100+ datasets found
  1. Share of health organizations able to remotely access select data U.S....

    • statista.com
    Updated Nov 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2020). Share of health organizations able to remotely access select data U.S. 2018-2019 [Dataset]. https://www.statista.com/statistics/1167994/healthcare-organization-remote-data-access-us/
    Explore at:
    Dataset updated
    Nov 12, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Of the remote access capabilities offered by participating healthcare organizations, full EHR, PACS/imaging data and patient communication were the most common. This statistic shows the percentage of U.S. healthcare organizations with the ability to access select data from outside the hospital network comparing 2018 and 2019.

  2. Biospecimen Repository Access and Data Sharing (BRADS)

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Feb 13, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Biospecimen Repository Access and Data Sharing (BRADS) [Dataset]. https://healthdata.gov/dataset/Biospecimen-Repository-Access-and-Data-Sharing-BRA/eqzy-py4a
    Explore at:
    csv, tsv, xml, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    BRADS is a repository for data and biospecimens from population health research initiatives and clinical or interventional trials designed and implemented by NICHD’s Division of Intramural Population Health Research (DIPHR). Topics include human reproduction and development, pregnancy, child health and development, and women’s health. The website is maintained by DIPHR.

  3. Realities of Academic Data Sharing (RADS) Initiative cost of sharing survey...

    • data.library.wustl.edu
    csv, rtf, xlsx
    Updated Jan 31, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hudson Vitale, Cynthia; Taylor, Shawna; Carlson, Jacob; Ge, Lizhao; Herdnon, Joel; Kozlowski, Wendy; Hofelich Mohr, Alicia; Moore, Jennifer; Petters, Jonathan (2024). Realities of Academic Data Sharing (RADS) Initiative cost of sharing survey data, 2022 [Dataset]. https://data.library.wustl.edu/record/103654
    Explore at:
    xlsx(329296), csv(11044), xlsx(55098), rtf(16254), csv(59659), xlsx(33653), csv(189688), csv(30964), csv(4085)Available download formats
    Dataset updated
    Jan 31, 2024
    Dataset provided by
    Association of Research Librarieshttp://www.arl.org/
    Cornell University
    University of Minnesota
    SUNY Buffalo State University
    Washington University in St. Louis
    Duke University
    George Washington University
    Authors
    Hudson Vitale, Cynthia; Taylor, Shawna; Carlson, Jacob; Ge, Lizhao; Herdnon, Joel; Kozlowski, Wendy; Hofelich Mohr, Alicia; Moore, Jennifer; Petters, Jonathan
    License

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

    Description

    This dataset is the result of studies conducted during phase one (NSF-funded) of the Realities of Academic Data Sharing (RADS) Initiative, based out of the Association of Research Libraries. Studies were conducted with federally-funded researchers and institutional administrators who support data sharing practices within their department or unit at the following institutions: Cornell University, Duke University, University of Michigan, University of Minnesota, Virginia Tech, and Washington University in St. Louis. The 2022 RADS studies were retrospective, investigating data sharing and management activities and support services from 2013 to 2022. Two surveys were utilized to collect data, the Institutional Infrastructure Survey for administrators and the Researcher Survey for federally-funded researchers. This dataset presents data from both of these surveys. Project website: https://www.arl.org/realities-of-academic-data-sharing-rads-initiative/

  4. d

    Data Sharing Framework

    • catalog.data.gov
    • hub.arcgis.com
    Updated Feb 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office of the Chief Technology Officer (2025). Data Sharing Framework [Dataset]. https://catalog.data.gov/dataset/data-sharing-framework
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    The Framework keeps each agency that has responsibility for a given data set at the center of decision-making and handling of the data. It guides agencies in their review of key considerations like data security, retention and archive periods, sensitivity of information, and the scope of uses authorized. DC agencies are the drivers of every incidence of data sharing and are empowered by the Office of the Chief Technology Officer (OCTO) to maintain active control over access and permissions to every data element throughout its lifecycle.

