Open Source Application Development Portal (OSADP). The system provides a place for programmers to share software code and solutions.

A JSON that is used to build the content on code.nasa.gov. This JSON contains names, descriptions, links, and keyword tags for all NASA open-sourced code projects released through the SRA (Software Release Authority) and available on code.nasa.gov. It was updated on August, 2019.

The open data portal catalogue is a downloadable dataset containing some key metadata for the general datasets available on the Government of Canada's Open Data portal. Resource 1 is generated using the ckanapi tool (external link) Resources 2 - 8 are generated using the Flatterer (external link) utility. ###Description of resources: 1. Dataset is a JSON Lines (external link) file where the metadata of each Dataset/Open Information Record is one line of JSON. The file is compressed with GZip. The file is heavily nested and recommended for users familiar with working with nested JSON. 2. Catalogue is a XLSX workbook where the nested metadata of each Dataset/Open Information Record is flattened into worksheets for each type of metadata. 3. datasets metadata contains metadata at the dataset level. This is also referred to as the package in some CKAN documentation. This is the main table/worksheet in the SQLite database and XLSX output. 4. Resources Metadata contains the metadata for the resources contained within each dataset. 5. resource views metadata contains the metadata for the views applied to each resource, if a resource has a view configured. 6. datastore fields metadata contains the DataStore information for CSV datasets that have been loaded into the DataStore. This information is displayed in the Data Dictionary for DataStore enabled CSVs. 7. Data Package Fields contains a description of the fields available in each of the tables within the Catalogue, as well as the count of the number of records each table contains. 8. data package entity relation diagram Displays the title and format for column, in each table in the Data Package in the form of a ERD Diagram. The Data Package resource offers a text based version. 9. SQLite Database is a .db database, similar in structure to Catalogue. This can be queried with database or analytical software tools for doing analysis.

This dataset lists out all software in use by NASA.

This list contains the government API cases collected, cleaned and analysed in the APIs4DGov study "Web API landscape: relevant general purpose ICT standards, technical specifications and terms".

The list does not represent a complete list of all government cases in Europe, as it is built to support the goals of the study and is limited to the analysis and data gathered from the following sources:

• The EU open data portal

• The European data portal

• The INSPIRE catalogue

• JoinUp: The API cases collected from the European Commission JoinUp platform

• Literature-document review: the API cases gathered from the research activities of the study performed till the end of 2019

• ProgrammableWeb: the ProgrammableWeb API directory

• Smart 2015/0041: the database of 395 cases created by the study ‘The project Towards faster implementation and uptake of open government’ (SMART 2015/0041).

• Workshops/meetings/interviews: a list of API cases collected in the workshops, surveys and interviews organised within the APIs4DGov

Each API case is classified accordingly to the following rationale:

• Unique id: a unique key of each case, obtained by concatenating the following fields: (Country Code) + (Governmental level) + (Name Id) + (Type of API)

• API Country or type of provider: the country in which the API case has been published

• API provider: the specific provider that published and maintain the API case

• Name Id: an acronym of the name of the API case (it can be not unique)

• Short description

• Type of API: (i) API registry, a set, catalogue, registry or directory of APIs; (ii) API platform: a platform that supports the use of APIs; (iii) API tool: a tool used to manage APIs; (iv) API standard: a set of standards related to government APIs; (v) Data catalogue, an API published to access metadata of datasets, normally published by a data catalogue; (vi) Specific API, a unique (can have many endpoints) API built for a specific purpose

• Number of APIs: normally only one, in the case of API registry, the number of APIs published by the registry at the 31/12/2019

• Theme: list of domains related to the API case (controlled vocabulary)

• Governmental level: the geographical scope of the API (city, regional, national or international)

• Country code: the country two letters internal code

• Source: the source (among the ones listed in the previous) from where the API case has been gathered

About Data.gov.au is the central source of Australian open government data. Anyone can access the public data published by federal, state and local government agencies. Data.gov.au are not responsible for creating, maintaining and updating these published datasets. Agencies are the custodians of the data they collect, and they make decisions about how it can be shared safely. They are often guided by legislation and policy requirements that can define what and how data can be shared. This data is a national resource that holds considerable value for growing the economy, improving service delivery and transforming policy outcomes. In addition to government data, you can also find publicly-funded research data and datasets from private institutions that are in the public interest. The federal government's Data and Digital Government Strategy requires all government agencies to make non-sensitive data open by default.

Myndighetscrawl

Myndighetscrawl is small project to gather and analyse PDF files on Swedish government websites, using several open sources for web crawling such as the Internet Archive and Common Crawl.

