100+ datasets found
  1. v

    Digital Service Standards

    • data.virginiabeach.gov
    • data.virginia.gov
    Updated Nov 22, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Virginia Beach - Online Mapping (2022). Digital Service Standards [Dataset]. https://data.virginiabeach.gov/documents/6bdd712395f740568cd45d3a892e52a5
    Explore at:
    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Description

    Our Digital Service Standards. We work in multidisciplinary teams. To have teams that can design, build and implement the service, led by a senior service manager. A multidisciplinary team provides help with the following aspects:Building the service self-sufficiently, with no external dependencyConstantly improving based on the needs of the usersTaking decisions quicklyWe start with user needsTo develop greater knowledge about who uses the service and what that means for designing the service.This is fundamental for building a service with the following characteristics:It helps users do what they need to do easilyIt is based on actual needs of real users, not assumptionsWe use agile methods; we build iterationsTo build the service using agile iterative methods based on the end users.These methods help build services with the following characteristics:They meet the needs of usersThey are simple and convenient to useThey can easily adapt to technological or government changesThey constantly improveWe reduce the burden on the publicTo use information already held by the public authorities:To build interoperability with other public authorities to avoid asking the public to provide the same documents more than onceTo avoid unnecessary documentationTo ensure there is consent for the use of personal documentsWe use open code and open standardsTo use open code whenever possibleTo use open standards whenever possibleTo make all new code open and re-usable, and publish it with the proper licensesWe understand security, privacy and ethical issuesTo assess which user data and which user information the service will provide or store and tackle the following issues:Level of securityLegal responsibilitiesPrivacy aspects and risksUsers will not use the service if the following guarantees are not provided:ConfidentialityAccess to their information whenever they need itWe design a plan for service downtimeUsers will expect the service to be available 24 hours a day, 365 days a year.A plan must be in place for when services are temporarily offline. The effects of that on users must be understood and there must be ways to restore the service.We ensure excellent visual design and accessibilityTo build a service that is coherent with the user experience based on the visual design and accessibility guidelines.Time should be saved by re-using repeatable templates, enabling a focus on the unique parts of each serviceTemplates and styles based on user studies should be usedWe have a plan for people who need digital supportTo help people develop their digital skillsTo offer digital support to those who cannot use digital services on their ownWhen providing a basic service, to ensure it adapts to people with no digital devicesWe constantly assess the user experienceTo implement a plan to assess and test the user experience, in order to improve the service based on feedback.To check that the service helps users do what they have to doTo continue improving the service based on their needsWe assess the tools, systems and servicesTo assess the tools and systems used and ensure the following:The technology principles code is followed and the associated technical risks are understoodThe tools, systems and services can be procured sustainably, while guaranteeing vendor independenceThe services follow ethical data use principlesWe re-use what exists alreadyWhenever possible, services should try to re-use existing infrastructure and shared features to achieve the following:To create a coherent service experienceTo save time and resources when building features that already existWe implement a maintenance and support planTo have a plan for minimizing service downtime in the event of an incident.To identify the basic components of the service that should be monitored.To use key measures for ongoing service improvement.We measure and report on service PerformanceTo gather and present indicator scores in a coherent, structured, understandable and accessible manner for the public.To use operation and performance indicators to constantly improve the service:Learning about its strengths and weaknessesUsing the data as a basis for the desired improvementsWe have a plan for doing it all onlineThe digital services must allow the public to upload, sign and check their documents.If the public cannot provide documents digitally, the Data and Information Management Team must provide an alternative document digitalization serviceWe manage changeTo facilitate a transition between the current non-digital service and the new digital service.When a digital service is replaced, to have a transition plan for switching from the old service to the new service.To migrate existing data and documents to the new digital service formats.To avoid any interruptions when the public access the service and ensure there is a plan to encourage use of the new service.

  2. g

    Data from: United States Geological Survey Digital Cartographic Data...

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States Department of the Interior. United States Geological Survey (2015). United States Geological Survey Digital Cartographic Data Standards: Digital Line Graphs from 1:2,000,000-Scale Maps [Dataset]. http://doi.org/10.3886/ICPSR08379.v1
    Explore at:
    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of the Interior. United States Geological Survey
    Description

    This dataset consists of cartographic data in digital line graph (DLG) form for the northeastern states (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island and Vermont). Information is presented on two planimetric base categories, political boundaries and administrative boundaries, each available in two formats: the topologically structured format and a simpler format optimized for graphic display. These DGL data can be used to plot base maps and for various kinds of spatial analysis. They may also be combined with other geographically referenced data to facilitate analysis, for example the Geographic Names Information System.