  5. Share of security breaches related to privileged account access U.S. 2018

    • statista.com
    Updated Jul 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Share of security breaches related to privileged account access U.S. 2018 [Dataset]. https://www.statista.com/statistics/1015973/united-states-data-breach-relation-privileged-account/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2018
    Area covered
    United States
    Description

    The statistic shows data breach relation to privileged account access in organizations in the United States as of 2018. As of that time, ** percent of the respondents stated that the last security breach in their organization was related to someone with access to a privileged account.

  6. d

    GapMaps Live Location Intelligence Platform | GIS Data | Easy-to-use| One...

    • datarade.ai
    .csv
    Updated Aug 14, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GapMaps (2024). GapMaps Live Location Intelligence Platform | GIS Data | Easy-to-use| One Login for Global access [Dataset]. https://datarade.ai/data-products/gapmaps-live-location-intelligence-platform-gis-data-easy-gapmaps
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Kenya, United Arab Emirates, Philippines, Saudi Arabia, Malaysia, Egypt, United States of America, Thailand, Taiwan, Nigeria
    Description

    GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

    With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

    Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

    Primary Use Cases for GapMaps Live includes:

    1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
    3. Analyse your catchment areas at a granular grid levels using all the key metrics
    4. Target Marketing: Develop effective marketing strategies to acquire more customers.
    5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
    6. Customer Profiling
    7. Target Marketing
    8. Market Share Analysis

    Some of features our clients love about GapMaps Live include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

  7. Data access approvals register

    • gov.uk
    Updated Mar 31, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UK Health Security Agency (2025). Data access approvals register [Dataset]. https://www.gov.uk/government/publications/data-access-approvals-register
    Explore at:
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    The UK Health Security Agency (UKHSA) shares data with other organisations for:

    • research
    • clinical audit
    • service evaluation
    • surveillance

    UKHSA is committed to improving transparency of data use by publishing information about:

    • the type of data we share
    • the purpose
    • date of approval
    • name of the organisation or individual using (or receiving) the data

    This register will be updated on a quarterly basis from July 2024.

  8. Open Access and Research Data: Researcher Survey 2015

    • services.fsd.tuni.fi
    • search.gesis.org
    • +1more
    zip
    Updated May 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fält, Katja; Okuloff, Annaleena (2025). Open Access and Research Data: Researcher Survey 2015 [Dataset]. http://doi.org/10.60686/t-fsd3123
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset provided by
    Finnish Social Science Data Archive
    Authors
    Fält, Katja; Okuloff, Annaleena
    Description

    The researcher survey charted the current practices for preservation, sharing, and reuse of digital data in the field of humanities and health sciences. The survey also charted the respondents' views on open access and the reuse of digital research data, as well as their opinions on how to most effectively spread information about open access and research data management. The survey was a part of the FSD's "National Service Provider for CESSDA: Establish, Expand, Equip" project, in which services are tailored specifically for humanities and health sciences. The project was funded by the Academy of Finland. The questionnaire began with general questions charting the respondents' knowledge about open access and the services provided by the FSD. Next the respondents' views were probed on how digital research data is used at their department/school/unit after research has been completed. The respondents were then asked about barriers relating to archiving and reuse of digital research data as well as the restrictions presented by removal of personal identifiers from data in their field of study. Furthermore, the respondents were asked which factors contribute to the fact that data from completed research projects is not reused in their field of study. In the next part, the respondents were asked about their opinions on how to restrict the use of datasets if doing so was necessary. Next the respondents were thoroughly interviewed about their views on the advantages and disadvantages of increasing the reuse of digital data. Finally, the respondents were asked which channels and methods would be good for sharing information about research data management and open access. The background variables included the respondents' organisation, gender, and field of study.

