27 datasets found
  1. U.S. graduate business students' interest in online/hybrid programs 2023

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. graduate business students' interest in online/hybrid programs 2023 [Dataset]. https://www.statista.com/statistics/1448135/north-america-interest-in-online-hybrid-business-school-programs/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America, United States
    Description

    In 2023, ** percent of prospective graduate business students in the United States were interested in hybrid programs, an increase from ** percent in 2019. However, the overall preference in 2023 was for in-person business school programs, at ** percent.

  2. TONS (Training Online Nomination System) Training Master File

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jul 4, 2025
    + more versions
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    Social Security Administration (2025). TONS (Training Online Nomination System) Training Master File [Dataset]. https://catalog.data.gov/dataset/tons-training-online-nomination-system-training-master-file
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    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    A file that holds the master records for all online training courses nominated for reimbursement.

  3. Bachelor's students graduated from Italian online universities 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 16, 2025
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    Statista (2025). Bachelor's students graduated from Italian online universities 2013-2024 [Dataset]. https://www.statista.com/statistics/1088192/graduate-students-at-an-online-university-in-italy/
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Between 2015 and 2024, the number of bachelor's students who graduated from online universities in Italy steadily increased. In 2015, less than ***** people obtained their bachelor's from an online university. After nine years, the number of students more than doubled, reaching ****** graduates. In Italy, bachelor's students represented the largest group of e-learning university students, ******* people.

  4. d

    Dataset with determinants or factors influencing graduate economics student...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Nov 3, 2023
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    Zurika Robinson; Thea Uys (2023). Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment [Dataset]. http://doi.org/10.5061/dryad.bvq83bkgd
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    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Zurika Robinson; Thea Uys
    Time period covered
    Jan 1, 2023
    Description

    The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed.     The study...

  5. Share of students studying online in the U.S., by ethnicity and education...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Share of students studying online in the U.S., by ethnicity and education level 2023 [Dataset]. https://www.statista.com/statistics/956166/share-students-studying-online-ethnicity-education-level/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a 2023 survey, ** percent of undergraduate students who were studying online in the United States were White, while ** percent were Black or African-American. In comparison, ** percent of graduate students studying online in the United States in that year were White, while ** percent were Black or African American.

  6. Graduate outcomes (LEO): 2015 to 2016

    • gov.uk
    Updated Mar 25, 2021
    + more versions
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    Department for Education (2021). Graduate outcomes (LEO): 2015 to 2016 [Dataset]. https://www.gov.uk/government/statistics/graduate-outcomes-2015-to-2016
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    Dataset updated
    Mar 25, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    There are errors in this release due to a coding error. Please do not use figures reported in this publication for these countries:

    • Germany is incorrectly labelled as Denmark
    • Greece is incorrectly labelled as Germany

    We have correct data in the graduate outcomes (LEO): 2018 to 2019 publication and corrected the outcomes and earnings data for all previously reported tax years and graduating cohorts.

    The longitudinal education outcomes (LEO) data includes:

    • information from the Department for Education (DfE)
    • information from the Department for Work and Pensions (DWP) and Her Majesty’s Revenue and Customs (HMRC)

    This experimental release uses LEO data to look at employment and earnings outcomes of higher education graduates 1, 2, 5 and 10 years after graduation in the tax years 2014 to 2015 and 2015 to 2016.

    The outcomes update previously published figures by including data for the 2015 to 2016 tax year. This publication also includes outcomes for EU and overseas students for the first time and extends the coverage to include those that studied first degrees in further education colleges.