  3. Meeting Minutes for the Data Standards Authority governance boards

    • gov.uk
    • s3.amazonaws.com
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government Digital Service (2025). Meeting Minutes for the Data Standards Authority governance boards [Dataset]. https://www.gov.uk/government/publications/meeting-minutes-for-the-data-standards-authority-governance-boards
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Government Digital Service
    Description

    The DSA is open and transparent about its processes and decisions. A steering board of cross-government stakeholders shapes its work and acts as decision making body. The work is further supported by a peer review group of subject matter experts drawn from across government, the devolved administrations, local government and other bodies. This page gathers the minutes of the meetings for the DSA Steering Board and the DSA Peer Review Group.

  4. Data related to the investigation of UUIDs for a standards-based digital...

    • catalog.data.gov
    • data.nist.gov
    Updated Sep 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2024). Data related to the investigation of UUIDs for a standards-based digital thread of product data in ISO 10303-242 [Dataset]. https://catalog.data.gov/dataset/data-related-to-the-investigation-of-uuids-for-a-standards-based-digital-thread-of-product
    Explore at:
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    This dataset contains data used in the investigation of Universally Unique Identifiers (UUIDs) that will enable a standards-based digital thread of product data in ISO 10303-242. Included are EXPRESS schema used for implementation and .stp files that were exported from native CAD (CATIA V5, Creo, and NX). UUIDs were assigned to CAD features during .stp export for each of the four design iterations.

  5. i

    Sentiment Analysis Approach-digital

    • ieee-dataport.org
    Updated Nov 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Qiang Cao (2023). Sentiment Analysis Approach-digital [Dataset]. https://ieee-dataport.org/documents/sentiment-analysis-approach-digital
    Explore at:
    Dataset updated
    Nov 14, 2023
    Authors
    Qiang Cao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    GABP-News

  6. NIST Public Data Inventory

    • catalog.data.gov
    Updated Mar 14, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2025). NIST Public Data Inventory [Dataset]. https://catalog.data.gov/dataset/nist-public-data-listing-050dc
    Explore at:
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    National Institute of Standards and Technology (NIST) public data inventory is a catalog of digital products generated from the NIST enterprise data inventory (EDI). The catalog is dynamically updated in coordination with mission goals for the dissemination of information for discovery and access. It includes digital products derived from multiple disciplines of scientific, engineering and technology areas of research and operation. This inventory is provided as a data.json file format, based on the DCAT-US Schema v1.1 standard definition.

  7. NGA Data Strategy (2021)

    • hub.arcgis.com
    Updated May 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GeoPlatform ArcGIS Online (2024). NGA Data Strategy (2021) [Dataset]. https://hub.arcgis.com/documents/6ef4349b1809401993881dfca760a292
    Explore at:
    Dataset updated
    May 3, 2024
    Dataset provided by
    https://arcgis.com/
    Authors
    GeoPlatform ArcGIS Online
    Description

