GSA Enterprise Data Inventory (EDI)
GSA eLibrary (formerly Schedules e-Library) is the online source for the latest contract award information for: GSA Schedules; Department of Veterans Affairs (VA) Schedules; and Technology Contracts, including Governmentwide Acquisition Contracts (GWACs), Network Services and Telecommunications Contracts, and Information Technology (IT) Schedule 70. This data contains all the current contracts under those contract vehicles and their respective schedule, special item number information.
http://data.overheid.nl/licenties/geen-open-licentiehttp://data.overheid.nl/licenties/geen-open-licentie
Interne database met diverse data
Tracking systems for timeliness and completion for business processes
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The dataset contains locations and attributes of GSA owned or leased buildings, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by GSA identified Federal locations and DC GIS staff geo-processed the data.
As is described in OMB Memorandum 13-09, the Enterprise Roadmap is an annual summary of information technology (IT) initiatives that implement the agency’s Information Resources Management (IRM) Strategic Plan. OMB will provide the agency Chief Information Officer with specific areas to comment on in the Roadmap with regard to IT mission and support functions that can be more effectively or efficiently provided through shared services or a transfer/termination of functions. OMB will conduct an analysis of Roadmap submissions during October and will engage directly with agencies on these areas of interest as part of the quarterly PortfolioStat review process.
description: The Product Service Codes (PSC) and North American Industrial Classification Systems (NAICS) are the two methods that the Federal government classifies contracts. They are used as a mechanism to identify scope of the products and services and business segment covered under the award. This data can be used as a mechanism to understand the scope of GSA programs. This can be used as means to identify best fit. While a GSA contract can offer great opportunities for many businesses, the process of applying for that contract will take a significant amount of time and resources. Understanding best GSA contract for your products and services is a preliminary step to take prior to responding to a GSA solicitation.; abstract: The Product Service Codes (PSC) and North American Industrial Classification Systems (NAICS) are the two methods that the Federal government classifies contracts. They are used as a mechanism to identify scope of the products and services and business segment covered under the award. This data can be used as a mechanism to understand the scope of GSA programs. This can be used as means to identify best fit. While a GSA contract can offer great opportunities for many businesses, the process of applying for that contract will take a significant amount of time and resources. Understanding best GSA contract for your products and services is a preliminary step to take prior to responding to a GSA solicitation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The passage of the Sustainable Groundwater Management Act (SGMA) in 2014 set forth a statewide framework to help protect groundwater resources over the long-term. SGMA requires local agencies to form groundwater sustainability agencies (GSAs) for the high and medium priority basins. GSAs develop and implement groundwater sustainability plans (GSPs) to avoid undesirable results and mitigate overdraft within 20 years. GSP boundaries are managed through the SGMA Portal. This dataset represents the current GSP boundaries and includes attributes such as GSP manager contacts and GSP status. The GSP submission process is completed via the SGMA Portal and includes two primary steps: 1) a GSA(s) submits a GSP, and all associated documents and data, to the SGMA Portal’s GSP Reporting System; and 2) the Department conducts an acceptance review and posts accepted GSPs to the SGMA Portal. A single GSP, or multiple GSPs with a Coordination Agreement, must cover an entire basin or subbasin, and can only be submitted once adopted by the underlying GSA(s). GSPs are submitted in the format required by 23 CCR §353.2 and 23 CCR §353.4 of the GSP Regulations and includes the shapefiles associated with this dataset. The Department of Water Resources (DWR) must complete the acceptance review within 20-days following the submission of a GSP. During the acceptance review, DWR verifies that the GSP submission demonstrates that the GSP was adopted, covers the entire basin or subbasin, and contains all required documents and data. If DWR accepts the submitted GSP, it is then posted to the SGMA Portal, and then a public comment period is opened.
The General Service Administration's data.json harvest source. This file contains the metadata for the GSA's public data listing shown on data.gov as defined by the Project Open Data
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
City-owned and leased facilities maintained in the City's Facility System of Record (FSR). This dataset was developed through a process involving some of the primary stewards for the facility data and their stakeholders. It is meant to be a living reference and will be maintained and updated through established workflows and processes over time. You can access the attached User Guide for more detail by clicking the red About button and scrolling to attachments.
The Groundwater Sustainability Plan (GSP) Annual Report (AR) datasets contain the following data submitted by Groundwater Sustainability Agencies (GSA) and Alternative Agencies as part of their GSP AR or Alternative to GSP AR: groundwater extraction, surface water supply, total water use, and change in storage volumes for a given water year. All data was originally submitted to the Department of Water Resources (DWR) through the Sustainable Groundwater Management Act (SGMA) Portal’s AR Modules (https://sgma.water.ca.gov/portal/gspar/submitted and https://sgma.water.ca.gov/portal/alternative/annualreport/submitted). Data records within each dataset correspond to either an entire basin or one of multiple GSP areas which collectively correspond to an entire basin.
