100+ datasets found
  1. Total enrollment of leading U.S. medical schools in research 2025

    • statista.com
    Updated Sep 2, 2025
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    Statista (2025). Total enrollment of leading U.S. medical schools in research 2025 [Dataset]. https://www.statista.com/statistics/422284/total-enrollment-of-leading-us-medical-schools-in-research/
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    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Among the top (tier one) medical schools for research in the U.S.*, the Case Western Reserve University in Cleveland, Ohio had the highest enrollment, at *** students. This statistic depicts the total enrollment of the best medical schools for research in the United States, as of 2025.

  2. i

    Grant Giving Statistics for University Medical Branch

    • instrumentl.com
    Updated Mar 21, 2022
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    (2022). Grant Giving Statistics for University Medical Branch [Dataset]. https://www.instrumentl.com/990-report/university-medical-branch
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    Dataset updated
    Mar 21, 2022
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of University Medical Branch

  3. Medical graduates in the United Kingdom (UK) 2003-2022

    • statista.com
    Updated Nov 30, 2023
    + more versions
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    Statista (2023). Medical graduates in the United Kingdom (UK) 2003-2022 [Dataset]. https://www.statista.com/statistics/473206/medical-graduates-in-the-united-kingdom-uk/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of medical graduates in the United Kingdom increased by 305 graduates (+3.45 percent) in 2022 in comparison to the previous year. With 9,140 graduates, the number of medical graduates thereby reached its highest value in the observed period. Medical graduates are students who have graduated from medical school or similar institutions within a given year. Per its definition, the OECD excludes dental, public health, or epidemiology graduates. The rate of medical graduates is of importance especially in countries with physician shortages.Find more key insights for the number of medical graduates in countries like Denmark, Sweden, and Estonia.

  4. S

    Sri Lanka Number of Graduating: Medicine

    • ceicdata.com
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    CEICdata.com, Sri Lanka Number of Graduating: Medicine [Dataset]. https://www.ceicdata.com/en/sri-lanka/university-education-statistics/number-of-graduating-medicine
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    Dataset provided by
    CEICdata.com
    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, 2005 - Dec 1, 2016
    Area covered
    Sri Lanka
    Variables measured
    Education Statistics
    Description

    Sri Lanka Number of Graduating: Medicine data was reported at 1,135.000 Person in 2016. This records a decrease from the previous number of 1,145.000 Person for 2015. Sri Lanka Number of Graduating: Medicine data is updated yearly, averaging 803.000 Person from Dec 1987 (Median) to 2016, with 30 observations. The data reached an all-time high of 1,294.000 Person in 2008 and a record low of 70.000 Person in 1988. Sri Lanka Number of Graduating: Medicine data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.G034: University Education Statistics.

  5. Number of university students studying medicine in China 2012-2021

    • statista.com
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    Statista, Number of university students studying medicine in China 2012-2021 [Dataset]. https://www.statista.com/statistics/1365372/china-number-of-medical-students-in-universities/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2021, there were more than *** thousand medical students studying in Chinese universities. The number of enrollments increased by more than 100 percent in the past decade, largely due to the significant increase in demand for medical professionals in China.

  6. Medical school tuition and fees at Yale University 2008-2020

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Medical school tuition and fees at Yale University 2008-2020 [Dataset]. https://www.statista.com/statistics/940016/ivy-league-medical-school-tuition-yale-university/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the medical school tuition and required fees at Yale University from 2008 to 2020. For the academic year 2020 to 2021, tuition at the Yale School of Medicine was ****** U.S. dollars and the required fees amounted to ***** U.S. dollars.

  7. QS World ranked Universities (2018-2022)

    • kaggle.com
    zip
    Updated Dec 28, 2022
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    Aklima Akter Rimi (2022). QS World ranked Universities (2018-2022) [Dataset]. https://www.kaggle.com/datasets/aklimarimi/qs-world-ranked-universities-20182022
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    zip(52583 bytes)Available download formats
    Dataset updated
    Dec 28, 2022
    Authors
    Aklima Akter Rimi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This Dataset is about top universities around the world according QS ranking from 2018 to 2022, Life Science and Medicine Department. This is a Clear Dataset.