    Higher education statistics team (LEO)

    Matthew Bridge
    Department for Education
    2 St. Paul's Place
    125 Norfolk Street
    Sheffield
    S1 2FJ

    Email mailto:he.leo@education.gov.uk">he.leo@education.gov.uk

    Phone 07384 456648

  7. Data Science related tracks

    • kaggle.com
    Updated Jun 12, 2021
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    swdmop (2021). Data Science related tracks [Dataset]. https://www.kaggle.com/andrsenrique/data-science-online-specializations-dataset/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 12, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    swdmop
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Description

    Dataset

    This dataset was created by swdmop

    Released under GPL 2

    Contents

  8. Yearbook of World Energy Statistics, Master File, 1970-1979

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
    + more versions
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    United Nations (1992). Yearbook of World Energy Statistics, Master File, 1970-1979 [Dataset]. http://doi.org/10.3886/ICPSR07893.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United Nations
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7893/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7893/terms

    Time period covered
    1970 - 1979
    Area covered
    Bhutan, Singapore, Kenya, Channel Islands, Haiti, Seychelles, Qatar, Lithuania, Azerbaijan, Moldova
    Description

    This data collection contains energy commodity production statistics for approximately 200 United Nations reporting countries for the years 1970-1979. In this file, each record refers to an individual reporting country and the quantity of its various transactions (e.g., production, imports, exports, bunkers, additions to stocks, and capacity) for a given energy commodity in a given year. Only annual data are included. The 70 types of commodities reported include solid fuels (e.g., coal, peat, and charcoal), liquid fuels (e.g., crude petroleum, gasoline, and kerosene), gases, uranium, and both industrial and public types of geothermal, hydro, and nuclear generated electricity. Information is also included on the population (in thousands) of the reporting country, the quantity of the commodity per transaction, and the date of the transaction. Supplementary data not contained in this data collection are in the introduction and footnotes of the individual tables published in the YEARBOOK OF WORLD ENERGY STATISTICS, 1979.

  9. m

    Transdisciplinary Team Building Using a Real-World Case Study on the...

    • data.mendeley.com
    Updated Nov 6, 2020
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    Sarah Hooper (2020). Transdisciplinary Team Building Using a Real-World Case Study on the Pandemic COVID-19 [Dataset]. http://doi.org/10.17632/sgngmzxzbr.1
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    Dataset updated
    Nov 6, 2020
    Authors
    Sarah Hooper
    License

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

    Description

    The COVID-19 data sets and associated Jupyter Hub notebooks are support for a manuscript describing how data science was shown to be effective in developing a transdisciplinary team and the production of novel outputs in part due to the common learning process of all team members being part of an online professional data science and analytics master’s degree program. This online curriculum helped the team members to find a common process that allowed them learn in common (Kläy, Zimmermann, & Schneider, 2015), transdisciplinary learning a key component of transdisciplinary teamwork (Yeung, 2015). Our team's Jupyter Hub files with complete coding and data set explanations are uploaded to document this teamwork and the outputs of the team.

  10. Master OP EXP VIEW

    • open-budget-citymgm.hub.arcgis.com
    • opendata.montgomeryal.gov
    • +1more
    Updated Jan 27, 2020
    + more versions
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    City of Montgomery ArcGIS Online (2020). Master OP EXP VIEW [Dataset]. https://open-budget-citymgm.hub.arcgis.com/datasets/master-op-exp-view
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    Dataset updated
    Jan 27, 2020
    Dataset provided by
    https://arcgis.com/
    Authors
    City of Montgomery ArcGIS Online
    Description

    Table View of Master_OP_EXP - Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Expense Dashboards. Update Schedule: Once per Month.

  11. m

    WHM Graduate Outcomes Online Survey 2018-2023

    • data.mendeley.com
    • researchdata.edu.au
    Updated Apr 12, 2024
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    Philippa Martyr (2024). WHM Graduate Outcomes Online Survey 2018-2023 [Dataset]. http://doi.org/10.17632/wyy889n8w7.1
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    Dataset updated
    Apr 12, 2024
    Authors
    Philippa Martyr
    License

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

    Description

    This deidentified Excel qualitative data set contains graduate outcomes and graduates' views on the skills they acquired while completing the Women's Health Minor (WHM) at the University of Western Australia (UWA) between 2018 and 2023. Data showed that this self-selected sample of graduates (N=38) had acquired new and diverse skills while completing the WHM.