  The problem

The Swedish government consists of a great number of agencies (statliga förvaltningsmyndigheter) that publish several thousands of analyses and reports every year. Unfortunately, their decentralised nature and the lack of best open data practices makes them… See the full description on the dataset page: https://huggingface.co/datasets/ESVdatalabb/myndighetscrawl.

This is a PDF document created by the Department of Information Technology (DoIT) and the Governor's Office of Performance Improvement to assist training Maryland state employees on use of the Open Data Portal, https://opendata.maryland.gov. This document covers direct data entry, uploading Excel spreadsheets, connecting source databases, and transposing data. Please note that this tutorial is intended for use by state employees, as non-state users cannot upload datasets to the Open Data Portal.

Purpose of data.gov.lv is to gather and to circulate Government institution and Government organization collected data in on place for public use, as this data is valuable for the development of innovations in the state. On this portal datasets can be browsed by category, keywords or institution. The portal is based on open source technologies including CKAN Open data catalogue. Developed add-ons are available at: https://github.com/dpp-dev The Latvian Open Data Portal was created by the European Regional Development Fund co-financed project Nr. 2.2.1.1/16/I/001 "Public Administration Information and Communication Technology Architecture Management System" (PIKTAPS) The Third Action Plan for Open Government Partnership of Latvia is taking an action towards openness, responsibility, publics’ participation and the use of ICT [1] This plan carries out the improvement and implementation of various services in the Internet environment. One of the 12 commitment plans of Latvia is the development of an open-source public data portal. But to fulfill the entire target of 2017-2019 OGP plan Latvia has committed to involve society in the selection of datasets. Consequently, the website has the ability to vote which data should be opened. So far in Latvia many valuable data were not available, since collecting them is a paid service, for that reason, access to re-usable data containing metadata has been difficult. Only a few institutions, on their own initiative, published open data on their websites. In 2013, the European Union (EU) adopted the Directive 2013/37/EU with a view to introducing uniform practices and rules in all Member States for the re-use of public administration information. In Latvia, in 2015, the relevant amendments were incorporated into the Information Disclosure Law. According to the directive, in Latvia the data that is open should be published "on the authority of its own initiative, if it is useful ", which means the voluntary principle in the publication of data and does not promote the general" open by default "compliance with the principle. This portal was opened within the OGP to facilitate the opening of data, of course, with respect to the protection of personal data. Involving society in choosing the datasets to be opened. From this commitment, an open data portal, gains all the groups of the public: Members of the society will not only be able to vote for data sets of interest to them, but also to obtain data without bureaucracy. Government institutions will increase the efficiency of work and improve their image by opening and publishing their data. Entrepreneurs will have more data available that can be used to create new products or services, thus contributing to overall economic growth.

Last update: August 20, 2024OverviewThis point data was generated and filtered from OpenStreetMap and is intended to represent places of interest in the state of Utah. These may include businesses, restaurants, places of worship, airports, parks, schools, event centers, apartment complexes, hotels, car dealerships…almost anything that you can find in OpenStreetMap (OSM). There are over 23,000 features in the original dataset (March 2022) and users can directly contribute to it through openstreetmap.org. This data is updated approximately once every month and will likely continue to grow over time with user activity.Data SourcesThe original bulk set of OSM data for the state of Utah is downloaded from Geofabrik: https://download.geofabrik.de/north-america/us/utah-latest-free.shp.zipAdditional attributes for the Utah features are gathered via the Overpass API using the following query: https://overpass-turbo.eu/s/1geRData Creation ProcessThe Open Source Places layer is created by a Python script that pulls statewide OSM data from a nightly archive provided by Geofabrik (https://www.geofabrik.de/data/download.html). The archive data contains nearly 20 shapefiles, some that are relevant to this dataset and some that aren't. The Open Source Places layer is built by filtering the polygon and point data in those shapefiles down to a single point feature class with specific categories and attributes that UGRC determines would be of widest interest. The polygon features (buildings, areas, complexes, etc.) are converted to points using an internal centroid. Spatial filtering is done as the data from multiple shapefiles is combined into a single layer to minimize the occurrence of duplicate features. (For example, a restaurant can be represented in OSM as both a point of interest and as a building polygon. The spatial filtering helps reduce the chances that both of these features are present in the final dataset.) Additional de-duplication is performed by using the 'block_id' field as a spatial index, to ensure that no two features of the same name exist within a census block. Then, additional fields are created and assigned from UGRC's SGID data (county, city, zip, nearby address, etc.) via point-in-polygon and near analyses. A numeric check is done on the 'name' field to remove features where the name is less than 3 characters long or more than 50% numeric characters. This eliminates several features derived from the buildings layer where the 'name' is simply an apartment complex building number (ex: 3A) or house number (ex: 1612). Finally, additional attributes (osm_addr, opening_hours, phone, website, cuisine, etc.) are pulled from the Overpass API (https://wiki.openstreetmap.org/wiki/Overpass_API) and joined to the filtered data using the 'osm_id' field as the join key.Field Descriptionsaddr_dist - the distance (m) to the nearest UGRC address point within 25 mosm_id - the feature ID in the OSM databasecategory - the feature's data class based on the 4-digit code and tags in the OSM databasename - the name of the feature in the OSM databasecounty - the county the feature is located in (assigned from UGRC's county boundaries)city - the city the feature is located in (assigned from UGRC's municipal boundaries)zip - the zip code of the feature (assigned from UGRC's approximation of zip code boundaries)block_id - the census block the feature is located in (assigned from UGRC's census block boundaries)ugrc_addr - the nearest address (within 25 m) from the UGRC address point databasedisclaimer - a note from UGRC about the ugrc_near_addr fieldlon - the approximate longitude of the feature, calculated in WGS84 EPSG:4326lat - the approximate latitude of the feature, calculated in WGS84 EPSG:4326amenity - the amenity available at the feature (if applicable), often similar to the categorycuisine - the type of food available (if applicable), multiple types are separated by semicolons (;)tourism - the type of tourist location, if applicable (zoo, viewpoint, hotel, attraction, etc.)shop - the type of shop, if applicablewebsite - the feature's website in the OSM database, if availablephone - the feature's phone number(s) in the OSM database, if availableopen_hours - the feature's operating hours in the OSM database, if availableosm_addr - the feature's address in the OSM database, if availableMore information can be found on the UGRC data page for this layer:https://gis.utah.gov/data/society/open-source-places/