  9. AI access to personal data when shopping in the U.S. 2024, by age group

    • statista.com
    • davegsmith.com
    Updated Jun 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). AI access to personal data when shopping in the U.S. 2024, by age group [Dataset]. https://www.statista.com/statistics/1470229/ai-access-to-personal-data-for-personalized-shopping-experience-united-states-by-age-group/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2024
    Area covered
    United States
    Description

    A 2024 survey carried out in the United States showed that consumers aged 55 to 59 years old are the least likely to share their personal data when shopping online. ** percent of them do not want to share anything personal with AI technologies. More attraced by the advantages of personalized shopping experience, only ** percent of shoppers aged 18 to 24 years old expressed skepticism about sharing personal details.

  10. S

    Social Login Tool Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Forecast (2025). Social Login Tool Report [Dataset]. https://www.marketresearchforecast.com/reports/social-login-tool-40930
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global social login tool market is experiencing robust growth, driven by the increasing demand for seamless user authentication and enhanced online security. The market's expansion is fueled by the rising adoption of cloud-based and SaaS solutions among small and medium-sized enterprises (SMEs) and large enterprises alike. This shift is largely due to the convenience, scalability, and cost-effectiveness offered by these models compared to on-premise solutions. Furthermore, the increasing prevalence of mobile devices and the growing need for streamlined user experiences across various platforms are significantly boosting the market's trajectory. The integration of social login tools enhances customer engagement by reducing friction during the registration process, leading to higher conversion rates and improved customer satisfaction. This, in turn, is driving widespread adoption across diverse industries, including e-commerce, social media, and entertainment. However, challenges remain. Concerns surrounding data privacy and security continue to act as a restraint, necessitating robust security measures and transparent data handling practices by providers. Competition among established players and emerging startups is also intensifying, leading to price pressures and the need for continuous innovation. Despite these challenges, the market is projected to experience substantial growth over the next decade, driven by factors such as increasing internet penetration, expanding e-commerce activities, and the growing adoption of social media platforms worldwide. The strategic partnerships between social login tool providers and other technology companies are expected to further propel the market's growth, facilitating broader integration and wider adoption. We project a sustained Compound Annual Growth Rate (CAGR) based on industry analysis and considering factors like market penetration and technological advancements. This growth will be significantly influenced by the continued development of innovative features such as enhanced security protocols, improved user experience features and deeper integration with other platforms.

  11. National Birth Defect Prevention Study Protocol for Public Access and Data...

    • catalog.data.gov
    Updated Mar 13, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2021). National Birth Defect Prevention Study Protocol for Public Access and Data Sharing [Dataset]. https://catalog.data.gov/dataset/national-birth-defect-prevention-study-protocol-for-public-access-and-data-sharing
    Explore at:
    Dataset updated
    Mar 13, 2021
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Protocol for requesting public access to these data via CDC. This dataset is not publicly accessible because: These data include PII, including residential data and birth date. It can be accessed through the following means: These data may be accessed by following the National Birth Defects Prevention Study (NBDPS) Protocol for Public Access and Data Sharing. Format: The data are maintained in Analytic Files by CDC

  12. Rural households with internet access in the EU 27 2014-2023

    • statista.com
    Updated Feb 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Rural households with internet access in the EU 27 2014-2023 [Dataset]. https://www.statista.com/statistics/1236336/share-of-households-rural-internet-access-eu27/
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    European Union
    Description

    In 2023, the share of rural households with internet access in the European Union remained nearly unchanged at around 90.52 percent. Nevertheless, 2023 still represents a peak in the share of rural households with internet access in the European Union with 90.52 percent. The EU survey on the use of Information and Communication Technologies (ICT) in households and by individuals is an annual survey conducted since 2002 aiming at collecting and disseminating harmonised and comparable information on the use of ICT in households and by individuals. Data presented in this domain are collected on a yearly basis by the National Statistical Institutes and are based on Eurostat's annual model questionnaire. This questionnaire is updated each year to reflect the evolving situation of information and communication technologiesFind more statistics on in the European Union with key insights such as share of urban households with internet access, share of suburban households with internet access, and share of households with internet access.

