The purpose of the U.S. Department of Health & Human Services (HHS) Data Governance Board (DGB) is to serve as the Department’s principal data governance forum and decision-making body for managing HHS’ data as a strategic asset and to support HHS in meeting its mission and agency priorities, including implementation of the Evidence Act.

The HHS DGB currently meets monthly to support these activities.

This dataset serves to communicate to the public the members of the HHS DGB, as required by the Federal Data Strategy.

Data management platform and data repository based on the CKAN tool for managing and publishing collections of data. It enables the user to search for data, register published datasets, create and manage groups of datasets, and get updates from datasets and groups of interest.

Presentation slides from the Interagency Data Team meeting. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

Next Generation Data Management of Large-Scale CFD Simulations, Phase II

The data management plan is developed to provide guidance on data management practices and standards for research institutions and teams working on Africa RISING program. The document is organized as follows:

• Section 2 discusses open data access, Africa RISING Program data sources and types, metadata management, and data standardization.
• Section 3 discusses Program data management and access tools.
• Section 4 discusses internal and external diffusion of Program data.
• Section 5 discusses data storage and transmission.

Provides an enterprise-wide capability for managing individual authorizations for access to protected information. An Individual Authorization is an abstract concept and can be realized by different possible instances of concrete authorization types. Currently, the supported authorization types are Personal Representative Delegation (PR Delegation) and VA Healthcare Proxy delegation (VAHP Delegation). Delegations are a type of authorization whereby a delegator,typically a Veteran or Beneficiary, delegates specific access privileges to a delegaten such as Caregivers, Family members, Legal guardians, etc.

A collection of 22 data set of 50+ requirements each, expressed as user stories.

The dataset has been created by gathering data from web sources and we are not aware of license agreements or intellectual property rights on the requirements / user stories. The curator took utmost diligence in minimizing the risks of copyright infringement by using non-recent data that is less likely to be critical, by sampling a subset of the original requirements collection, and by qualitatively analyzing the requirements. In case of copyright infringement, please contact the dataset curator (Fabiano Dalpiaz, f.dalpiaz@uu.nl) to discuss the possibility of removal of that dataset [see Zenodo's policies]

The data sets have been originally used to conduct experiments about ambiguity detection with the REVV-Light tool: https://github.com/RELabUU/revv-light

This collection has been originally published in Mendeley data: https://data.mendeley.com/datasets/7zbk8zsd8y/1

Overview of the datasets [data and links added in December 2024]

The following text provides a description of the datasets, including links to the systems and websites, when available. The datasets are organized by macro-category and then by identifier.

Public administration and transparency

g02-federalspending.txt (2018) originates from early data in the Federal Spending Transparency project, which pertain to the website that is used to share publicly the spending data for the U.S. government. The website was created because of the Digital Accountability and Transparency Act of 2014 (DATA Act). The specific dataset pertains a system called DAIMS or Data Broker, which stands for DATA Act Information Model Schema. The sample that was gathered refers to a sub-project related to allowing the government to act as a data broker, thereby providing data to third parties. The data for the Data Broker project is currently not available online, although the backend seems to be hosted in GitHub under a CC0 1.0 Universal license. Current and recent snapshots of federal spending related websites, including many more projects than the one described in the shared collection, can be found here.

g03-loudoun.txt (2018) is a set of extracted requirements from a document, by the Loudoun County Virginia, that describes the to-be user stories and use cases about a system for land management readiness assessment called Loudoun County LandMARC. The source document can be found here and it is part of the Electronic Land Management System and EPlan Review Project - RFP RFQ issued in March 2018. More information about the overall LandMARC system and services can be found here.

g04-recycling.txt(2017) concerns a web application where recycling and waste disposal facilities can be searched and located. The application operates through the visualization of a map that the user can interact with. The dataset has obtained from a GitHub website and it is at the basis of a students' project on web site design; the code is available (no license).

g05-openspending.txt (2018) is about the OpenSpending project (www), a project of the Open Knowledge foundation which aims at transparency about how local governments spend money. At the time of the collection, the data was retrieved from a Trello board that is currently unavailable. The sample focuses on publishing, importing and editing datasets, and how the data should be presented. Currently, OpenSpending is managed via a GitHub repository which contains multiple sub-projects with unknown license.

g11-nsf.txt (2018) refers to a collection of user stories referring to the NSF Site Redesign & Content Discovery project, which originates from a publicly accessible GitHub repository (GPL 2.0 license). In particular, the user stories refer to an early version of the NSF's website. The user stories can be found as closed Issues.

