100+ datasets found
  1. Data from: Standards Incorporated by Reference (SIBR) Database

    • catalog.data.gov
    • data.nist.gov
    • +2more
    Updated Sep 30, 2023
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    National Institute of Standards and Technology (2023). Standards Incorporated by Reference (SIBR) Database [Dataset]. https://catalog.data.gov/dataset/standards-incorporated-by-reference-sibr-database
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    Dataset updated
    Sep 30, 2023
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    This is a searchable historical collection of standards referenced in regulations - Voluntary consensus standards, government-unique standards, industry standards, and international standards referenced in the Code of Federal Regulations (CFR).

  2. FDA Recognized Consensus Standards

    • data.virginia.gov
    • healthdata.gov
    • +3more
    html
    Updated Jul 26, 2023
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    U.S. Food and Drug Administration (2023). FDA Recognized Consensus Standards [Dataset]. https://data.virginia.gov/dataset/fda-recognized-consensus-standards
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    htmlAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Food and Drug Administrationhttp://www.fda.gov/
    Description

    This database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information the Center can use to make an appropriate decision regarding the clearance or approval of a submission. Information submitted on conformance with such standards will have a direct bearing on safety and effectiveness determinations made during the review of IDEs, HDEs, PMAs, and PDPs. Conformance with recognized consensus standards in and of itself, however, may not always be a sufficient basis for regulatory decisions.

  3. d

    FDA Recognized Consensus Standards.

    • datadiscoverystudio.org
    Updated Jun 9, 2018
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    (2018). FDA Recognized Consensus Standards. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/9c3fb0e2f2174ca88414f59d7b87b659/html
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    Dataset updated
    Jun 9, 2018
    Description

    description:

    This database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information the Center can use to make an appropriate decision regarding the clearance or approval of a submission. Information submitted on conformance with such standards will have a direct bearing on safety and effectiveness determinations made during the review of IDEs, HDEs, PMAs, and PDPs. Conformance with recognized consensus standards in and of itself, however, may not always be a sufficient basis for regulatory decisions.

    ; abstract:

    This database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information the Center can use to make an appropriate decision regarding the clearance or approval of a submission. Information submitted on conformance with such standards will have a direct bearing on safety and effectiveness determinations made during the review of IDEs, HDEs, PMAs, and PDPs. Conformance with recognized consensus standards in and of itself, however, may not always be a sufficient basis for regulatory decisions.

  4. Database Infrastructure for Mass Spectrometry - Per- and Polyfluoroalkyl...

    • data.nist.gov
    • catalog.data.gov
    Updated Jul 5, 2023
    + more versions
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    National Institute of Standards and Technology (2023). Database Infrastructure for Mass Spectrometry - Per- and Polyfluoroalkyl Substances [Dataset]. http://doi.org/10.18434/mds2-2905
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    License

    https://www.nist.gov/open/licensehttps://www.nist.gov/open/license

    Description

    Data here contain and describe an open-source structured query language (SQLite) portable database containing high resolution mass spectrometry data (MS1 and MS2) for per- and polyfluorinated alykl substances (PFAS) and associated metadata regarding their measurement techniques, quality assurance metrics, and the samples from which they were produced. These data are stored in a format adhering to the Database Infrastructure for Mass Spectrometry (DIMSpec) project. That project produces and uses databases like this one, providing a complete toolkit for non-targeted analysis. See more information about the full DIMSpec code base - as well as these data for demonstration purposes - at GitHub (https://github.com/usnistgov/dimspec) or view the full User Guide for DIMSpec (https://pages.nist.gov/dimspec/docs). Files of most interest contained here include the database file itself (dimspec_nist_pfas.sqlite) as well as an entity relationship diagram (ERD.png) and data dictionary (DIMSpec for PFAS_1.0.1.20230615_data_dictionary.json) to elucidate the database structure and assist in interpretation and use.