  13. D

    Data Subject Access Request Tools Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Feb 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Forecast (2025). Data Subject Access Request Tools Report [Dataset]. https://www.marketresearchforecast.com/reports/data-subject-access-request-tools-25478
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Data Subject Access Request (DSAR) Tools market is experiencing rapid growth, driven by the increasing adoption of data protection regulations worldwide and the growing awareness of individuals' rights to access their personal data. According to a recent report, the market size was valued at XXX million in 2023 and is projected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. Key factors fueling this growth include the proliferation of data breaches, rising concerns over data privacy and security, and the need for businesses to comply with data protection regulations such as the GDPR, CCPA, and LGPD. In terms of market segmentation, the DSAR Tools market is categorized by type (cloud-based, on-premises), application (large enterprises, SMEs), and region (North America, Europe, Asia Pacific, MEA). Cloud-based solutions are gaining popularity due to their scalability, flexibility, and cost-effectiveness. Large enterprises with complex data management requirements are the primary adopters of these tools. Regional analysis reveals that North America and Europe currently dominate the market due to the presence of stringent data protection regulations and high awareness among businesses. However, Asia Pacific is expected to witness significant growth in the coming years as countries in the region implement data privacy laws and businesses become more cognizant of their data privacy obligations.

  14. Dataset for article "Unveiling Openness in Energy Research: A Bibliometric...

    • zenodo.org
    csv
    Updated Mar 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Linna Lu; Linna Lu; Amanda Wein; Amanda Wein (2025). Dataset for article "Unveiling Openness in Energy Research: A Bibliometric Analysis Focusing on Open Access and Data Sharing Practices" [Dataset]. http://doi.org/10.5281/zenodo.15023865
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Linna Lu; Linna Lu; Amanda Wein; Amanda Wein
    License

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

    Time period covered
    Dec 6, 2024
    Description

    This dataset was used as a data corpus for a bibliometric analysis with the title "Unveiling Openness in Energy Research: A Bibliometric Analysis Focusing on Open Access and Data Sharing Practices".

    The CSV file (2024-12-06_OpenAlex_API_download_works_Energy_Germany_(2013-2023)) was collected on December 6th, 2024, by using the OpenAlex API and search criteria: OpenAlex field "Energy", continent “Europe”, country “Germany”, and publication years 2013 – 2023. Based on this file, two sample files were extracted - one by subfield (2024-12-06_OpenAlex_API_dwonload_works_Energy_Germany_(2013-2023)_sampled_by_subfield) and another by year group (2024-12-06_OpenAlex_API_download_works_Energy_Germany_(2013-2023)_sampled_by_year_group).

    This dataset was collected and used to answer the following research questions:

    - What percentage of energy research publications are OA? How do the types (gold, green, etc.) of these publications differ?

    - Are there notable differences in OA and data sharing practices in different subfields of energy research?

    - How commonly are datasets for energy studies shared? What are the primary repositories used?

    - What kind of data sharing or publication practices are widespread? How has this evolved over the last decade?

  15. Data for this project include human subjects PII and cannot be shared.

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2020). Data for this project include human subjects PII and cannot be shared. [Dataset]. https://catalog.data.gov/dataset/data-for-this-project-include-human-subjects-pii-and-cannot-be-shared
    Explore at:
    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Data on approximately 2 million births occurring in NJ, OH, and PA from 2000 - 2005. Linked to PM2.5 and ozone concentration estimates from EPA CMAQ fused model. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth data can be acquired through application to the state health statistics departments of NJ, OH, and PA. Contact author for code. rappazzo.kristen@epa.gov. Format: No data included. This dataset is associated with the following publication: Rappazzo, K., D. Lobdell, L. Messer, C. Poole, and J. Daniels. Comparison of gestational dating methods and implications for exposure-outcome associations: an example with PM2.5 and preterm birth. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 74(2): 138-143, (2017).