    SDI | Data | Data Governance | News |NGA releases new data strategy to navigate digital, GEOINT revolution SPRINGFIELD, Virginia — The National Geospatial-Intelligence Agency published the agency’s data strategy Oct. 6, outlining its plans to transform and improve the way data is created, managed and shared in order to maintain dominance in the delivery of geospatial intelligence. “It is essential that we take all actions necessary to sustain our advantage in GEOINT — and that includes managing our data as a key strategic asset,’’ stated NGA Director Vice Adm. Robert Sharp in the data strategy. “With the holistic enterprise approach mapped out within this new data strategy, NGA sets forth a path for leading the way and staying ahead of our competitors.’’ The NGA Data Strategy 2021, a 28-page public document, includes both strategic goals and courses of action for the agency as it continues to chart a secure and innovative path forward while facing increasing amounts of data, risk and competition. Aligned to the agency’s Moonshot effort to “deliver trusted GEOINT with the speed, accuracy and precision required,’’ the strategy calls for the accelerated, shared and trusted use of data to help NGA better deliver on its mandates and show the way. The plan, created as a companion document to the NGA Technology Strategy published in 2020, already has played an integral role in the agency’s recent adoption of a new data governance structure to provide a coordinated framework for data policies and stewardship. The data strategy, combined with the established collaborative data governance program, guides the agency’s push to close the gap between current and future capabilities by accelerating developments in four significant focus areas: making data easily accessible, improving data reusability, improving cross-domain efficiencies and enabling next-generation GEOINT. The strategy describes four key goals being pursued by NGA to meet its mission and business needs. To achieve its desired results, the agency seeks to: — Manage data as a strategic asset: Deploy a federated enterprise data governance framework that ensures data is proactively, strategically and consistently managed while enabling agility, flexibility and innovation. Relationship to SDI'sThis reference resource provides a reference resource for SDI related activities in the intelligence community.The National Geospatial Intelligence Agency is a Federal participating organization in the Federal Geographic Data Committee. A Senior NGA Representative is a member of the FGDC Executive Committee A Senior NGA Representative is appointed by the Secretary of Interior to the National Geospatial Advisory Committee established in the Geospatial Data Act of 2018 "The head of each covered agency and the Director of the National Geospatial-Intelligence Agency shall each designate a representative of their respective agency to serve as a member of the Committee."The Geospatial Data Act of 2018 U.S.C 2804 Geospatial Standards, requires FGDC to "shall include universal data standards that shall be acceptable for the purposes of declassified intelligence community data"Additional ResourcesFederal Geographic Data CommitteeNational Geospatial Advisory CommitteeNational Geospatial Intelligence Agency National Geospatial Intelligence Agency Products and ServicesFGDC Standards

  8. U

    Data from: Digital Raster Graphic (DRG) image of U.S. Geological Survey...

    • data.usgs.gov
    • datasets.ai
    • +2more
    Updated Sep 1, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2021). Digital Raster Graphic (DRG) image of U.S. Geological Survey standard series topographic map of Rincon, Puerto Rico (rincon_drg.tif) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:8a8dbbf8-8fbc-44ed-8f03-098e5fbaf067
    Explore at:
    Dataset updated
    Sep 1, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jul 1, 1966
    Area covered
    Rincón, Puerto Rico
    Description

    The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. This version of the Digital Raster Graphic (DRG) has been clipped to remove the collar (white border of the map) and has been reprojected to geographic coordinates.

  9. Digital Data Loggers Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Digital Data Loggers Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-digital-data-loggers-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Digital Data Loggers Market Outlook



    The global market size for digital data loggers is projected to expand from USD 2.1 billion in 2023 to an anticipated USD 4.5 billion by 2032, growing at a CAGR of approximately 8.7% during the forecast period. This robust growth is driven by increasing demand for real-time data monitoring and stringent regulatory requirements across various industries.



    One of the primary growth factors for the digital data loggers market is the rising need for precise and reliable data monitoring solutions in various sectors, such as healthcare, pharmaceuticals, and food and beverages. These industries have stringent compliance and quality control mandates that require continuous monitoring of environmental parameters like temperature, humidity, and pressure. Digital data loggers provide an efficient solution for maintaining records and ensuring the integrity of data, thereby driving their adoption across these sectors.



    Technological advancements in data logging devices have also significantly contributed to market growth. Modern digital data loggers come equipped with advanced features such as wireless connectivity, cloud-based data storage, and multi-parameter monitoring capabilities. These technological innovations make data loggers more user-friendly and versatile, expanding their applications and driving market growth. Additionally, the integration of IoT (Internet of Things) technology in data loggers has opened up new avenues for remote monitoring and real-time data analysis, further bolstering market expansion.



    An increase in environmental monitoring initiatives by governments and private organizations worldwide has also augmented the demand for digital data loggers. These devices play a crucial role in monitoring environmental conditions, helping in the assessment and management of environmental risks. This trend is particularly prominent in regions facing environmental challenges such as pollution and climate change, thereby driving the market for digital data loggers.



    High Temperature Data Loggers are becoming increasingly vital in industries where precise temperature monitoring is crucial. These devices are particularly important in sectors such as pharmaceuticals and food processing, where maintaining specific temperature ranges is essential for product safety and compliance with regulatory standards. High temperature data loggers provide reliable and accurate data that help in ensuring the integrity of temperature-sensitive products throughout the supply chain. Their ability to withstand extreme conditions makes them indispensable tools in environments where traditional data loggers might fail. As industries continue to prioritize quality control and compliance, the demand for high temperature data loggers is expected to grow significantly.