  12. Massive Open Online Course (MOOC) Market Study by Reskilling & Online...

    • factmr.com
    csv, pdf
    Updated May 7, 2024
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    Fact.MR (2024). Massive Open Online Course (MOOC) Market Study by Reskilling & Online Certification, Language & Casual Learning, Supplemental Education, Higher Education, and Test Preparation from 2024 to 2034 [Dataset]. https://www.factmr.com/report/3077/mooc-market
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset provided by
    Fact.MR
    License

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

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The global massive open online course (MOOC) market size is calculated to advance at a CAGR of 32% through 2034, which is set to increase its market value from US$ 13.2 billion in 2024 to US$ 212.7 billion by the end of 2034.

    Report AttributeDetail
    MOOC Market Size (2024E)US$ 13.2 Billion
    Projected Market Value (2034F)US$ 212.7 Billion
    Global Market Growth Rate (2024 to 2034)32% CAGR
    China Market Value (2034F)US$ 23.3 Billion
    Japan Market Growth Rate (2024 to 2034)32.6% CAGR
    North America Market Share (2024E)23.9%
    East Asia Market Value (2034F)US$ 49.1 Billion
    Key Companies Profiled

    Alison; Coursera Inc; edX Inc; Federica.EU; FutureLearn; Instructure; Intellipaat; iverity; Jigsaw Academy; Kadenze.

    Country Wise Insights

    AttributeUnited States
    Market Value (2024E)US$ 1.4 Billion
    Growth Rate (2024 to 2034)32.5% CAGR
    Projected Value (2034F)US$ 23.6 Billion
    AttributeChina
    Market Value (2024E)US$ 1.5 Billion
    Growth Rate (2024 to 2034)32% CAGR
    Projected Value (2034F)US$ 23.3 Billion

    Category-wise Insights

    AttributexMOOC
    Segment Value (2024E)US$ 9.3 Billion
    Growth Rate (2024 to 2034)30.8% CAGR
    Projected Value (2034F)US$ 136.1 Billion
    AttributeDegree & Master Programs
    Segment Value (2024E)US$ 6.4 Billion
    Growth Rate (2024 to 2034)30.2% CAGR
    Projected Value (2034F)US$ 89.3 Billion
  13. General Industrial Statistics, 1963-1979

    • icpsr.umich.edu
    • search.datacite.org
    ascii
    Updated Jan 18, 2006
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    United Nations (2006). General Industrial Statistics, 1963-1979 [Dataset]. http://doi.org/10.3886/ICPSR07950.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United Nations
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7950/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7950/terms

    Time period covered
    1963 - 1979
    Area covered
    Ivory Coast, Guinea-Bissau, Djibouti, Saint Vincent and the Grenadines, Brunei, Papua New Guinea, Benin, Oman, Bhutan, Solomon Islands
    Description

    This collection was created by the United Nations from information collected from individual countries regarding their industrial production. The collection contains, for each reporting country, data on the type and amount of industrial production for the years 1963-1979. There are statistics on production for various industries including mining, manufacturing, construction, financing, and community and personal services. Production quantities are indicated in the basic units of that particular industry (e.g., number, man-hours, kilowatt hours, etc.). The data are organized by country, industry, and year, and thus, multiple country records may exist for each industry depending on the data years available. Part 1 contains information for the years 1967-1979, and Part 2 contains data for the years 1963-1966 (with some instances of overlapping data in the files). The data collected for these files was used as the master file input for the YEARBOOK OF INDUSTRIAL STATISTICS, VOLUME 1. The files have 19 variables (17 are alphanumeric, 2 are double precision floating point).

  14. o

    Bridging the gap: students' responses to online materials to equip graduate...

    • ordo.open.ac.uk
    • search.datacite.org
    docx
    Updated May 30, 2023
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    Stephanie Pywell (2023). Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills [Dataset]. http://doi.org/10.21954/ou.rd.5368810.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The Open University
    Authors
    Stephanie Pywell
    License

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

    Description

    This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – Fundamentals of Law (FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 sessions of learning, each covering one key topic from a Level 1 law module.The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.