  5. W

    CIO-DSAS Pol and Standards Database

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    Updated Dec 28, 2019
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    United Kingdom (2019). CIO-DSAS Pol and Standards Database [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/cio-dsas-pol-and-standards-database
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    Dataset updated
    Dec 28, 2019
    Dataset provided by
    United Kingdom
    Description

    A repository for information relating to DSAS Accreditation teams systems for the purposes of data analysis (Pol and Standards Team, serial 1, of CIO-DSAS Information Asset Register)

  6. d

    Open Data Technical Standards Manual

    • catalog.data.gov
    • data.oregon.gov
    • +1more
    Updated Mar 29, 2024
    + more versions
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    data.oregon.gov (2024). Open Data Technical Standards Manual [Dataset]. https://catalog.data.gov/dataset/draft-open-data-technical-standards-manual
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    Dataset updated
    Mar 29, 2024
    Dataset provided by
    data.oregon.gov
    Description

    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.

  7. e

    National Occupational Standards (NOS) database

    • data.europa.eu
    Updated Nov 1, 2021
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    UK Commission for Employment and Skills (2021). National Occupational Standards (NOS) database [Dataset]. https://data.europa.eu/data/datasets/national-occupational-standards-nos-database?locale=da
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    Dataset updated
    Nov 1, 2021
    Dataset authored and provided by
    UK Commission for Employment and Skills
    Description

    This database holds National Occupational Standards (NOS) approved by all four UK nations. National Occupational Standards are statements of the standards of performance individuals must achieve when carrying out functions in the workplace, together with specifications of the underpinning knowledge and understanding. The database is also used as the mechanism for approving National Occupational Standards.

  8. Food Standards Agency Standard Recipes Database, 1992-2012

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2017
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    MRC Human Nutrition Research (2017). Food Standards Agency Standard Recipes Database, 1992-2012 [Dataset]. http://doi.org/10.5255/ukda-sn-8159-1
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    Dataset updated
    2017
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    MRC Human Nutrition Research
    Description

    The Food Standards Agency Standard Recipes Database, 1992-2012 study includes 8,397 up-to-date recipes (for food products), guidance notes and a project report.

    The Food Standards Agency (FSA) requires information on components of food dishes to ensure that foods consumed as ingredients of other foods are accounted for in dietary exposure assessments, as far as practicable and where appropriate. Exposure assessment is a vital component of risk assessment. Consumer dietary exposure assessment, in its simplest form, involves combining data on the amount of consumption of a food with data on the level of a chemical in the food in order to estimate the amount of the chemical ingested by an individual in a population over the period of the survey. UK consumption patterns are generally derived from two surveys: (i) National Diet and Nutrition Survey (NDNS) which provides detailed, quantitative information on food consumption, nutrient intakes and related characteristics in the general population. (ii) Diet and Nutrition Survey of Infants and Young Children (DNSIYC), 2011 which provides nationally representative data on the types and quantities of foods consumed by the 4 to 18 month age group. Food ingredients (recipe) information from the Recipes Database is used to break down the consumption of foods recorded in dietary surveys into consumption of their ingredients. Total consumption of a particular ingredient can then be calculated more accurately from all sources (e.g. "total apples" would include apples eaten as: fresh fruit, in a baked apple pie, as part of a fruit salad, from juice etc.). FSA commissioned a project (completed in 2015) to rebuild its recipes database. The protocol developed for this project included derivation of standardised recipes. The recipes represent foods consumed in the UK, as reported in national nutrition surveys. Recipes have been produced using a consistent approach and a well-documented methodology to ensure transparency.

  9. a

    MAR Address Standards

    • hub.arcgis.com
    • opendata.dc.gov
    • +2more
    Updated Apr 9, 2021
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    City of Washington, DC (2021). MAR Address Standards [Dataset]. https://hub.arcgis.com/documents/463a635fc6ea4288b9be4126323365d0
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    Dataset updated
    Apr 9, 2021
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    This Address Standards document has been developed to describe the addressing standards used for the Master Address Repository (MAR). The MAR is DC Government’s official address database and is widely used across the City of Washington, DC. The OCTO Data Team which is part of the Office of the Chief Technology Officer (OCTO), is responsible for maintaining the MAR.