The data.gov catalog is powered by CKAN, a powerful open source data platform that includes a robust API. Please be aware that data.gov and the data.gov CKAN API only contain metadata about datasets. This metadata includes URLs and descriptions of datasets, but it does not include the actual data within each dataset.

The Pernambuco State Open Data Portal (dados.pe.gov.br) gathers, in one single place, the datasets from agencies belonging to the State Executive Branch. The main objective is to expand active transparency within the scope of the State Executive Branch. With the resources of this Portal, it will be possible to build applications, data visualizations, and obtain essential information about public policies and the administration of the State. This Portal uses the largest open-source platform for data cataloging, CKAN. The same platform used by user groups and governments, such as: United States, United Kingdom, Germany, Japan, Brazil, and others. Translated from Portuguese Original Text: O Portal de Dados Abertos do Estado de Pernambuco (dados.pe.gov.br) reúne, em um só lugar, os conjuntos de dados dos órgãos pertencentes ao Poder Executivo Estadual. O objetivo principal é ampliar a transparência ativa no âmbito do Poder Executivo Estadual. Com os recursos deste Portal, será possível construir aplicativos, visualizações de dados e obter informações essenciais sobre as políticas públicas e a administração do Estado. Este Portal utiliza a maior plataforma em software livre para catalogação de dados, o CKAN. A mesma utilizada por grupos de usuários e governos, tais como: Estados Unidos, Reino Unido, Alemanha, Japão, Brasil e outros.