  15. o

    International STEM Graduate Student in the United States Survey 2015

    • openicpsr.org
    delimited
    Updated Aug 10, 2015
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    Xueying Han; Richard Appelbaum; Galen Stocking; Matthew Gebbie (2015). International STEM Graduate Student in the United States Survey 2015 [Dataset]. http://doi.org/10.3886/E100084V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 10, 2015
    Dataset provided by
    Pew Research
    University of California Santa Barbara
    Authors
    Xueying Han; Richard Appelbaum; Galen Stocking; Matthew Gebbie
    License

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

    Time period covered
    Jan 5, 2015 - Apr 30, 2015
    Area covered
    United States
    Description

    The International STEM Graduate Student Survey assesses why international students are coming to the United States for their graduate studies, the challenges they have faced while studying in the US, their future career plans, and whether they wish to stay or leave the US upon graduation. According to the Survey of Earned Doctorates by the National Science Foundation and the National Center for Science and Engineering Statistics, international students accounted for over 40% of all US doctoral graduates in STEM in 2013. The factors that influence international students' decisions to study in the US and whether they will stay or leave are important to US economic competitiveness. We contacted graduate students (both domestic and international) in STEM disciplines from the top 10 universities ranked by the total number of enrolled international students. We estimate that we contacted approximately 15,990 students. Individuals were asked to taken an online survey regarding their background, reasons for studying in the US, and whether they plan to stay or leave the US upon graduation. We received a total of 2,322 completed surveys, giving us a response rate of 14.5%. 1,535 of the completed were from domestic students and 787 of which were from international students. Raw survey data are presented here.Survey participants were contacted via Qualtrics to participate in this survey. The Universe of this survey data set pertains to all graduate students (Master's and PhD) in STEM disciplines from the following universities: Columbia University, University of Illinois-Urbana Champaign, Michigan State University, Northeastern University, Purdue University, University of Southern California, Arizona State University, University of California at Los Angeles, New York University, University of Washington at Seattle. Data are broken into 2 subsets: one for international STEM graduate students and one for domestic STEM graduate students, please see respective files.

  16. H

    Data from: Faculty Perspectives on a Collaborative, Multi-Institutional...

    • beta.hydroshare.org
    • hydroshare.org
    zip
    Updated Sep 14, 2022
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    Anne J Jefferson; Deanna H. McCay; Steven Loheide (2022). Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program [Dataset]. http://doi.org/10.4211/hs.2372f0c0a90d4061ae7f50a7f2a01cbd
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    zip(1.4 MB)Available download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    HydroShare
    Authors
    Anne J Jefferson; Deanna H. McCay; Steven Loheide
    License

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

    Time period covered
    Dec 1, 2021 - May 31, 2022
    Area covered
    Description

    This resource contains the survey questions, compiled results, and code for Fisher's exact test, as associated with the following manuscript:

    "Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program" by Anne J. Jefferson, Steven P. Loheide, and Deanna H. McCay. Submitted to Frontiers in Water, in the research topic: “Innovations in Remote and Online Education by Hydrologic Scientists", May 2022

    Abstract: The CUAHSI Virtual University is an interinstitutional graduate training framework that was developed to increase access to specialized hydrology courses for graduate students from participating institutions. The program was designed to capitalize on the benefits of collaborative teaching, allowing students to differentiate their learning and access subject matter experts at multiple institutions, while enrolled in a single course at their home institution, through a framework of reciprocity. Although the CUAHSI Virtual University was developed prior to the covid-19 pandemic, the resilience of its online education model to such disruptions to classroom teaching increases the urgency of understanding how effective such an approach is at achieving its goals and what challenges multi-institutional graduate training faces for sustainability and expansion within the water sciences or in other disciplines. To gain faculty perspectives on the program, we surveyed water science faculty who had served as instructors in the program, as well as water science faculty who had not participated and departmental chairs of participating instructors. Our data show widespread agreement across respondent types that the program is positive for students, diversifying their educational opportunities and increasing access to subject matter experts. Concerns and factors limiting faculty participation revolved around faculty workload and administrative barriers, including low enrollment at individual institutions. If these barriers can be surmounted, the CUAHSI Virtual University has the potential for wider participation within hydrology and adoption in other STEM disciplines.