  10. d

    Data from: USDA National Nutrient Database for Standard Reference Dataset...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +3more
    Updated Apr 21, 2025
    + more versions
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    Agricultural Research Service (2025). USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR) [Dataset]. https://catalog.data.gov/dataset/usda-national-nutrient-database-for-standard-reference-dataset-for-what-we-eat-in-america--37895
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Service
    Area covered
    United States
    Description

    The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition Examination Survey (WWEIA, NHANES). Historically, USDA databases have been used for national nutrition monitoring (1). Currently, the Food and Nutrient Database for Dietary Studies (FNDDS) (2), is used by Food Surveys Research Group, ARS, to process dietary intake data from WWEIA, NHANES. Nutrient values for FNDDS are based on Survey-SR. Survey-SR was referred to as the "Primary Data Set" in older publications. Early versions of the dataset were composed mainly of commodity-type items such as wheat flour, sugar, milk, etc. However, with increased consumption of commercial processed and restaurant foods and changes in how national nutrition monitoring data are used (1), many commercial processed and restaurant items have been added to Survey-SR. The current version, Survey-SR 2013-2014, is mainly based on the USDA National Nutrient Database for Standard Reference (SR) 28 (2) and contains sixty-six nutrientseach for 3,404 foods. These nutrient data will be used for assessing intake data from WWEIA, NHANES 2013-2014. Nutrient profiles were added for 265 new foods and updated for about 500 foods from the version used for the previous survey (WWEIA, NHANES 2011-12). New foods added include mainly commercially processed foods such as several gluten-free products, milk substitutes, sauces and condiments such as sriracha, pesto and wasabi, Greek yogurt, breakfast cereals, low-sodium meat products, whole grain pastas and baked products, and several beverages including bottled tea and coffee, coconut water, malt beverages, hard cider, fruit-flavored drinks, fortified fruit juices and fruit and/or vegetable smoothies. Several school lunch pizzas and chicken products, fast-food sandwiches, and new beef cuts were also added, as they are now reported more frequently by survey respondents. Nutrient profiles were updated for several commonly consumed foods such as cheddar, mozzarella and American cheese, ground beef, butter, and catsup. The changes in nutrient values may be due to reformulations in products, changes in the market shares of brands, or more accurate data. Examples of more accurate data include analytical data, market share data, and data from a nationally representative sample. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES 2013-14 (Survey SR 2013-14). File Name: SurveySR_2013_14 (1).zipResource Description: Access database downloaded on November 16, 2017. US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR), October 2015. Resource Title: Data Dictionary. File Name: SurveySR_DD.pdf

  11. F

    Net Percentage of Domestic Banks Tightening Standards for Commercial and...

    • fred.stlouisfed.org
    json
    Updated May 12, 2025
    + more versions
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    (2025). Net Percentage of Domestic Banks Tightening Standards for Commercial and Industrial Loans to Large and Middle-Market Firms [Dataset]. https://fred.stlouisfed.org/series/DRTSCILM
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    jsonAvailable download formats
    Dataset updated
    May 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net Percentage of Domestic Banks Tightening Standards for Commercial and Industrial Loans to Large and Middle-Market Firms (DRTSCILM) from Q2 1990 to Q2 2025 about tightening standards, commercial, domestic, Net, percent, loans, industry, and USA.

  12. e

    Templates for developing and versioning data standards and reporting formats...