    Regionally, North America holds a significant share of the digital data loggers market, driven by stringent regulatory requirements and high adoption rates of advanced monitoring solutions in the healthcare and pharmaceutical sectors. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to rapid industrialization, growing environmental monitoring initiatives, and increasing adoption of advanced technologies. Europe also presents substantial market opportunities, particularly in the food and beverage and environmental monitoring segments.



    Product Type Analysis



    The digital data loggers market can be segmented based on product type into temperature data loggers, humidity data loggers, pressure data loggers, multi-parameter data loggers, and others. Temperature data loggers hold a significant share of the market due to their widespread use in industries such as pharmaceuticals, healthcare, and food and beverages. The need to maintain precise temperature conditions for product safety and quality drives the demand for temperature data loggers.



    Humidity data loggers are also gaining traction, especially in industries where humidity control is crucial, such as in the storage and transportation of sensitive materials and products. These loggers help in maintaining optimal humidity levels, thereby ensuring the quality and longevity of products. The growing focus on maintaining quality standards in various industries is a significant driver for this segment.



    Pressure data loggers are essential in industries like oil and g

  10. f

    Data Sheet 1_Interoperability of telemonitoring data in digital health...

    • frontiersin.figshare.com
    docx
    Updated Apr 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Diogo Martins; Simon Lewerenz; Anderson Carmo; Henrique Martins (2025). Data Sheet 1_Interoperability of telemonitoring data in digital health solutions: a scoping review.docx [Dataset]. http://doi.org/10.3389/fdgth.2025.1502260.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset provided by
    Frontiers
    Authors
    Diogo Martins; Simon Lewerenz; Anderson Carmo; Henrique Martins
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectivesThis scoping review explores the existing literature on the interoperability of telemonitoring systems in cross-border healthcare settings. It focuses on identifying technical standards, enablers, and barriers to effective telemonitoring data exchange across healthcare systems and geographies.MethodsA systematic search was conducted across databases (MEDLINE, PubMed, ISI Web of Knowledge, DBLP, and Scopus) from January 2000 to May 2023, using keywords such as “telemonitoring”, “interoperability”, “technical standards”, and “cross-border data exchange”. Eligibility criteria included peer-reviewed studies examining the interoperability of telemonitoring systems across healthcare providers and cross-border settings. A total of 861 studies were identified, and 25 met the inclusion criteria.ResultsThe review identified diverse technical standards, including HL7 FHIR, ISO/IEEE 11073, and IHE profiles, used in telemonitoring systems. However, significant gaps were found in the literature regarding the operational challenges of telemonitoring systems, particularly in cross-border contexts. Many studies focused on technical aspects, with fewer addressing organizational and legal issues. Data transport types, such as Bluetooth and REST APIs, were mentioned, but no common standard for data exchange between devices was identified.DiscussionThe findings highlight the need for further research on the deployment of telemonitoring systems, particularly in cross-border contexts. The lack of harmonization in technical standards poses a barrier to achieving seamless interoperability. The review calls for the development of a robust framework to support telemonitoring integration across healthcare systems.ConclusionsWhile telemonitoring shows promise in improving healthcare delivery, significant interoperability challenges remain. Developing common standards at the European level is essential to enhance cross-border telemonitoring services and patient care.

  11. p

    Digital Terrain Model (Standard ICAO)

    • data.public.lu
    zip
    Updated Apr 2, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Administration de la navigation aérienne (2024). Digital Terrain Model (Standard ICAO) [Dataset]. https://data.public.lu/en/datasets/digital-terrain-model-standard-icao-2/
    Explore at:
    zip(26697161)Available download formats
    Dataset updated
    Apr 2, 2024
    Dataset authored and provided by
    Administration de la navigation aérienne
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In the scope of the International Civil Aviation Organization (ICAO) requiring countries and airports to provide electronic Terrain and Obstacle Data (eTOD), the Administration de la navigation aérienne has been tasked by the Government to take the steps necessary to comply with this requirement. This Digital Terrain Model (DTM) is the result of a first LIDAR survey flight that has been done in October 2017 and corresponds to the standards required by ICAO. For this reason this DTM also uses the international reference systems WGS84 and EGM2008. The data itself is split up in 4 different areas, which are specified as follows: Area 1: The entire territory of Luxembourg; Area 2: Terminal Control Area (this area is larger than the territory of Luxembourg); Area 3: Aerodrome movement area; Area 4: Category II or III operations (Runway 24). The different areas come with different numerical requirements, such as data accuracy and resolution. Follow the links in the description or consult metadata for further Information.