  17. f

    Data from: Graduates from a Professional Master’s Degree Program in Family...

    • scielo.figshare.com
    Updated Jun 1, 2023
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    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza (2023). Graduates from a Professional Master’s Degree Program in Family Health: Expectations, Motivations and Benefits [Dataset]. http://doi.org/10.6084/m9.figshare.9985946.v1
    Explore at:
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza
    Description

    ABSTRACT The health care model based on the Family Health Strategy, created in the early 1990s, encouraged changes in health education, highlighting the need to create lato and stricto sensu postgraduate courses aimed at empowering professionals that foster comprehensive health care. Periodic evaluations are carried out and encouraged by Capes/MEC in order to maintain the quality of postgraduate courses, but evaluations of recently-introduced professional master’s degree courses in family health remain scarce. Objectives To describe the academic profile, contribution, motivations and expectations of graduates of a Professional Master’s in Family Health. Method Cross-sectional and quantitative study to analyze the results of 102 questionnaires answered by graduates of the Professional Master’s Degree in Family Health of the Estácio de Sá University (RJ), who had concluded the course between 2007 and 2012. The instrument consisted of open-ended and closed-ended questions, sent by e-mail and made available online through the electronic platform Survey Monkey. The study evaluated age, gender, regional origin, academic background, as well as the contributions, expectations and motivations related to the course. Results The survey sample was formed predominantly by female graduates, aged over 30, from 13 Brazilian states and, mainly from Medicine and Nursing courses. The contribution of the master’s degree to the graduate’s professional life was evaluated as excellent by 77% of the interviewees. The expectations regarding the course were positively evaluated and the main reasons for seeking the qualification were scientific-technical improvement and personal satisfaction, rather than better salaries or job stability. Conclusion The course was evaluated positively by the graduates, having exceeded their expectations and satisfied the interests that led them to it, thus producing changes to their personal and professional life. A longitudinal analysis of the impact of the professional master’s degree in the career of graduates will require a sequence of similar studies, as has been stimulated by Capes/MEC in recent years.

  18. Master Data Management Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Growth Market Reports (2025). Master Data Management Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/master-data-management-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Master Data Management Market Outlook



    According to our latest research, the global Master Data Management (MDM) market size stood at USD 21.4 billion in 2024 and is projected to reach USD 62.7 billion by 2033, registering a robust CAGR of 12.5% from 2025 to 2033. The surge in data-driven decision-making, increasing regulatory compliance requirements, and the ongoing digital transformation across industries are driving the rapid expansion of the MDM market. Organizations worldwide are prioritizing unified, accurate, and accessible master data to streamline operations and gain a competitive edge, further fueling market growth.




    One of the primary growth drivers for the Master Data Management market is the exponential increase in data generated by organizations across diverse sectors such as BFSI, healthcare, retail, and manufacturing. As businesses accumulate vast volumes of structured and unstructured data from multiple sources, the necessity for efficient data management solutions becomes paramount. MDM enables organizations to consolidate, cleanse, and govern critical data entities, ensuring consistency and accuracy across all business applications. This not only enhances operational efficiency but also supports advanced analytics, artificial intelligence, and machine learning initiatives, which are increasingly being adopted for strategic decision-making. The rising complexity of data ecosystems, coupled with the need for real-time data synchronization, is compelling enterprises to invest significantly in robust MDM solutions.