    • knb.ecoinformatics.org
    • search.dataone.org
    • +1more
    Updated Jul 2, 2021
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    Robert Crystal-Ornelas; Charuleka Varadharajan; Ben Bond-Lamberty; Kristin Boye; Madison Burrus; Shreyas Cholia; Michael Crow; Joan Damerow; Ranjeet Davarakonda; Kim S. Ely; Amy Goldman; Susan Heinz; Valerie Hendrix; Zarine Kakalia; Stephanie Pennington; Emily Robles; Alistair Rogers; Maegen Simmonds; Terri Velliquette; Helen Weierbach; Pamela Weisenhorn; Jessica N. Welch; Deborah A. Agarwal (2021). Templates for developing and versioning data standards and reporting formats using GitHub [Dataset]. http://doi.org/10.15485/1780564
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    Dataset updated
    Jul 2, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    Robert Crystal-Ornelas; Charuleka Varadharajan; Ben Bond-Lamberty; Kristin Boye; Madison Burrus; Shreyas Cholia; Michael Crow; Joan Damerow; Ranjeet Davarakonda; Kim S. Ely; Amy Goldman; Susan Heinz; Valerie Hendrix; Zarine Kakalia; Stephanie Pennington; Emily Robles; Alistair Rogers; Maegen Simmonds; Terri Velliquette; Helen Weierbach; Pamela Weisenhorn; Jessica N. Welch; Deborah A. Agarwal
    Time period covered
    Sep 1, 2020 - Dec 3, 2020
    Description

    This data package contains three templates that can be used for creating README files and Issue Templates, written in the markdown language, that support community-led data reporting formats. We created these templates based on the results of a systematic review (see related references) that explored how groups developing data standard documentation use the Version Control platform GitHub, to collaborate on supporting documents. Based on our review of 32 GitHub repositories, we make recommendations for the content of README Files (e.g., provide a user license, indicate how users can contribute) and so 'README_template.md' includes headings for each section. The two issue templates we include ('issue_template_for_all_other_changes.md' and 'issue_template_for_documentation_change.md') can be used in a GitHub repository to help structure user-submitted issues, or can be modified to suit the needs of data standard developers. We used these templates when establishing ESS-DIVE's community space on GitHub (https://github.com/ess-dive-community) that includes documentation for community-led data reporting formats. We also include file-level metadata 'flmd.csv' that describes the contents of each file within this data package. Lastly, the temporal range that we indicate in our metadata is the time range during which we searched for data standards documented on GitHub.

  13. NASA Standards and and Technical Assistance Resource Tool - Dataset - NASA...

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). NASA Standards and and Technical Assistance Resource Tool - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/nasa-standards-and-and-technical-assistance-resource-tool
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The NASA Technical Standards Program provides access to NASA developed standards and handbooks. The NASA Standards and Technical Assistance Resource Tool, or START, is a Web tool sponsored by the NASA Technical Standards Program. The idea is to make it simpler for technical people to access great NASA technical information quickly and conveniently.

  14. i

    Literature data

    • ieee-dataport.org
    Updated May 18, 2022
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    Chunlei Tang (2022). Literature data [Dataset]. https://ieee-dataport.org/documents/literature-data
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    Dataset updated
    May 18, 2022
    Authors
    Chunlei Tang
    License

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

    Description

    ” “epidemiology

  15. Food Standards Agency Data

    • kaggle.com
    Updated Apr 11, 2024
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    Aman Praveen (2024). Food Standards Agency Data [Dataset]. https://www.kaggle.com/datasets/amanpraveen/food-ratings-data/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aman Praveen
    Description

    Data Source:

  16. Data from: NIST Chemistry WebBook - SRD 69

    • catalog.data.gov
    • webbook.nist.gov
    • +3more
    Updated Jul 29, 2022
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    National Institute of Standards and Technology (2022). NIST Chemistry WebBook - SRD 69 [Dataset]. https://catalog.data.gov/dataset/nist-chemistry-webbook-srd-69-de237
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    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The NIST Chemistry WebBook provides users with easy access to chemical and physical property data for chemical species through the internet. The data provided in the site are from collections maintained by the NIST Standard Reference Data Program and outside contributors. Data in the WebBook system are organized by chemical species. The WebBook system allows users to search for chemical species by various means. Once the desired species has been identified, the system will display data for the species. Data include thermochemical properties of species and reactions, thermophysical properties of species, and optical, electronic and mass spectra.

