This is the current version of Oregon's Open Data Technical Standards Manual. The Technical Standards Manual provides guidelines for release of publishable data on the web portal at data.oregon.gov, and requirements for agencies publishing open spatial data in compliance with the State’s Open Data Standard.

Disability categories for US Department of Housing and Development (HUD) data standards. These standards apply for projects using the Homeless Management Information System (HMIS) for data collection and management. HMIS is a local information technology system used to collect client-level data and data on the provision of housing and services to individuals and families experiencing or at risk of houselessness. The Federal HUD HMIS standards preempt the City of Portland Rescue Plan Data Standards.-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60942

The City of Rochester and its staff use data about individuals in our community to inform decisions related to policies and programs we design, fund, and carry out. City staff must understand and be accountable to best practices and standards to guide the appropriate use of this information in an ethical and accurate manner that furthers the public good. With these disaggregated data standards, the City seeks to establish useful, uniform standards that guide City staff in their collection, stewardship, analysis, and reporting of information about individuals and their demographic characteristics.This internal guide provides recommended standards and practices to City of Rochester staff for the collection, analysis, and reporting of data related to following characteristics of an individual: Race & Ethnicity; Nativity & Citizenship Status; Language Spoken at Home & English Proficiency; Age; Sex, Gender, & Sexual Orientation; Marital Status; Disability; Address / Geography; Household Income & Size; Housing Tenure; Computer & Internet Use; Employment Status; Veteran Status; and Education Level. This kind of data that describes the characteristics of individuals in our community is disaggregated data. When we summarize data about these individuals and report the data at the group level, it becomes aggregated data. These disaggregated data standards can help City staff in different roles understand how to ask individuals about various demographic traits that may describe them, the collection of which may be useful to inform the City’s programs and policies. Note that this standards document does not mandate the collection of every one of these demographic factors for all analyses or program data intake designs – instead, it prompts City staff to intentionally design surveys and other data intake tools/applications to collect the right level of data to inform the City’s decision-making while also respecting the privacy of the individuals whose information the City seeks to gather. When a City team does choose to collect any of the above-mentioned demographic information about individuals in our community, we advise that they adhere to these standards.

Transforming human resources (HR) and pay for the Government of Canada into an integrated, flexible, and modern ecosystem is a complex challenge. To support these activities, the Human Capital Management (HCM) within Public Services and Procurement Canada (PSPC) is working to update processes, standards, and rules to govern HR and Pay data. HR and Pay Data Standards will support trustworthy, high-quality data to easily move throughout the enterprise, as needed, enabling improved insights, decision-making, and more streamlined business processes. These Data Standards will focus on core employee data attributes within the Single Employee Profile (SEP), such as: first and last names, date of birth, first official language, preferred language, home address, mailing address, province of residence, marital status, personal contact information (email, phone), security clearance, PRI, sex at birth, and other important HR and Pay data. These data standards are required above and beyond the GC enterprise data reference standards for the HR and Pay data domain. Progress in implementing these data standards is done through the Unified Actions for Pay (UAP) Measure 2.

Individuals can report more than one race category. This table maps the individual recipient's ID (from the Individual Recipients - HMIS Data Standards dataset) to HMIS Race ID (from the Race - HMIS Data Standards dataset).-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=61082

Legacy product - no abstract available

Geoscience data standards as a field of research may come as a surprise to many geoscientists, who probably think of it as a dull peripheral issue, of little relevance to their domain. However, the subject is gaining rapidly in importance as the information revolution begins to take hold, as ultimately billions of dollars worth of information are at stake. In this article we take a look at what has happened recently in this field, where we think it is heading, and AGSO's role in national geoscience standards.

The documents contained in this dataset reflect NASA's comprehensive IT policy in compliance with Federal Government laws and regulations.

This dataset provides information on Social Housing Asset Data at Salford City Council. Details are provided to meet the required standards of the Local Government Transparency Code 2014.

Effective data management plays a key role in oceanographic research as cruise-based data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above.

EPA has compiled state, territorial, and authorized tribal water quality standards that EPA has approved or are otherwise in effect for Clean Water Act purposes. This compilation is continuously updated as EPA approves new or revised WQS.Please note the water quality standards may contain additional provisions outside the scope of the Clean Water Act, its implementing federal regulations, or EPA's authority. In some cases, these additional provisions have been included as supplementary information. EPA is posting the water quality standards as a convenience to users and has made a reasonable effort to assure their accuracy. Additionally, EPA has made a reasonable effort to identify parts of the standards that are approved, disapproved, or are otherwise not in effect for Clean Water Act purposes.