(Research) data and meta-data management

g08-frictionless.txt (2016) regards the Frictionless Data project, which offers an open source dataset for building data infrastructures, to be used by researchers, data scientists, and data engineers. Links to the many projects within the Frictionless Data project are on GitHub (with a mix of Unlicense and MIT license) and web. The specific set of user stories has been collected in 2016 by GitHub user @danfowler and are stored in a Trello board.

g14-datahub.txt (2013) concerns the open source project DataHub, which is currently developed via a GitHub repository (the code has Apache License 2.0). DataHub is a data discovery platform which has been developed over multiple years. The specific data set is an initial set of user stories, which we can date back to 2013 thanks to a comment therein.

g16-mis.txt (2015) is a collection of user stories that pertains a repository for researchers and archivists. The source of the dataset is a public Trello repository. Although the user stories do not have explicit links to projects, it can be inferred that the stories originate from some project related to the library of Duke University.

g17-cask.txt (2016) refers to the Cask Data Application Platform (CDAP). CDAP is an open source application platform (GitHub, under Apache License 2.0) that can be used to develop applications within the Apache Hadoop ecosystem, an open-source framework which can be used for distributed processing of large datasets. The user stories are extracted from a document that includes requirements regarding dataset management for Cask 4.0, which includes the scenarios, user stories and a design for the implementation of these user stories. The raw data is available in the following environment.

g18-neurohub.txt (2012) is concerned with the NeuroHub platform, a neuroscience data management, analysis and collaboration platform for researchers in neuroscience to collect, store, and share data with colleagues or with the research community. The user stories were collected at a time NeuroHub was still a research project sponsored by the UK Joint Information Systems Committee (JISC). For information about the research project from which the requirements were collected, see the following record.

g22-rdadmp.txt (2018) is a collection of user stories from the Research Data Alliance's working group on DMP Common Standards. Their GitHub repository contains a collection of user stories that were created by asking the community to suggest functionality that should part of a website that manages data management plans. Each user story is stored as an issue on the GitHub's page.

g23-archivesspace.txt (2012-2013) refers to ArchivesSpace: an open source, web application for managing archives information. The application is designed to support core functions in archives administration such as accessioning; description and arrangement of processed materials including analog, hybrid, and
born digital content; management of authorities and rights; and reference service. The application supports collection management through collection management records, tracking of events, and a growing number of administrative reports. ArchivesSpace is open source and its

Best Management Practices (BMPs) are structural controls used to manage stormwater runoff. Examples include green roofs, rain gardens, and cisterns. BMPs reduce the effects of stormwater pollution and help restore the District’s waterbodies. The District’s stormwater regulations require that large construction or renovation projects install BMPs to manage stormwater runoff once construction is complete. The District also provides financial incentives for properties that install BMPs voluntarily. This dataset includes BMPs that were installed to comply with the District’s stormwater regulations, to participate in the Stormwater Retention Credit (SRC) trading program, to participate in the RiverSmart Homes program, to participate in the Green Roof Rebate program, or to participate in the RiverSmart Rewards stormwater fee discount program. These BMPs have been reviewed by the Department of Energy and Environment (DOEE) as part of these programs. This dataset is updated weekly with data from the District’s Stormwater Database.

The Connecticut Housing Data Hub is a public resource developed by the Office of Policy and Management (OPM), Department of Housing (DOH), and Department of Economic and Community Development (DECD).

Data available on this site includes permitting and demolition data from DECD, housing stock from the American Community Survey, and data on affordable housing collected by DOH.

This country report commences with a brief identification of the political-economic context that sets the parameters for existing land governance and for reform in Myanmar. It then explores the politicaleconomic dynamics of land relations and identifies key transitions in land relations that affect access to land and tenure security for smallholders. Finally, the report discusses key openings for, and constraints to, land governance reform.

Meeting notes from Interagency Data Team meetings. These are best attempt to capture notable comments and questions from attendees. Notes are paraphrased. Please reference presentation or contact open.data@dc.gov with questions. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

This service provides web services used to obtain order releated data. Users of this service are intended to be healthcare providers

The list of governance boards on which the CIO is a member, playing a role with IT Acquisition when the IT will be used for USAID operations.

This is the . This service provides webservice methods that allow the user to track inpatient bed movements of patients. All access provided by this interface is read-only.

This community fishery management plan outlines the general situation, demographics, and socio-economic status of the community fishery, resources available in community fishery, fishing, and community fishery management plans.

This Law on the management of commercial gaming aims to ensure the management of commercial gaming centers and commercial gaming to contribute to economic growth, promote tourism, create jobs, collect income, maintain safety and social security by defining the authorities, rules and procedures for managing commercial gaming centers and commercial gaming, the rights and obligations of natural persons and legal entities in directly operating or participating in commercial gaming, and determining the rights of owners of commercial gaming centers and commercial gaming establishments, as well as establishing standards for commercial gaming centers and commercial gaming in the Kingdom of Cambodia.

The Document Conversion and Retrieval System (DOCRS) is a repository of building construction and real property based documents that have been completed. The documents are archival in nature and the system is accessed by CFM personnel and authorized station engineering personnel. Access to these documents limited due to security concerns because many of the documents are building plans type documents for structures throughout the VA. DOCRS is a web based system hosted within the VA intranet.

The DOT CIO Governance Board Membership List include all governance boards of which the CIO is a member.

The Highways Agency Geotechnical Data Management System - Geotechnical information about condition of the ground beneath the network and the earthworks (embankments and cuttings) that support the infrastructure