  17. Mapping of NIST Cybersecurity Framework v1.1 to NERC CIP Reliability...

    • data.nist.gov
    • catalog.data.gov
    Updated Jan 8, 2021
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    Jeffrey Marron (2021). Mapping of NIST Cybersecurity Framework v1.1 to NERC CIP Reliability Standards [Dataset]. http://doi.org/10.18434/mds2-2348
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    Dataset updated
    Jan 8, 2021
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Authors
    Jeffrey Marron
    License

    https://www.nist.gov/open/licensehttps://www.nist.gov/open/license

    Description

    THIS DATASET IS OBSOLETE. PLEASE REFERENCE THE NEWER MAPPING IN OLIR (https://doi.org/10.18434/mds2-3215). The spreadsheets in this data set map National Institute of Standards and Technology (NIST) Cybersecurity Framework Subcategory outcomes to requirements of the North American Electric Reliability Corporation (NERC) Critical Infrastructure Protection (CIP) Standards.

  18. c

    City of Rochester Disaggregated Demographic Data Standards Guide

    • data.cityofrochester.gov
    • hub.arcgis.com
    Updated Jan 26, 2024
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    Open_Data_Admin (2024). City of Rochester Disaggregated Demographic Data Standards Guide [Dataset]. https://data.cityofrochester.gov/documents/585d03e9857e46b58ade8cd6c180f700
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    Dataset updated
    Jan 26, 2024
    Dataset authored and provided by
    Open_Data_Admin
    Description

    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.

  19. d

    FIZ/NIST Inorganic Crystal Structure Database (ICSD) - SRD 84.

    • datadiscoverystudio.org
    • catalog.data.gov
    • +2more
    zip
    Updated Mar 2, 2018
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    (2018). FIZ/NIST Inorganic Crystal Structure Database (ICSD) - SRD 84. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/89f8bf10ba6f494e86daa6dd4ad8e962/html
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    zipAvailable download formats
    Dataset updated
    Mar 2, 2018
    Description

    description: The Inorganic Crystal Structure Database (ICSD) is produced cooperatively by the Fachinformationszentrum Karlsruhe (FIZ) and the National Institute of Standards and Technology (NIST). Components and devices used in a broad spectrum of technology sectors such as health care, communications, energy and electronics are manufactured from crystalline materials; the development of advanced crystalline materials requires accurate crystal-structure data. SRD 84 ICSD provides critically evaluated, comprehensive crystal-structure data and search software that enable phase identification by their characteristic diffraction patterns using X-rays, neutrons and electrons. SRD 84 ICSD contains full crystallographic and atomic-position information for more than 180,000 non-organic materials, including inorganics, ceramics, minerals, pure elements, metals and intermetallics, published in literature from 1913 through the present. ICSD is updated twice a year, with each update comprising about 2,000 to 10,000 new or re-evaluated entries. Data items include bibliographic information, compound designation such as chemical name, chemical formula, mineral name; and crystallographic parameters such as unit cell, space group, element symbol with numbering, oxidation state, multiplicity for Wyckoff position, x,y,z coordinates, site occupation, thermal parameters and reliability index R, among others. A free demonstration CD which includes a comprehensive user interface, FindIt, for a demo database is available upon request or can be downloaded from the website https://www.nist.gov/srd/nist-standard-reference-database-84.; abstract: The Inorganic Crystal Structure Database (ICSD) is produced cooperatively by the Fachinformationszentrum Karlsruhe (FIZ) and the National Institute of Standards and Technology (NIST). Components and devices used in a broad spectrum of technology sectors such as health care, communications, energy and electronics are manufactured from crystalline materials; the development of advanced crystalline materials requires accurate crystal-structure data. SRD 84 ICSD provides critically evaluated, comprehensive crystal-structure data and search software that enable phase identification by their characteristic diffraction patterns using X-rays, neutrons and electrons. SRD 84 ICSD contains full crystallographic and atomic-position information for more than 180,000 non-organic materials, including inorganics, ceramics, minerals, pure elements, metals and intermetallics, published in literature from 1913 through the present. ICSD is updated twice a year, with each update comprising about 2,000 to 10,000 new or re-evaluated entries. Data items include bibliographic information, compound designation such as chemical name, chemical formula, mineral name; and crystallographic parameters such as unit cell, space group, element symbol with numbering, oxidation state, multiplicity for Wyckoff position, x,y,z coordinates, site occupation, thermal parameters and reliability index R, among others. A free demonstration CD which includes a comprehensive user interface, FindIt, for a demo database is available upon request or can be downloaded from the website https://www.nist.gov/srd/nist-standard-reference-database-84.