    Contains

    This dataset is containing 6 columns and 5200+ rows. Year : This column has value 2018,2019,2020,2021,2022 Rank : Rank is given by QS according to point starts with 1 Name : Every University names based on Rank Point : Every University has own earned point, based on education quality, faculty facilities, student facilities and so on City : A university located city. Country : University's located Country

    Target

    Using this dataset you can do awesome analysis and build a story.

    I've created That Dashboard Along with Story

    Motivate me by clicking upvote button.

  8. i

    Grant Giving Statistics for University Of Maryland Medical System

    • instrumentl.com
    Updated Feb 11, 2021
    + more versions
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    (2021). Grant Giving Statistics for University Of Maryland Medical System [Dataset]. https://www.instrumentl.com/990-report/university-of-maryland-medical-system-corporation
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    Dataset updated
    Feb 11, 2021
    Area covered
    Maryland
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of University Of Maryland Medical System

  9. Data from: Medical University of South Carolina Stroke Data (ARRA)

    • icpsr.umich.edu
    Updated Nov 20, 2018
    + more versions
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    Kautz, Steven A.; Neptune, Richard R. (2018). Medical University of South Carolina Stroke Data (ARRA) [Dataset]. http://doi.org/10.3886/ICPSR37122.v2
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    Dataset updated
    Nov 20, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Kautz, Steven A.; Neptune, Richard R.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37122/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37122/terms

    Time period covered
    2011 - 2012
    Area covered
    United States, South Carolina
    Description

    To access this data collection, please click on the Restricted Data button above. You will need to download and complete the data use agreement and then email it to icpsr-addep@umich.edu. The instructions are in the form. This study was conducted at the Medical University of South Carolina over the span of one year to delineate the cause/effect relationship between neural output and the biomechanical functions being executed in walking in post-stroke patients. Kinematic, kinetic, and electromyography (EMG) data were collected from 27 post-stroke subjects and from 17 healthy control subjects. Each subject walked on a treadmill at their self-selected walking speed in addition to a randomized block design of four steady-state mobility capability tasks: walking at maximum speed, and walking at self-selected speed with maximum cadence, maximum step length, and maximum step height.

  10. Graduates of medicine by country in 2021

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Graduates of medicine by country in 2021 [Dataset]. https://www.statista.com/statistics/283241/medical-graduates-per-100-000-inhabitants/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2021, there were 27 medical students who graduated per 100,000 population in Latvia, the highest in OECD countries. In comparison there were just 13 graduates of medicine per 100,000 population in the UK, less than half of the top countries. This statistic depicts the number of medical graduates per 100,000 inhabitants in OECD countries in 2021.

  11. Z

    Data from: Publicly available medical text data with authentic quality

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 14, 2022
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    Rina Kagawa; Yukino Baba; Hideo Tsurushima (2022). Publicly available medical text data with authentic quality [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4064152
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    Dataset updated
    Jul 14, 2022
    Dataset provided by
    University of Tsukuba
    Authors
    Rina Kagawa; Yukino Baba; Hideo Tsurushima
    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 public medical text record (progress notes) written in Japanese.

    Any researchers can use this dataset without privacy issues.

    CC BY-NC 4.0

    crowd.zip: 9,756 pseudo progress notes written by crowd workers

    crowd_evaluated.zip: 83 pseudo progress notes with authentic quality written by crowd workers

    MD.zip: 19 pseudo progress notes written by medical doctors

    Reference:

    Kagawa, R., Baba, Y., & Tsurushima, H. (2021, December). A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 3534-3543). IEEE.

    http://hdl.handle.net/2241/0002002333

    The supplemental files of the paper are here: https://github.com/rinabouk/HMData2021

  12. u

    Data from: Introducing Attribute Association Graphs to Facilitate Medical...

    • fdr.uni-hamburg.de
    csv, dump, json, pdf
    Updated Jun 12, 2023
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    Louis Bellmann; Alexander Johannes Wiederhold; Leona Trübe; Raphael Twerenbold; Frank Ückert; Karl Gottfried (2023). Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data [Dataset]. http://doi.org/10.25592/uhhfdm.13421
    Explore at:
    dump, csv, pdf, jsonAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    University Medical Center Hamburg-Eppendorf, University Heart & Vascular Center Hamburg, Hamburg, Germany
    University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany
    Authors
    Louis Bellmann; Alexander Johannes Wiederhold; Leona Trübe; Raphael Twerenbold; Frank Ückert; Karl Gottfried
    License

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

    Description

    This dataset capures statistical analysis of the HCHS cohort study using an attribute association graph and dashboard. This graph structure considers and visualizes subject attributes, their association with disease and control cohorts, and conditional relationships between attributes. Properties of 10,000 participants were analyzed for their association with cardiovascular disease. The data is presented in the form of Neo4J database dumps and can be installed and explored following the given user guide.