    Another significant factor propelling the MDM market is the stringent regulatory landscape and growing emphasis on data governance. Industries such as BFSI and healthcare are subject to rigorous compliance mandates like GDPR, HIPAA, and CCPA, which require organizations to maintain high standards of data integrity, privacy, and security. Master Data Management plays a crucial role in helping enterprises adhere to these regulations by providing a single source of truth, automating data lineage tracking, and facilitating audit trails. Furthermore, the increasing frequency of data breaches and cyber threats has elevated the importance of securing master data assets, prompting organizations to adopt advanced MDM platforms with integrated security features. This regulatory pressure, combined with the need to mitigate reputational and financial risks, is accelerating the adoption of MDM solutions globally.




    The ongoing shift toward digital transformation and cloud adoption is also a key catalyst for the Master Data Management market. Organizations are migrating their core systems and applications to cloud-based environments to achieve scalability, flexibility, and cost-efficiency. Cloud-based MDM solutions offer seamless integration with other cloud services, enable remote access to master data, and support agile development methodologies. This transition is particularly beneficial for small and medium enterprises (SMEs) that require affordable, scalable, and easy-to-deploy MDM solutions to compete with larger players. Additionally, the proliferation of Internet of Things (IoT) devices and the rise of Industry 4.0 initiatives are generating new streams of master data, further expanding the addressable market for MDM providers.




    From a regional perspective, North America continues to dominate the MDM market, driven by the presence of major technology vendors, high digital maturity, and early adoption of advanced data management practices. However, the Asia Pacific region is witnessing the fastest growth, fueled by rapid digitalization, increasing IT investments, and a burgeoning ecosystem of SMEs and large enterprises seeking to modernize their data infrastructure. Europe also holds a significant share, supported by strict data protection regulations and a strong focus on data quality and compliance. Latin America and the Middle East & Africa are emerging markets, gradually embracing MDM solutions as part of broader digital transformation strategies. The global landscape is characterized by a mix of mature and emerging markets, each presenting unique opportunities and challenges for MDM vendors.



  19. Master Facility Inventory: Nursing Homes and Other Health Care Facilities,...

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
    + more versions
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    United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics (1992). Master Facility Inventory: Nursing Homes and Other Health Care Facilities, 1976 [Dataset]. http://doi.org/10.3886/ICPSR07631.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7631/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7631/terms

    Time period covered
    1976
    Dataset funded by
    United States Department of Health, Education and Welfare. Administration on Aging
    Description

    The Master Facility Inventory data collection provides a comprehensive list of nursing, personal care, and domiciliary care facilities in the United States in 1976. The criteria for inclusion were that a facility provided medical, nursing, personal, or custodial care to groups of unrelated persons on an inpatient basis. The survey was conducted by the National Center for Health Statistics in order to update its Master Facility Inventory on the number and kinds of such facilities in the United States and the changes to the list since the last MFI survey. Information gathered is for the previous calendar year and includes facility identification information, ownership and type of facility, capacity and type of beds (i.e., total beds set up and staffed for use and number of beds certified by Medicare or Medicaid as skilled and intermediate), acceptance criteria, and total number of male and female residents (or patients) for 26,748 institutions.

  20. LinkedIn: U.S. users 2025, by education

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). LinkedIn: U.S. users 2025, by education [Dataset]. https://www.statista.com/statistics/246180/share-of-us-internet-users-who-use-linkedin-by-education-level/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2023
    Area covered
    United States
    Description

    According to an online survey conducted in February 2025 in the United States, ********* of LinkedIn users held a bachelor degree or equivalent. Additionally, ** percent of LinkedIn users in the U.S. held a masters degree or equivalent.

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Statista (2025). U.S. graduate business students' interest in online/hybrid programs 2023 [Dataset]. https://www.statista.com/statistics/1448135/north-america-interest-in-online-hybrid-business-school-programs/
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U.S. graduate business students' interest in online/hybrid programs 2023

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Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
North America, United States
Description

In 2023, ** percent of prospective graduate business students in the United States were interested in hybrid programs, an increase from ** percent in 2019. However, the overall preference in 2023 was for in-person business school programs, at ** percent.

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