  12. Data from: Enhancing semantic expressivity in the cultural heritage domain:...

    • figshare.com
    pdf
    Updated May 31, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    marilena daquino; Silvio Peroni; Francesca Mambelli; Francesca Tomasi; Fabio Vitali (2017). Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data [Dataset]. http://doi.org/10.6084/m9.figshare.5053960.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 31, 2017
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    marilena daquino; Silvio Peroni; Francesca Mambelli; Francesca Tomasi; Fabio Vitali
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A paper introducing the development of two ontologies for representing the Arts and Photography domains, and the realization of the Zeri Photo Archive RDF Dataset.

  13. Electronic Digital Data Logger Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Electronic Digital Data Logger Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/electronic-digital-data-logger-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Electronic Digital Data Logger Market Outlook



    The global market size of the Electronic Digital Data Logger Market is projected to experience significant growth, expanding from an estimated USD 2.5 billion in 2023 to over USD 5.8 billion by 2032, at a robust CAGR of 10%. This substantial growth is primarily driven by the increasing demand for precise and reliable data monitoring across various industries, particularly in sectors that require stringent compliance with regulatory standards.



    One of the primary growth factors for the electronic digital data logger market is the heightened emphasis on regulatory compliance and quality control in critical industries such as healthcare and food and beverage. The need to maintain precise environmental conditions, such as temperature and humidity, necessitates the use of advanced data loggers to ensure that products remain within safe parameters. This not only helps in maintaining product quality but also in avoiding costly recalls and ensuring patient safety in healthcare settings.



    Another significant driver is the rapid technological advancements in data logging devices, which have led to the introduction of more sophisticated, user-friendly, and efficient products. Innovations such as wireless and Bluetooth-enabled loggers, along with cloud-based monitoring systems, have enhanced data accessibility and real-time monitoring capabilities. These technological improvements are particularly beneficial in remote and complex environments where traditional data logging methods may be impractical or less effective.



    The growth of the Internet of Things (IoT) and the increasing adoption of smart devices are also contributing to the market's expansion. IoT-enabled data loggers offer seamless integration with other smart systems, providing comprehensive monitoring and data analytics solutions. This integration is crucial for industries like environmental monitoring and oil and gas, where continuous data collection and analysis are vital for operational efficiency and safety. The ability of these devices to provide real-time data and alerts facilitates proactive maintenance and decision-making processes.



    The evolution of data loggers has seen the emergence of specialized devices like Portable Temperature and Humidity Data Loggers, which are particularly useful in industries that require mobility and flexibility in monitoring. These portable devices are designed to be compact and easy to transport, making them ideal for field studies and on-site inspections. Their ability to provide accurate readings in varying environmental conditions ensures that critical data is captured without interruption. Industries such as pharmaceuticals, food and beverage, and environmental research benefit from the portability of these loggers, as they allow for real-time data collection and analysis in diverse settings. The convenience and efficiency offered by portable data loggers make them an essential tool for professionals who need to monitor conditions on the go.



    Regionally, North America holds a significant market share due to the presence of stringent regulatory standards and a well-established industrial base. However, the Asia Pacific region is expected to witness the fastest growth, propelled by rapid industrialization, increasing investments in infrastructure, and growing awareness about the importance of data monitoring. Countries like China and India are seeing a surge in demand for data loggers across various sectors, further augmenting the market's growth in this region.



    Product Type Analysis



    In the realm of product types, USB data loggers hold a substantial share of the market. These devices are prized for their ease of use, affordability, and versatility across various applications. USB data loggers are particularly favored in situations where data needs to be periodically downloaded and analyzed on a computer. Their portability and straightforward interface make them an ideal choice for many small to medium-sized enterprises that require reliable data logging without the need for complex infrastructure.



    Bluetooth data loggers are gaining traction due to their wireless capabilities, which allow for more flexible and convenient data collection. These loggers can easily pair with mobile devices, enabling users to monitor conditions in real-time via dedicated apps. This is particularly beneficial in industries where mobility is crucial, such

  14. Data reference standard on Canadian Provinces and Territories

    • open.canada.ca
    • ouvert.canada.ca
    csv, json
    Updated Mar 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Treasury Board of Canada Secretariat (2025). Data reference standard on Canadian Provinces and Territories [Dataset]. https://open.canada.ca/data/en/dataset/cd8fad92-b276-4250-972f-2d6c40ca04fa
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset provided by
    Treasury Board of Canada Secretariathttp://www.tbs-sct.gc.ca/
    Treasury Board of Canadahttps://www.canada.ca/en/treasury-board-secretariat/corporate/about-treasury-board.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    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.

