Blog about Open Data and Open Source

This site provides National level geospatial data within the open public domain that can be useful to support tribal community resiliency, research, and more. The data is available for download as CSV, KML, Shapefile, and accessible via web services to support application development and data visualization. This site contains data created and maintained by the Branch of Geospatial Support.

Open Data BR is part of a comprehensive effort to create a more effective, responsive, transparent and connected government for the City of Baton Rouge and Parish of East Baton Rouge, Louisiana.

This is the current version of Oregon's Open Data Coordinator's Handbook. The Open Data Coordinator's Handbook provides instructions to help appointed data coordinators in completing the deliverables of the Open Data Standard, including an agency data inventory, open data plan, and in architecting processes to publish open data.

Documentation for working with the open data catalog, datasets, visualizations, and filters.

A list of all datasets that were identified for publication on NYC Open Data and their current release status. For comprehensive information on each dataset currently on NYC Open Data, please refer to Local Law 251 of 2017: Published Data Asset Inventory.

Maryland's Open Data Program provides transparency so that businesses, residents, visitors, and civil servants can use state data to aid in decision making. The transparency of data helps improve accountability, as data owners share the responsibility for ensuring that data is accurate, up-to-date and available to the public. Each January, the Council on Open Data makes it's Annual Open Data Report available to the public. Please explore the annual reports below to see how Maryland continues to support Open Data.

The provided crash data comes directly from the standard DMV-349 Crash Form completed by the initial officer at the scene of a crash. Only completed crash reports will be mapped in this data. The coordinates for the crash reports are entered manually by the officer and may be subject to error. Therefore, only crashes with coordinates in Raleigh will be shown on the map.

Instructions for filtering data are available on the Open Data blog.

Follow this link to access the NC DOT DMV-349 Instruction Manual for code descriptions and definitions.https://connect.ncdot.gov/business/DMV/DMV%20Documents/DMV-349%20Instructional%20Manual.pdfUpdate Frequency: DailyTime Period: 2015-PresentTerms of UseThe Raleigh Police Department does not guarantee the accuracy of the information contained herein. While all attempts are made to ensure the correctness and suitability of information under our control and to correct any errors brought to our attention, no representation or guarantee can be made as to the correctness or suitability of the information that is presented, referenced, or implied. Data is provided by initial reports received and processed by the Raleigh Police Department. Data may be amended or corrected by the Raleigh Police Department at any time to reflect changes in the investigation, nature, or accuracy of the initial report and the Raleigh Police Department is not responsible for any error or omission, or for the use of or the results obtained from the use of this information. Misuse of the data may subject a party to criminal prosecution for false advertising under NC GS § 14-117. The Raleigh Police Department may, at its discretion, discontinue or modify this service at any time without notice.

NOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year.

Data on public websites maintained by or on behalf of the city agencies.

The Office of the Chief Technology Officer (OCTO), within the District of Columbia (DC) government, manages the District’s data program. This includes open data, data curation, data integration, data storage, data science, data application development and Geographic Information Systems (GIS). The open data handbook explains the process and steps OCTO undertakes when an agency submits an open dataset for publication. The handbook outlines dataset rules, documentation requirements, and policies to make data consistent and standardized. This applies to any dataset submitted for publication on the Open Data DC portal that is classified as Level 0: Open as defined in the District’s Data Policy. For previous versions of the handbook visit https://opendata.dc.gov/pages/handbook.

A list of the department's datasets assessed for release to the open data portal in line with the department's Open Data Strategy. The Departmental Open Data Strategy is available on the Publications Portal https://www.publications.qld.gov.au/dataset/department-of-housing-open-data-strategy-2023-2026

MultiCoNER 1 is a large multilingual dataset (11 languages) for Named Entity Recognition. It is designed to represent some of the contemporary challenges in NER, including low-context scenarios (short and uncased text), syntactically complex entities such as movie titles, and long-tail entity distributions. MultiCoNER 2 is a large multilingual dataset (12 languages) for fine grained Named Entity Recognition. Its fine-grained taxonomy contains 36 NE classes, representing real-world challenges for NER, where named entities, apart from the surface form, context represents a critical role in distinguishing between the different fine-grained types (e.g. Scientist vs. Athlete). Furthermore, the test data of MultiCoNER 2 contains noisy instances, where the noise has been applied to both context tokens as well as the entity tokens. The noise includes typing errors at character level based on keyboard layouts in the the different languages.