Ethical Data ManagementExecutive SummaryIn the age of data and information, it is imperative that the City of Virginia Beach strategically utilize its data assets. Through expanding data access, improving quality, maintaining pace with advanced technologies, and strengthening capabilities, IT will ensure that the city remains at the forefront of digital transformation and innovation. The Data and Information Management team works under the purpose:“To promote a data-driven culture at all levels of the decision making process by supporting and enabling business capabilities with relevant and accurate information that can be accessed securely anytime, anywhere, and from any platform.”To fulfill this mission, IT will implement and utilize new and advanced technologies, enhanced data management and infrastructure, and will expand internal capabilities and regional collaboration.Introduction and JustificationThe Information technology (IT) department’s resources are integral features of the social, political and economic welfare of the City of Virginia Beach residents. In regard to local administration, the IT department makes it possible for the Data and Information Management Team to provide the general public with high-quality services, generate and disseminate knowledge, and facilitate growth through improved productivity.For the Data and Information Management Team, it is important to maximize the quality and security of the City’s data; to develop and apply the coherent management of information resources and management policies that aim to keep the general public constantly informed, protect their rights as subjects, improve the productivity, efficiency, effectiveness and public return of its projects and to promote responsible innovation. Furthermore, as technology evolves, it is important for public institutions to manage their information systems in such a way as to identify and minimize the security and privacy risks associated with the new capacities of those systems.The responsible and ethical use of data strategy is part of the City’s Master Technology Plan 2.0 (MTP), which establishes the roadmap designed by improve data and information accessibility, quality, and capabilities throughout the entire City. The strategy is being put into practice in the shape of a plan that involves various programs. Although these programs was specifically conceived as a conceptual framework for achieving a cultural change in terms of the public perception of data, it basically covers all the aspects of the MTP that concern data, and in particular the open-data and data-commons strategies, data-driven projects, with the aim of providing better urban services and interoperability based on metadata schemes and open-data formats, permanent access and data use and reuse, with the minimum possible legal, economic and technological barriers within current legislation.Fundamental valuesThe City of Virginia Beach’s data is a strategic asset and a valuable resource that enables our local government carry out its mission and its programs effectively. Appropriate access to municipal data significantly improves the value of the information and the return on the investment involved in generating it. In accordance with the Master Technology Plan 2.0 and its emphasis on public innovation, the digital economy and empowering city residents, this data-management strategy is based on the following considerations.Within this context, this new management and use of data has to respect and comply with the essential values applicable to data. For the Data and Information Team, these values are:Shared municipal knowledge. Municipal data, in its broadest sense, has a significant social dimension and provides the general public with past, present and future knowledge concerning the government, the city, society, the economy and the environment.The strategic value of data. The team must manage data as a strategic value, with an innovative vision, in order to turn it into an intellectual asset for the organization.Geared towards results. Municipal data is also a means of ensuring the administration’s accountability and transparency, for managing services and investments and for maintaining and improving the performance of the economy, wealth and the general public’s well-being.Data as a common asset. City residents and the common good have to be the central focus of the City of Virginia Beach’s plans and technological platforms. Data is a source of wealth that empowers people who have access to it. Making it possible for city residents to control the data, minimizing the digital gap and preventing discriminatory or unethical practices is the essence of municipal technological sovereignty.Transparency and interoperability. Public institutions must be open, transparent and responsible towards the general public. Promoting openness and interoperability, subject to technical and legal requirements, increases the efficiency of operations, reduces costs, improves services, supports needs and increases public access to valuable municipal information. In this way, it also promotes public participation in government.Reuse and open-source licenses. Making municipal information accessible, usable by everyone by default, without having to ask for prior permission, and analyzable by anyone who wishes to do so can foster entrepreneurship, social and digital innovation, jobs and excellence in scientific research, as well as improving the lives of Virginia Beach residents and making a significant contribution to the city’s stability and prosperity.Quality and security. The city government must take firm steps to ensure and maximize the quality, objectivity, usefulness, integrity and security of municipal information before disclosing it, and maintain processes to effectuate requests for amendments to the publicly-available information.Responsible organization. Adding value to the data and turning it into an asset, with the aim of promoting accountability and citizens’ rights, requires new actions, new integrated procedures, so that the new platforms can grow in an organic, transparent and cross-departmental way. A comprehensive governance strategy makes it possible to promote this revision and avoid redundancies, increased costs, inefficiency and bad practices.Care throughout the data’s life cycle. Paying attention to the management of municipal registers, from when they are created to when they are destroyed or preserved, is an essential part of data management and of promoting public responsibility. Being careful with the data throughout its life cycle combined with activities that ensure continued access to digital materials for as long as necessary, help with the analytic exploitation of the data, but also with the responsible protection of historic municipal government registers and safeguarding the economic and legal rights of the municipal government and the city’s residents.Privacy “by design”. Protecting privacy is of maximum importance. The Data and Information Management Team has to consider and protect individual and collective privacy during the data life cycle, systematically and verifiably, as specified in the general regulation for data protection.Security. Municipal information is a strategic asset subject to risks, and it has to be managed in such a way as to minimize those risks. This includes privacy, data protection, algorithmic discrimination and cybersecurity risks that must be specifically established, promoting ethical and responsible data architecture, techniques for improving privacy and evaluating the social effects. Although security and privacy are two separate, independent fields, they are closely related, and it is essential for the units to take a coordinated approach in order to identify and manage cybersecurity and risks to privacy with applicable requirements and standards.Open Source. It is obligatory for the Data and Information Management Team to maintain its Open Data- Open Source platform. The platform allows citizens to access open data from multiple cities in a central location, regional universities and colleges to foster continuous education, and aids in the development of data analytics skills for citizens. Continuing to uphold the Open Source platform with allow the City to continually offer citizens the ability to provide valuable input on the structure and availability of its data. Strategic areasIn order to deploy the strategy for the responsible and ethical use of data, the following areas of action have been established, which we will detail below, together with the actions and emblematic projects associated with them.In general, the strategy pivots on the following general principals, which form the basis for the strategic areas described in this section.Data sovereigntyOpen data and transparencyThe exchange and reuse of dataPolitical decision-making informed by dataThe life cycle of data and continual or permanent accessData GovernanceData quality and accessibility are crucial for meaningful data analysis, and must be ensured through the implementation of data governance. IT will establish a Data Governance Board, a collaborative organizational capability made up of the city’s data and analytics champions, who will work together to develop policies and practices to treat and use data as a strategic asset.Data governance is the overall management of the availability, usability, integrity and security of data used in the city. Increased data quality will positively impact overall trust in data, resulting in increased use and adoption. The ownership, accessibility, security, and quality, of the data is defined and maintained by the Data Governance Board.To improve operational efficiency, an enterprise-wide data catalog will be created to inventory data and track metadata from various data sources to allow for rapid data asset discovery. Through the data catalog, the city will