  15. Data Governance Market Analysis North America, Europe, APAC, South America,...

    • technavio.com
    Updated Oct 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2024). Data Governance Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Germany, Canada, Singapore, Australia, UK, France, The Netherlands, India, Sweden - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/data-governance-market-industry-analysis
    Explore at:
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Sweden, United States, Canada, Global
    Description

    Snapshot img

    Data Governance Market Size 2024-2028

    The data governance market size is forecast to increase by USD 5.39 billion at a CAGR of 21.1% between 2023 and 2028. The market is experiencing significant growth due to the increasing importance of informed decision-making in business operations. With the rise of remote workforces and the continuous generation of data from various sources, including medical devices and IT infrastructure, the need for strong data governance policies has become essential. With the data deluge brought about by the Internet of Things (IoT) device implementation and remote patient monitoring, ensuring data completeness, security, and oversight has become crucial. Stricter regulations and compliance requirements for data usage are driving market growth, as organizations seek to ensure accountability and resilience in their data management practices. companies are responding by launching innovative solutions to help businesses navigate these complexities, while also addressing the continued reliance on legacy systems. Ensuring data security and compliance, particularly in handling sensitive information, remains a top priority for organizations. In the healthcare sector, data governance is particularly crucial for ensuring the security and privacy of sensitive patient information.

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    Data governance refers to the overall management of an organization's information assets. In today's digital landscape, ensuring secure and accurate data is crucial for businesses to gain meaningful insights and make informed decisions. With the increasing adoption of digital transformation, big data, IoT technologies, and healthcare industries' digitalization, the need for sophisticated data governance has become essential. Policies and standards are the backbone of a strong data governance strategy. They provide guidelines for managing data's quality, completeness, accuracy, and security. In the context of the US market, these policies and standards are essential for maintaining trust and accountability within an organization and with its stakeholders.

    Moreover, data volumes have been escalating, making data management strategies increasingly complex. Big data and IoT device implementation have led to data duplication, which can result in data deluge. In such a scenario, data governance plays a vital role in ensuring data accuracy, completeness, and security. Sensitive information, such as patient records in the healthcare sector, is of utmost importance. Data governance policies and standards help maintain data security and privacy, ensuring that only authorized personnel have access to this information. Medical research also benefits from data governance, as it ensures the accuracy and completeness of data used for analysis.

    Furthermore, data security is a critical aspect of data governance. With the increasing use of remote patient monitoring and digital health records, ensuring data security becomes even more important. Data governance policies and standards help organizations implement the necessary measures to protect their information assets from unauthorized access, use, disclosure, disruption, modification, or destruction. In conclusion, data governance is a vital component of any organization's digital strategy. It helps ensure high-quality data, secure data, and meaningful insights. By implementing strong data governance policies and standards, organizations can maintain trust and accountability, protect sensitive information, and gain a competitive edge in today's data-driven market.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Application
    
      Risk management
      Incident management
      Audit management
      Compliance management
      Others
    
    
    Deployment
    
      On-premises
      Cloud-based
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
        France
        Sweden
    
    
      APAC
    
        India
        Singapore
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Application Insights

    The risk management segment is estimated to witness significant growth during the forecast period. Data governance is a critical aspect of managing data in today's business environment, particularly in the context of wearables and remote monitoring tools. With the increasing use of these technologies for collecting and transmitting sensitive health and personal data, the risk of data breaches and cybersecurity threats has become a significant concern. Compliance regulations such as HIPAA and GDPR mandate strict data management practices to protect this information. To address these challenges, advanced data governance solutions are being adopted.

  16. d

    Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky (NPS, GRD, GRI,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky (NPS, GRD, GRI, MACA, RHOD digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Klemic (1963) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-rhoda-quadrangle-kentucky-nps-grd-gri-maca-rhod-digital-ma
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Service
    Area covered
    Kentucky
    Description