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

The Open Data 500 Australia is part of the Australian Government's Open Data initiative, and is the first comprehensive study of Australian organisations that use open government data to generate new business, develop new products and services or create social value. The Minister for Communications, the Hon. Malcolm Turnbull MP, launched the Open Data 500 on 10 March 2015. This dataset includes responses received as of 6 July 2015.

This dataset contains the name and affiliation of NYC Open Data Coordinators (ODC). An organization’s Open Data Coordinator serves as the point person for all data sets published by the organization, and is responsible for ensuring that the corresponding data dictionaries and user guides are kept up to date.

Global Government Open Data Management Platform Market size was valued at USD 1.75 Billion in 2024 and is projected to reach USD 3.38 Billion by 2031, growing at a CAGR of 8.54% from 2024 to 2031.

Global Government Open Data Management Platform Market Drivers

Increasing Demand for Transparency and Accountability: There is a growing public demand for transparency in government operations, which drives the adoption of open data initiatives. According to a survey by the World Bank, 85% of respondents in various countries indicated that transparency in government decisions is crucial for reducing corruption, prompting governments to implement open data platforms.

Technological Advancements: Rapid advancements in information and communication technology (ICT) facilitate the development and deployment of open data management platforms. The International Telecommunication Union (ITU) reported that global Internet penetration reached approximately 64% in 2023, enabling more citizens to access open data and engage with government services online.

Government Initiatives and Policies: Many governments are actively promoting open data through policies and initiatives. For instance, the U.S. government’s Open Data Initiative, launched in 2013, has led to the publication of over 300,000 datasets on Data.gov. Additionally, the European Union’s Open Data Directive, which aims to make public sector data available, is further encouraging governments to embrace open data practices.

On 17 September 2015, the Federal Cabinet adopted the Action Plan for the implementation of the G8 Open Data Charter. The aim of the Action Plan is to implement the principles of the Open Data Charter on the basis of the efforts already made for the federal administration in recent years. The Action Plan is divided into four overarching commitments, including concrete measures, to be implemented by the end of 2015 in accordance with the G8 Open Data Charter. In this way, he sets the national priorities for promoting open data. Progress in the implementation of the Action Plan is continuously documented.

Thank you for your request for information about the following: Under the Freedom of Information Act 2000, I was wondering if you would be able to develop on top of the FOI Request FOI 24442, FOI 27689, FOI 30978, FOI 01003 https://opendata.nhsbsa.net/dataset/foi-24442 (April 2020 to March 2022) https://opendata.nhsbsa.net/dataset/foi-27689 (April 2022 to June 2022) https://opendata.nhsbsa.net/dataset/foi-30978 (July 2022 to November 2022) https://opendata.nhsbsa.net/dataset/foi-01003 (December 2022 to January 2023) The data in these requests were from the data source ‘NHSBSA Information Services Data Warehouse’ with the Columns YEAR_MONTH, PRACTICE_CODE, DISPENSER_CODE, BNF_CODE, PRODUCT_ORDER_NUMBER, PACK_ORDER_NUMBER and NIC_GBP. Would it be possible to have the data in the same format for January 2023 but with some changes discussed in earlier emails. Could we please have no limits on prescribing practice the same as the previous requests but also with no limits on dispenser.

The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt databases are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), and the UniProt Archive (UniParc). The UniProt consortium and host institutions EMBL-EBI, SIB Swiss Institute of Bioinformatics and PIR are committed to the long-term preservation of the UniProt databases.

This open data site is for exploring, accessing and downloading Kentucky-specific GIS data and discovering mapping apps. It provides simple access to information and tools that allow users to understand geospatial data. You can analyze and combine datasets using maps, as well as develop new web and mobile applications. Explore data by category, interact with web mapping applications, use Story Maps, or access our services directly. All data on the site is fed from a variety of authoritative sources.DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this site, please visit https://hub.arcgis.com/admin/