  16. r

    Data from: Understanding and unlocking the value of public research data

    • researchdata.edu.au
    • data.gov.au
    Updated Feb 22, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sanderson Todd; Reeson Andrew; Box Paul (2017). Understanding and unlocking the value of public research data [Dataset]. http://doi.org/10.4225/08/58accf025beff
    Explore at:
    Dataset updated
    Feb 22, 2017
    Dataset provided by
    Commonwealth Scientific and Industrial Research Organisation (CSIRO)
    Commonwealth Scientific and Industrial Research Organisation
    Authors
    Sanderson Todd; Reeson Andrew; Box Paul
    License

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

    Description

    This workbook contains the survey data reported in: "Sanderson, Todd; Reeson, Andrew; Box, Paul. Understanding and unlocking the value of public research data: OzNome social architecture report. Canberra: CSIRO; 2017. csiro:EP168075. https://doi.org/10.4225/08/58a5e8d940904"

    There are two CSIRO Data Access Portal (DAP) surveys reported in the workbook, (1) a survey of depositors to the DAP, and (2) a survey of DAP withdrawers (users). Each of these were conducted under CSIRO Social Science Human Research Ethics Committee Approval: project 055/16 “Data Access Portal – costs and benefits for depositors and users”.

    (1) The survey of depositors involved semi-structured interviews with depositors of research data collections on the DAP. This group were entirely composed of researchers within CSIRO. Depositors were interviewed using guiding questions which are presented here and in Appendix A of the report. A total of 15 data depositors from a wide variety of research disciplines accepted invitations and were interviewed. Because the interviews were semi-structured, not all questions were answered by respondents; the corresponding cells have been left blank. The interviews were conducted exclusively over the phone for a period of 30 minutes, during April 2016. In order to maintain their anonymity, some responses and some sections of responses have been removed. In these instances, a "YYYYY" will appear in the cell or text to indicate redaction.

    (2) The survey of withdrawers (users) of the DAP involved a structured online survey with a focus on eliciting their assessment of the value of the data collections they were using. Withdrawers were presented with questions reported here and in Appendix B of the report. The survey was administered using a Survey Monkey application, to which a link was presented in a banner on the DAP webpage inviting users to participate. Banner advertising text: “Please help us understand the value of data in the Data Access Portal - to take part in our survey please visit https://www.surveymonkey.com/r/529MT2P”. The survey captured responses from 23 users over the period October 2016 - February 2017.

  17. f

    m:access All-Share Index GTR Constituent Data

    • financialreports.eu
    Updated May 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). m:access All-Share Index GTR Constituent Data [Dataset]. https://financialreports.eu/companies/indices/maccess-all-share-index-gtr/
    Explore at:
    Dataset updated
    May 18, 2025
    Variables measured
    Index Value, Trading Volume, Constituent Companies, Market Capitalization
    Description

    Dataset of 64 companies in the m:access All-Share Index GTR index

  18. m

    Global Data Center Raised Access Floor Market Share, Size & Industry...

    • marketresearchintellect.com
    Updated Jun 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Intellect (2025). Global Data Center Raised Access Floor Market Share, Size & Industry Analysis 2033 [Dataset]. https://www.marketresearchintellect.com/product/global-data-center-raised-access-floor-market/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    Get key insights from Market Research Intellect's Data Center Raised Access Floor Market Report, valued at USD 3.5 billion in 2024, and forecast to grow to USD 5.8 billion by 2033, with a CAGR of 7.2% (2026-2033).

  19. P

    Passwordless Login Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Passwordless Login Report [Dataset]. https://www.datainsightsmarket.com/reports/passwordless-login-1391071
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jan 4, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global passwordless login market is experiencing significant growth, with a market size estimated at XXX million in 2025 and projected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. This growth is driven by the increasing demand for enhanced security measures in response to the rising number of cyber threats and data breaches. Furthermore, the growing adoption of mobile devices and the proliferation of online services are contributing to the market's expansion. Key market trends include the shift towards biometric authentication, such as facial recognition and fingerprint scanning, for added security and convenience. Additionally, the integration of passwordless login solutions with existing identity management systems is becoming more prevalent, enabling seamless user authentication across various applications and devices. The market is segmented by application, with banking and finance, government, and commercial enterprises being the primary sectors adopting passwordless login solutions. SMS 2FA, TOTP 2FA, push-based 2FA, and WebAuthn dominate the types of passwordless login solutions, while Microsoft Security, Morpho, Gemalto, and NEC are among the major players in the market. The Asia Pacific region is expected to witness the highest growth over the forecast period due to the increasing adoption of mobile devices and the growing number of online transactions in the region.