    The Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (rhod_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (rhod_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (rhod_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (rhod_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (rhod_geology_metadata.txt or rhod_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  17. Digital Bedrock Geologic-GIS Map of the Twin Bridges Quadrangle, Tennessee...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). Digital Bedrock Geologic-GIS Map of the Twin Bridges Quadrangle, Tennessee (NPS, GRD, GRI, OBED, TWBR_bedrock digital map) adapted from a Tennessee Division of Geology Geologic Quadrangle Map by Coker (1965) [Dataset]. https://catalog.data.gov/dataset/digital-bedrock-geologic-gis-map-of-the-twin-bridges-quadrangle-tennessee-nps-grd-gri-obed
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The Digital Bedrock Geologic-GIS Map of the Twin Bridges Quadrangle, Tennessee is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (twbr_bedrock_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (twbr_bedrock_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (obed_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (obed_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (twbr_bedrock_geology_metadata_faq.pdf). Please read the obed_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (twbr_bedrock_geology_metadata.txt or twbr_bedrock_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  18. H

    Data from: Why I participated in writing Chapter 33, “Digital Standards of...

    • dataverse.harvard.edu
    Updated Feb 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sun Huh (2025). Why I participated in writing Chapter 33, “Digital Standards of Scholarly Journal Publishing,” of the 9th edition of The CSE Manual: Scientific Style and Format for Authors, Editors, and Publishers [Dataset]. http://doi.org/10.7910/DVN/FYNZ1Q
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Sun Huh
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Suppl. 1. Overview of the newest chapter in The CSE Manual, highlighting the most noteworthy aspects of Chapter 33, “Digital Standards of Scholarly Publishing.” Presented at the 2024 CSE Annual Meeting on May 6, 2024.

  19. d

    107-year 1st Economic Development Edition Topographic Map Digital Data File...

    • data.gov.tw
    csv
    Updated Jul 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ministry of the Interior Land Surveying and Mapping Center (2025). 107-year 1st Economic Development Edition Topographic Map Digital Data File (1:100,000 scale) (SHP file) [Dataset]. https://data.gov.tw/en/datasets/102169
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Ministry of the Interior Land Surveying and Mapping Center
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The "Planimetric Map Digital Data File (scale is 1:25,000, 1:50,000 and 1:100,000)" of this center was listed as class A data in the "Second Meeting of the 105th Executive Yuan Open Data Consultation Group" and was revised and issued by the Ministry of the Interior on July 26, 105th, under the Taiwan-Nei-Di-Zi No. 1051306149 Order to amend and promulgate the "Charging Standards for Land Surveying and Mapping Results Data". The attached Annex 2 to Paragraph 2 of the aforementioned standards opened the data for free download and use. Please note that the Planimetric Map Digital Data File does not include contour line layers.

  20. NIST Digital Video 1 - NIST Special Database 26

    • catalog.data.gov
    • data.nist.gov
    • +1more
    Updated Apr 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2024). NIST Digital Video 1 - NIST Special Database 26 [Dataset]. https://catalog.data.gov/dataset/nist-digital-video-1-nist-special-database-26-4c873
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    NIST Digital Video 1 is a public-domain collection of digital video created to encourage more researchers to address real-world problems and support the scientific comparison of solutions of digital video search, retrieval, and display. This collection consists of eight videos, totaling over two hours in length, selected from NIST's public domain archive of marketing, technical, and educational material. The characteristics of these videos include, but are not limited to, different levels of motion (static to fast moving objects), close-up figures (talking heads, moving arms, and moving hands), outdoor shots (laboratory, auditorium, and conference room environments), and various levels and quality of audio. In addition to the base data (titles below), pre- or post-production transcripts are included as reference data.It is our intent to gather feedback on the use of this collection, the need for additional base data, and further requirements for reference data (or "truth"). Please send email to dvr-info@nist.gov with questions, comments, or suggestions. Or, visit the Digital Video Retrieval web site at http://www.itl.nist.gov/iaui/894.02/projects/dv .Below is the title of each video included as base data on "Digital Video 1".NIST in 5 Minutes and 41 SecondsInformational tour of the agency and its efforts to promote economic growth by working with industry to develop and apply technology, measurements, and standards.Enhanced Aerial Lift ControllerDescribes how the controller may provide solutions to many jobs that cannot be addressed with existing commercial aerial lifts.Portsmouth Flexible Manufacturing WorkstationDescribes the Portsmouth Fastener Workstation, which makes accurate threaded fasteners for Navy ships.You Don't Have To Be There... Telepresence MicroscopyThe program shows how telepresence can provide the potential for remote, instantaneous, around-the-clock access to critical metrology services using the Internet (1998).A Decade of Business Excellence for AmericaHighlights the decade of excellence as seen through the Malcolm Baldrige National Quality Award.A Uniquely Rewarding ExperienceDescribes the advantages of becoming a Baldrige Quality Award examiner.Aircraft Hangar Fires: Fire Protection ImprovementsDescribes how NIST and the U.S. Navy conducted tests on sprinkler and heat detection systems in high bay aircraft hangars in Iceland and Hawaii.Engineer in SpacePublic lecture which describes a NIST engineer's adventure and research on two missions aboard the space shuttle Columbia.System Requirements: DVD-ROM drive for accessing the digitized video collection and a compatible MPEG decoder is needed to view the collection. Note: Not for use in set-top boxes. Reference data is best viewed using a browser which supports HTML 1.0.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Virginia Beach - Online Mapping (2022). Digital Service Standards [Dataset]. https://data.virginiabeach.gov/documents/6bdd712395f740568cd45d3a892e52a5