Sources of revenue for State of Oklahoma government by broad category.

This is the dataset used in the respective research work. The abstract is available below.

If you want to cite this work, please use:

Georgia M. Kapitsaki, Maria Papoutsoglou, Daniel German and Lefteris Angelis, What do developers talk about open source software licensing?, to appear in the Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020.

Free and open source software has gained a lot of momentum in the industry and the research community. Open source licenses determine the rules, under which the open source software can be further used and distributed. Previous works have examined the usage of open source licenses in the framework of specific projects or online social coding platforms, examining developers specific licensing views for specific software. However, the questions practitioners ask about licenses and licensing as captured in Question and Answer websites also constitute an important aspect toward understanding practitioners general licenses and licensing concerns. In this paper, we investigate open source license discussions using data from the Software Engineering, Open Source and Law Stack Exchange sites that contain relevant data. We describe the process used for the data collection and analysis, and discuss the main results. Our results indicate that clarifications about specific licenses and specific license terms are required. The results can be useful for developers, educators and license authors.

The OSINT Market Report Segments the Industry Into by Analysis Type (Data Analytics, Human Intelligence (HUMINT), and More), Technology (Text Analytics, Social-Media Analytics, and More), Data Source (Surface-Web Content, Dark-Web, and Deep-Web Feeds, and More), End-User Industry (Government Intelligence Agencies, Military and Defense, and More), Deployment Model (Cloud and On-Premise), and Geography.

Glossaries on the following topics: * common abbreviations * government websites * job ads and position descriptions * signage (including court signage) * news releases and other information documents Access ONTERM, the complete source for official Ontario government terminology in English and French.

About CKAN: It is the largest open-source data portal platform in the world. CKAN is a complete and ready-to-use solution that makes data accessible and usable – by providing tools to simplify the publication, sharing, discovery, and use of data (including data storage and the provision of robust data APIs). CKAN is aimed at data publishers (national and regional governments, companies, and organizations) who want to make their data open and available. CKAN is used by governments and user groups around the world and powers numerous official and community portals, including local, national, and international government portals, such as data.gov.uk of the United Kingdom, publicdata.eu of the European Union, dados.gov.br of Brazil, the Dutch government portal, as well as city and municipal sites in the USA, United Kingdom, Argentina, Finland, and elsewhere. CKAN: http://ckan.org/ CKAN Tour: http://ckan.org/tour/ Features Overview: http://ckan.org/features/ Translated from Portuguese Original Text: Sobre CKAN é a maior plataforma para portal de dados em software livre do mundo. CKAN é uma solução completa e pronta para usar que torna os dados acessíveis e utilizáveis – ao prover ferramentas para simplificar a publicação, o compartilhamento, o encontro e a utilização dos dados (incluindo o armazenamento de dados e o provimento de robustas APIs de dados). CKAN está direcionado a publicadores de dados (governos nacionais e regionais, companhias e organizações) que querem tornar seus dados abertos e disponíveis. CKAN é usado por governos e grupos de usuários em todo o mundo e impulsiona vários portais oficiais e da comunidade, incluindo portais governamentais locais, nacionais e internacionais, tais como o data.gov.uk do Reino Unido, o publicdata.eu da União Europeia, o dados.gov.br do Brasil, o portal do governo da Holanda, assim como sítios de cidades e municípios nos EUA, Reino Unido, Argentina, Finlândia e em outros lugares. CKAN: http://ckan.org/ Tour do CKAN: http://ckan.org/tour/ Visão geral das funcionalidades: http://ckan.org/features/