The GSP Regulations established the AR data requirements (23 CCR § 356.2) and tasked DWR with developing an online reporting system for GSAs and Alternative Agencies to electronically submit these data (23 CCR § 353.2). The data fields associated with these datasets were created by DWR to ensure GSAs and Alternative Agencies electronically submitted the required AR data to DWR’s online reporting system, the SGMA Portal (https://sgma.water.ca.gov/portal/). For additional information regarding the AR Modules and the AR submittal process, please view the DWR’s AR resources (https://sgma.water.ca.gov/portal/resources).
The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.
The Inventory of Owned and Leased Properties (IOLP) allows users to search properties owned and leased by the General Services Administration (GSA) across the United States, Puerto Rico, Guam and American Samoa. The Owned and Leased Data Sets include the following data except where noted below for Leases: Location Code - GSA’s alphanumeric identifier for the building Real Property Asset Name - Allows users to find information about a specific building Installation Name - Allows users to identify whether a property is part of an installation, such as a campus Owned or Leased - Indicates the building is federally owned (F) or leased (L) GSA Region - GSA assigned region for building location Street Address/City/State/Zip Code - Building address Longitude and Latitude - Map coordinates of the building (only through .csv export) Rentable Square Feet - Total rentable square feet in building Available Square Feet - Vacant space in building Construction Date (Owned Only) - Year built Congressional District - Congressional District building is located Senator/Representative/URL - Senator/Representative of the Congressional District and their URL Building Status (Owned Only) - Indicates building is active Lease Number (Leased Only) - GSA’s alphanumeric identifier for the lease Lease Effective/Expiration Dates (Leased Only) - Date lease starts/expires Real Property Asset Type - Identifies a property as land, building, or structure
The Groundwater Sustainability Plan (GSP) Monitoring dataset contains the monitoring sites and associated groundwater level, subsidence or streamflow measurements collected by Groundwater Sustainability Agencies (GSA) during implementation of their GSP. All data is submitted to the Department of Water Resources (DWR) through the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM).
The GSP Regulations established the monitoring network criteria (23 CCR § 354.34) and the data and reporting standard for monitoring sites and measurements (23 CCR § 352.4). The data fields associated with these datasets were created by DWR to ensure that GSAs electronically submit monitoring site and measurement data which meets the GSP Regulation’s data and reporting standards. For additional information regarding GSAs, GSPs, and SGMA related monitoring, please view DWR’s SGMA Portal Resources at https://sgma.water.ca.gov/portal/.
The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains data from a nationally representative sample of insured individuals for the 2016 calendar year. SyH-DR uses synthetic data elements at the claim level to resemble the marginal distribution of the original data elements. SyH-DR person-level data elements are not synthetic, but identifying information is aggregated or masked.
https://eoportal.eumetsat.int/userMgmt/terms.faceshttps://eoportal.eumetsat.int/userMgmt/terms.faces
Release 2 of the Thematic Climate Data Record (TCDR) of the Meteosat First Generation (MFG) Level 2 land surface albedo. The variables estimated are black-sky albedo (BSA) and white-sky albedo (WSA) with the corresponding uncertainties as explained in the Product User Guide (PUM). The data record validation and limitations are provided in the Validation Report (VR). The products are available in netCDF4 format. This release contains products generated with Meteosat-7.
ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.
General Services Administration (GSA) Data to Decisions (D2D) Category Management DHS Extract. This is FPDS data the GSA analyzes and expands upon for use in spend under management (SUM), best in class (BIC) and other category management tracking and analysis.
A database that contains sequences built from the existing primary sequence data in GenBank. The sequences and corresponding annotations are experimentally supported and have been published in a peer-reviewed scientific journal.
The objective is to ensure that providers who bill Federal health care programs do not submit claims for services furnished, ordered or prescribed by an excluded individual or entity. The LEIE is updated monthly with all individuals and entities who have been excluded from participation in Federal health care programs. Providers who bill Medicare, Medicaid, or other Federal health care programs must ensure that they know what individuals or entities are excluded and not bill for their services (e.g., a pharmacy should not bill Medicaid for a drug prescribed by an excluded physician nor for drugs dispensed by an excluded pharmacist).
GSA Enterprise Data Inventory (EDI)