  20. Social Login Tool Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2024). Social Login Tool Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-social-login-tool-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 22, 2024
    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

    Social Login Tool Market Outlook



    The global social login tool market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 4.8 billion by 2032, growing at an impressive CAGR of 16.8% during the forecast period. The surge in market growth can be attributed to the increasing reliance on social media platforms for various online activities and the rising demand for seamless user authentication processes.



    One of the prominent growth factors driving the social login tool market is the rapid proliferation of social media platforms and their integration into daily life. Social media accounts have become ubiquitous, with billions of users worldwide, and businesses are leveraging this trend to simplify the login processes. By enabling users to log in using their social media credentials, companies can enhance user experience, reduce friction, and increase conversion rates. This trend is particularly significant in e-commerce, where a seamless login experience can directly impact sales and customer retention.



    Another crucial driver is the growing concern for data security and privacy. Social login tools provide a secure way for users to authenticate without creating multiple accounts and remembering numerous passwords. These tools often leverage OAuth protocols and other encryption methods to ensure that user data is protected. As cyber threats become more sophisticated, the demand for secure authentication methods is escalating, further propelling the adoption of social login tools across various industries, including BFSI and healthcare, where data security is paramount.



    The convenience and user-friendliness of social login tools also contribute significantly to their widespread adoption. Users prefer the ease of logging in with existing social media accounts rather than filling out lengthy registration forms. This convenience translates into higher engagement and lower bounce rates, benefiting businesses in terms of user retention and satisfaction. Moreover, social login tools provide valuable insights into user behavior and preferences, enabling companies to tailor their services and marketing strategies more effectively.



    Regionally, North America dominates the social login tool market, accounting for the largest share due to the high penetration of social media platforms and advanced IT infrastructure. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The increasing internet penetration, rapid digitalization, and growing e-commerce sector in countries like China and India are fueling the demand for social login tools. Europe also holds a significant market share, driven by stringent data protection regulations and the widespread adoption of digital solutions across various industries.



    Component Analysis



    The social login tool market is segmented into software and services. The software segment holds the majority share due to its critical role in enabling social login functionalities. These software solutions integrate with existing websites and applications, allowing users to authenticate using their social media credentials. The demand for such software is soaring as businesses aim to streamline user experiences and enhance security measures. Continuous advancements in software technologies, including AI and machine learning, are further amplifying the capabilities of social login tools, making them more efficient and reliable.



    Services, on the other hand, encompass the various support and maintenance activities related to social login tools. These services ensure that the software operates seamlessly, addressing any technical issues that may arise. The services segment is gaining traction as businesses increasingly realize the importance of expert support in maintaining and optimizing their social login systems. Consulting services are also part of this segment, helping organizations to implement the best practices and tailor the social login tools according to their unique requirements.



    Software providers continually update their offerings to include new features and address security vulnerabilities. This proactive approach is essential in maintaining user trust and staying ahead of potential cyber threats. As a result, the software segment is expected to maintain its dominance in the social login tool market. The revenue generated from software sales is projected to grow significantly, fueled by the increasing adoption of digital solutions across various industries.



    In contrast, the services segment, while s

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2020). Share of health organizations able to remotely access select data U.S. 2018-2019 [Dataset]. https://www.statista.com/statistics/1167994/healthcare-organization-remote-data-access-us/
Organization logo

Share of health organizations able to remotely access select data U.S. 2018-2019

Explore at:
Dataset updated
Nov 12, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

Of the remote access capabilities offered by participating healthcare organizations, full EHR, PACS/imaging data and patient communication were the most common. This statistic shows the percentage of U.S. healthcare organizations with the ability to access select data from outside the hospital network comparing 2018 and 2019.

Search
Clear search
Close search
Google apps
Main menu