  20. Database Migration Solutions Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Database Migration Solutions Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/database-migration-solutions-market
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    pptx, csv, 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

    Database Migration Solutions Market Outlook



    The global database migration solutions market size is expected to grow significantly from $4.5 billion in 2023 to an impressive $14.7 billion by 2032, reflecting a robust CAGR of 14.2% during the forecast period. This substantial growth can be attributed to several factors, including the increasing adoption of cloud-based solutions, rising need for efficient database management, and the growing complexity and volume of data across various industry verticals.



    One of the primary growth factors driving the database migration solutions market is the rapid digital transformation initiatives being undertaken by enterprises globally. As companies strive to modernize their IT infrastructure, there's a significant push towards adopting cloud-based systems and applications. This shift necessitates the migration of existing databases to new environments, spurring demand for database migration solutions. Additionally, the proliferation of big data and analytics is prompting organizations to migrate their databases to more powerful and flexible platforms that can handle vast amounts of data efficiently.



    Another critical growth driver is the increasing focus on data security and compliance. As data breaches and cyber threats become more frequent and sophisticated, organizations are seeking robust migration solutions that ensure secure data transfer and compliance with regulatory standards. Database migration solutions offer advanced features such as data masking, encryption, and auditing, which help organizations maintain data integrity and security during the migration process. This emphasis on data security is particularly crucial for industries such as BFSI, healthcare, and government, where data sensitivity is paramount.



    Cost-efficiency and operational agility are also significant factors contributing to the market's growth. Database migration solutions enable organizations to reduce their operational costs by streamlining the migration process and minimizing downtime. These solutions also offer scalability, allowing businesses to adjust their database resources according to their needs, thus enhancing operational agility. The ability to migrate databases without significant disruption to business operations is a compelling value proposition for enterprises of all sizes.



    In the context of cloud migration, organizations are increasingly turning to Cloud Migration Tools to facilitate seamless transitions from on-premises systems to cloud environments. These tools are designed to simplify the migration process by automating tasks such as data transfer, application reconfiguration, and system integration. By leveraging cloud migration tools, businesses can minimize downtime, reduce migration risks, and ensure data integrity throughout the transition. As the demand for cloud-based solutions continues to rise, the market for cloud migration tools is expected to expand significantly, offering enterprises the ability to modernize their IT infrastructure efficiently.



    From a regional perspective, North America is expected to hold a significant share of the database migration solutions market, driven by early adoption of advanced technologies and a strong presence of key market players. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate, owing to the rapid expansion of the IT sector, increasing investments in cloud infrastructure, and rising demand for data management solutions in emerging economies such as China and India.



    Type Analysis



    The database migration solutions market can be segmented by type into cloud migration, on-premises migration, and hybrid migration. Cloud migration is anticipated to dominate the market due to the growing adoption of cloud computing across various industries. Organizations are increasingly transitioning their databases to cloud environments to leverage the benefits of scalability, flexibility, and cost-efficiency. The cloud migration segment is expected to witness a high growth rate as businesses continue to move away from legacy systems and embrace cloud infrastructure.



    On-premises migration, while not as dominant as cloud migration, still holds significant relevance, especially for organizations with stringent data security and compliance requirements. Certain industries, such as BFSI and government, often prefer on-premises solutions to maintain control over their data and ensure compliance wit

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National Institute of Standards and Technology (2023). Standards Incorporated by Reference (SIBR) Database [Dataset]. https://catalog.data.gov/dataset/standards-incorporated-by-reference-sibr-database
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Data from: Standards Incorporated by Reference (SIBR) Database

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Dataset updated
Sep 30, 2023
Dataset provided by
National Institute of Standards and Technologyhttp://www.nist.gov/
Description

This is a searchable historical collection of standards referenced in regulations - Voluntary consensus standards, government-unique standards, industry standards, and international standards referenced in the Code of Federal Regulations (CFR).

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