Digital Service Standards

Explore at:
91 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 22, 2022
Dataset authored and provided by
City of Virginia Beach - Online Mapping
Description

Our Digital Service Standards. We work in multidisciplinary teams. To have teams that can design, build and implement the service, led by a senior service manager. A multidisciplinary team provides help with the following aspects:Building the service self-sufficiently, with no external dependencyConstantly improving based on the needs of the usersTaking decisions quicklyWe start with user needsTo develop greater knowledge about who uses the service and what that means for designing the service.This is fundamental for building a service with the following characteristics:It helps users do what they need to do easilyIt is based on actual needs of real users, not assumptionsWe use agile methods; we build iterationsTo build the service using agile iterative methods based on the end users.These methods help build services with the following characteristics:They meet the needs of usersThey are simple and convenient to useThey can easily adapt to technological or government changesThey constantly improveWe reduce the burden on the publicTo use information already held by the public authorities:To build interoperability with other public authorities to avoid asking the public to provide the same documents more than onceTo avoid unnecessary documentationTo ensure there is consent for the use of personal documentsWe use open code and open standardsTo use open code whenever possibleTo use open standards whenever possibleTo make all new code open and re-usable, and publish it with the proper licensesWe understand security, privacy and ethical issuesTo assess which user data and which user information the service will provide or store and tackle the following issues:Level of securityLegal responsibilitiesPrivacy aspects and risksUsers will not use the service if the following guarantees are not provided:ConfidentialityAccess to their information whenever they need itWe design a plan for service downtimeUsers will expect the service to be available 24 hours a day, 365 days a year.A plan must be in place for when services are temporarily offline. The effects of that on users must be understood and there must be ways to restore the service.We ensure excellent visual design and accessibilityTo build a service that is coherent with the user experience based on the visual design and accessibility guidelines.Time should be saved by re-using repeatable templates, enabling a focus on the unique parts of each serviceTemplates and styles based on user studies should be usedWe have a plan for people who need digital supportTo help people develop their digital skillsTo offer digital support to those who cannot use digital services on their ownWhen providing a basic service, to ensure it adapts to people with no digital devicesWe constantly assess the user experienceTo implement a plan to assess and test the user experience, in order to improve the service based on feedback.To check that the service helps users do what they have to doTo continue improving the service based on their needsWe assess the tools, systems and servicesTo assess the tools and systems used and ensure the following:The technology principles code is followed and the associated technical risks are understoodThe tools, systems and services can be procured sustainably, while guaranteeing vendor independenceThe services follow ethical data use principlesWe re-use what exists alreadyWhenever possible, services should try to re-use existing infrastructure and shared features to achieve the following:To create a coherent service experienceTo save time and resources when building features that already existWe implement a maintenance and support planTo have a plan for minimizing service downtime in the event of an incident.To identify the basic components of the service that should be monitored.To use key measures for ongoing service improvement.We measure and report on service PerformanceTo gather and present indicator scores in a coherent, structured, understandable and accessible manner for the public.To use operation and performance indicators to constantly improve the service:Learning about its strengths and weaknessesUsing the data as a basis for the desired improvementsWe have a plan for doing it all onlineThe digital services must allow the public to upload, sign and check their documents.If the public cannot provide documents digitally, the Data and Information Management Team must provide an alternative document digitalization serviceWe manage changeTo facilitate a transition between the current non-digital service and the new digital service.When a digital service is replaced, to have a transition plan for switching from the old service to the new service.To migrate existing data and documents to the new digital service formats.To avoid any interruptions when the public access the service and ensure there is a plan to encourage use of the new service.

Search
Clear search
Close search
Google apps
Main menu