  13. PFAS and multimorbidity among a random sample of patients from the...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Oct 28, 2022
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    U.S. EPA Office of Research and Development (ORD) (2022). PFAS and multimorbidity among a random sample of patients from the University of North Carolina Healthcare System [Dataset]. https://catalog.data.gov/dataset/pfas-and-multimorbidity-among-a-random-sample-of-patients-from-the-university-of-north-car
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    Dataset updated
    Oct 28, 2022
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    This dataset contains electronic health records used to study associations between PFAS occurrence and multimorbidity in a random sample of UNC Healthcare system patients. The dataset contains the medical record number to uniquely identify each individual as well as information on PFAS occurrence at the zip code level, the zip code of residence for each individual, chronic disease diagnoses, patient demographics, and neighborhood socioeconomic information from the 2010 US Census. 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: Because this data has PII from electronic health records the data can only be accessed with an approved IRB application. Project analytic code is available at L:/PRIV/EPHD_CRB/Cavin/CARES/Project Analytic Code/Cavin Ward/PFAS Chronic Disease and Multimorbidity. Format: This data is formatted as a R dataframe and associated comma-delimited flat text file. The data has the medical record number to uniquely identify each individual (which also serves as the primary key for the dataset), as well as information on the occurrence of PFAS contamination at the zip code level, socioeconomic data at the census tract level from the 2010 US Census, demographics, and the presence of chronic disease as well as multimorbidity (the presence of two or more chronic diseases). This dataset is associated with the following publication: Ward-Caviness, C., J. Moyer, A. Weaver, R. Devlin, and D. Diazsanchez. Associations between PFAS occurrence and multimorbidity as observed in an electronic health record cohort. Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn, NETHERLANDS, 6(4): p e217, (2022).

  14. B

    Replication data for: First-year university is associated with greater body...

    • borealisdata.ca
    • search.dataone.org
    Updated Jul 24, 2019
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    Andrea Josse (2019). Replication data for: First-year university is associated with greater body weight, body composition and adverse dietary changes in males than females [Dataset]. http://doi.org/10.5683/SP2/6QNBRU
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 24, 2019
    Dataset provided by
    Borealis
    Authors
    Andrea Josse
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP2/6QNBRUhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP2/6QNBRU

    Description

    These are the replication datasets for the article entitled, "First-year university is associated with greater body weight, body composition and adverse dietary changes in males than females".

  15. d

    Data from: Birth weight and economic growth data sets, University Lying-in...

    • dataone.org
    • borealisdata.ca
    • +1more
    Updated Oct 23, 2024
    + more versions
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    Gagné, Monique; Ward, W. Peter (2024). Birth weight and economic growth data sets, University Lying-in Hospital, Montréal, 1843-1905, [2012] [Dataset]. http://doi.org/10.5683/SP2/3EPGOA
    Explore at:
    Dataset updated
    Oct 23, 2024
    Dataset provided by
    Borealis
    Authors
    Gagné, Monique; Ward, W. Peter
    Time period covered
    Jan 1, 1843 - Jan 1, 1905
    Area covered
    Montreal
    Description

    The variables contained in the data sets are primarily concerned with perinatal outcomes and maternal health. A number of variables with respect to the social and economic status of the mothers and their families were also included (ie. Occupation, Marital status, Region). While all nine data sets are centered around these common themes and hold many variables in common, each data set has a unique combination of variables. The types of fields are wide-ranging but are primarily concerned with infant birth, maternal health, and socioeconomic status. The Montréal cases were transcribed from the Register of Patients of the University Lying-in Hospital, a large leather-bound ledger now kept in the McGill University Archives, Montréal, Quebec. Because the number of patients was small, all case records were coded. The series runs from 1843-1900. Unfortunately, the information for the period 1843 to 1850 is too limited to support systematic analysis. In 1901 the hospital adopted a new form of taking case records although the data gathered remained consistent with previous practice. Unfortunately, this information was not collected as thoroughly as had been the practice before the turn of the century. The series ends abruptly and inexplicably in 1905. The initial data base included 8216 cases.