Files related to the Geological Survey's contributions to the National Geothermal Database System, particularly related to the development of the system

The needs for data standards and formats in molecular biophysics were analysed mainly via a survey focused on data producers and users in the field: Biophysical Data Standards and Accessibility. The questions were focused on identifying the expertise and scientific interests of the respondents, their use of techniques of molecular biophysics, views on the current situation and needs in data formats standardisation and needs for repositories or databases. The data were collected using LimeSurvey technology. Anonymized raw dat, their processing and interpretation included in this dataset. The work was performed as part of the project MOlecular Scale Biophysics Research Infrastructure (MOSBRI).

Demographic dataset of individual recipients served by City of Portland Rescue Plan projects using Homeless Management Information System (HMIS) to collect and manage data. Demographic data follows the US Department of Housing and Development (HUD) HMIS data standards.-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60951

Modern magnetotellurics (MT) offers a multiscale capability to image the electrical properties of Earth’s crust and upper mantle. The data it provides and the models derived from it are important geophysical contributions to understanding Earth’s geology and resource potential. In Australia, MT data is acquired by the resource exploration industry, university-based research groups, and Federal, State and Territory geological surveys. To ensure this data can be used to its full potential, including by groups and individuals who may not have been responsible for its acquisition, it is important that community-agreed standards be adopted for the acquired data and its associated metadata. Citation: Jingming Duan, Alison Kirkby, Darren Kyi, Wenping Jiang, Marina Costelloe & Adrian Hitchman (2021) Metadata standards for magnetotelluric time-series data, Preview, 2021:215, 61-63. DOI: 10.1080/14432471.2021.2012035

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.

Introduction This reference data provides a standard list of values for all Canadian provinces and territories. The list reflects Canada’s 13 major political units. There are many coding systems for Canadian provinces and territories. The data standard shows the relationships among the recommended code and other common codes. Purpose This list is intended to standardize the way Canadian provinces and territories are described in datasets to enable data interoperability and improve data quality. Not included in this standard are previous names, abbreviations and codes for provinces and territories. When changes occur in the future, version history will be maintained. Applicability Use of the codes within the “Alpha Code” column is recommended when sharing data within the federal government or publishing data to the Open Government Portal. This alpha code was chosen for three reasons: 1. it is comprehensible for users 2. it is closely aligned with the ISO 3166-2 code for subdivision and is identical to the Canada Post abbreviation 3. it has already been adopted by a number of federal departments The Alpha Code exactly matches the set of codes created and managed by Canada Post. If Canada Post changes its codes, the Government of Canada will review and separately approve any changes to this reference standard. If it is necessary to use a numerical code in a data system, then the numerical code created by Statistics Canada is included in the table. Roles and responsibilities Data Standard Stewards Statistics Canada Statistical Geomatics Centre, Analytical Studies, Methodology and Statistical Infrastructure Field Natural Resources Canada Geographical Names Board of Canada Secretariat Data Standard Custodian Treasury Board of Canada Secretariat Office of the Chief Information Officer, Data and Digital Policy Sector Recommended Review Period The reference data standard will be reviewed as required. The expected frequency of change is low.

These data were collected using field portable (handheld) X-ray fluorescence (pXRF) equipped with a 4-watt Ta/Au X-ray tube on two National Institute of Standards and Technology (NIST) certified standard reference materials 2710a and 2711a, a U.S. Geological Survey (USGS) certified standard reference material BHVO-2, and a silicon dioxide blank. These quality assurance data were collected as part of detailed pXRF studies in Hinkley and Water Valleys, 140 kilometers (km) northeast of Los Angeles, California, and as part of a regional geochemical survey in the western Mojave Desert, between 60 to 210 km northeast of Los Angeles. Measurements on National Institute of Standards and Technology (NIST) and U.S. Geological Survey standard reference materials indicated the pXRF was sufficiently accurate for the purposes of these studies for chromium and selected trace elements. Results showed consistent clean (few to no measurable elements) measurements on a silica dioxide blank. Standard ...

This dataset is associated with NIST TN publication: Review of Smart Grid Standards for Testing and Certification (T&C) landscape analysis. It includes a list of 240 reviewed smart grid standards for T&C landscape analysis using a set of functional metrics that include information models and model mapping, communication protocols and protocol mapping, device physical performance, test method, guide and practice, and cybersecurity of standards. These functional metrics are used to analyze smart grid standards and their T&C program availability.