate from the WUI datasets maintained by individual forest unites, and it is not the authoritative source data of WUI for forest units. This dataset shows change over time in the WUI data up to 2020.Metadata and DownloadsThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

This template is used to compute urban growth between two land cover datasets, that are classified into 20 classes based on the Anderson Level II classification system. This raster function template is used to generate a visual representation indicating urbanization across two different time periods. Typical datasets used for this template is the National Land Cover Database. A more detailed blog on the datasets can be found on ArcGIS Blogs. This template works in ArcGIS Pro Version 2.6 and higher. It's designed to work on Enterprise 10.8.1 and higher.References:Raster functionsWhen to use this raster function templateThe template is useful to generate an intuitive visualization of urbanization across two images.Sample Images to test this againstNLCD2006 and NLCD2011How to use this raster function templateIn ArcGIS Pro, search ArcGIS Living Atlas for raster function templates to apply them to your imagery layer. You can also download the raster function template, attach it to a mosaic dataset, and publish it as an image service. The output is a visual representation of urban sprawl across two images. Applicable geographiesThe template is designed to work globally.

State Welcome & Visitor Center Facilities data consists of point geometric features which represent the geographic locations of State-owned welcome & visitor center facilities throughout the State of Maryland.The State of Maryland operates numerous welcome centers and rest areas at major gateways and strategic locations within the state. The major facilities are located on Interstate and Primary highways and provide modern restroom facilities, travel information, vending machines, picnic facilities and telephones. Throughout Maryland there are also approximately 65 picnic areas and scenic overlooks, minor rest areas, and county operated welcome centers available to the motorist. These facilities are located on the Maryland Official Highway Map, which is available at any welcome center.State Welcome & Visitor Center Facilities data is owned by the MDOT SHA Office of Communications (OC) and maintained by the MDOT SHA Office of Information Technologies (OIT). MDOT SHA Welcome & Visitor Center Facilities data is updated on an As-Needed basis. This data was last updated in October 2020.For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

This file contains the digital vector boundaries for Local Enterprise Partnerships (non overlapping parts) in England, as at April 2020. The BUC boundaries are ultra generalised (500m) - clipped to the coastline (Mean High Water mark). Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LEPNOP_(Apr_2020)_UGCB_in_England/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/LEPNOP_Apr_2020_Ultra_Generalised_Clipped_Boundaries_in_England/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LEPNOP_Apr_2020_UGCB_in_England_2022/FeatureServer

U.S. Census BlocksThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census Blocks in the United States. A brief description of Census Blocks, per USCB, is that "Census blocks are statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads." Also, "the smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race."Census Block 1007Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Blocks) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 69 (Series Information for 2020 Census Block State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Blocks - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocksFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

This file contains the digital vector boundaries for Local Enterprise Partnerships (non overlapping parts) in England, as at April 2020. The BFE boundaries are full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands). Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LEPNOP_(Apr_2020)_FEB_in_England/MapServer

U.S. Census BlocksThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census Blocks. A brief description of Census Blocks, per USCB, is that "Census blocks are statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads." Also, "the smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race."Census Block 1007Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Blocks) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 69 (Series Information for 2020 Census Block State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Blocks - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocksFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

Public Use Microdata AreasThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Public Use Microdata Areas (PUMAs) in the United States. Per USCB, "nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.”Chicago City (North)--Lake View & Lincoln Park and Chicago City (South)--South Shore, Hyde Park, Woodlawn, Grand Boulevard & DouglasData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Public Use Microdata Areas) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 60 (Series Information for 2020 Census Public Use Microdata Area (PUMA) State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (Public Use Microdata Areas - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: Public Use Microdata Areas (PUMAs)For feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."To access other NGDA content that may interest you: NGDA Content

This file contains names and codes for the Local Enterprise Partnerships (LEP) (non-overlapping parts) in England as at 1 April 2020. (File Size - 16 KB). Field Names – LEPNOP20CD, LEPNOP20NM, FID

Field Types – Text, Text

Field Lengths – 9, 51

FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LEP_non_overlapping_parts_April_2020_Names_and_Codes_in_England_2022/FeatureServer

Point data delineating station point locations for rail, light rail, and subway service lines operated by NJ TRANSIT and connecting commuter lines operated by Port Authority Trans Hudson (PATH), Port Authority Transit Corporation (PATCO) and Southeastern Pennsylvania Transportation Authority (SEPTA). Points for most stations are located as delivered by NJ TRANSIT GIS, with a few exceptions. Some of the attributes have been updated. See process steps for details.This data was published to the Middlesex County Enterprise Geodatabase in July 2020 from data dated 4/17/2020 at this link:https://njogis-newjersey.opendata.arcgis.com/datasets/railroad-stations-in-nj

The CDO annual report documents accomplishments and the Enterprise Dataset Inventory results of the previous calendar year. It assess current progress and shares the District's progress with Open Data and the Data Policy. This is the District of Columbia’s Chief Data Officer’s Annual Report produced within the of context the draft strategic plan for the Office of the Chief Technology Officer (OCTO). The Draft Technology Strategic Plan for DC: Unleashing the Possible, though still a draft, is providing direction and clarity to the agency, the District government, and the Chief Data Officer (CDO) program. OCTO is building on a strong foundation and expanding services to help DC Government by providing agencies opportunities to share, store and analyze data to uncover insights to improve services for residents; and the development of this plan has brought renewed energy and mission to OCTO, thus “unleashing the possible.”