  16. N

    Nepal Number of Student: Kathmandu University: School of Medical Science

    • ceicdata.com
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    CEICdata.com, Nepal Number of Student: Kathmandu University: School of Medical Science [Dataset]. https://www.ceicdata.com/en/nepal/education-statistics/number-of-student-kathmandu-university-school-of-medical-science
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2004 - Jul 1, 2016
    Area covered
    Nepal
    Variables measured
    Education Statistics
    Description

    Nepal Number of Student: Kathmandu University: School of Medical Science data was reported at 9,784.000 Person in 2017. This records an increase from the previous number of 9,675.000 Person for 2016. Nepal Number of Student: Kathmandu University: School of Medical Science data is updated yearly, averaging 4,139.500 Person from Jul 1999 (Median) to 2017, with 18 observations. The data reached an all-time high of 9,784.000 Person in 2017 and a record low of 93.000 Person in 2001. Nepal Number of Student: Kathmandu University: School of Medical Science data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Nepal – Table NP.G020: Education Statistics.

  17. u

    Electronic Medical Records National Data Asset

    • figshare.unimelb.edu.au
    • researchdata.edu.au
    Updated Dec 12, 2023
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    ROGER WARD; DOUGLAS BOYLE (2023). Electronic Medical Records National Data Asset [Dataset]. http://doi.org/10.26188/19932020.v2
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    The University of Melbourne
    Authors
    ROGER WARD; DOUGLAS BOYLE
    License

    https://library.unimelb.edu.au/restricted-licence-templatehttps://library.unimelb.edu.au/restricted-licence-template

    Description

    Data from hospital Electronic Medical Record (EMR) Systems is being transformed to an international gold standard Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).Tools, mappings and experience gained will be made openly available, and a community of practice and a roadmap for continued national implementation will be built. The Data Asset will significantly improve the quality, accessibility and feasibility of EMR data warehouses by streamlining data governance, consent and ethics. We will convert three existing data warehouses from Queensland Health, Austin Health and Western Health so that they can be accessed through a common interface. Learnings from the Cerner conversions will then be applied to the conversion of other data warehouse platforms including the EPIC EMR system which will be investigated in collaboration with the Peter MacCallum Cancer Centre and the Royal Childrens Hospital.The dataset is based on Version 5.4 of the OMOP Common data model.Specifications of data model:https://ohdsi.github.io/CommonDataModel/cdm54.htmlIntegrated Data Governance, Digital Health, and the Common Data Model (OMOP-CDM)DOI:10.21203/rs.3.rs-3479039/v1Citation guidance here: https://ohdsi-australia.org/EMR2OMOP.html

  18. Z

    A Pragmatic Trial of Interactive Online Statistical Webtools for Teaching...

    • data.niaid.nih.gov
    Updated Jul 27, 2021
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    Hardy, Steven; McHugh, Douglas (2021). A Pragmatic Trial of Interactive Online Statistical Webtools for Teaching Biostatistics to First Year Medical Students: A Constructivism-Informed Approach [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_5092290
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    Dataset updated
    Jul 27, 2021
    Dataset provided by
    Frank H. Netter MD School of Medicine at Quinnipiac University
    Authors
    Hardy, Steven; McHugh, Douglas
    License

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

    Description

    Underlying quantitative and anonymised qualitative data for the study, "A Pragmatic Trial of Interactive Online Statistical Tools for Teaching Biostatistics to First Year Medical Students: A Constructivism-Informed Approach"

  19. d

    Data from: Medical informatics in an undergraduate curriculum: a qualitative...

    • catalog.data.gov
    • data.virginia.gov
    Updated Sep 6, 2025
    + more versions
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    National Institutes of Health (2025). Medical informatics in an undergraduate curriculum: a qualitative study [Dataset]. https://catalog.data.gov/dataset/medical-informatics-in-an-undergraduate-curriculum-a-qualitative-study
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Background There is strong support for educating physicians in medical informatics, and the benefits of such education have been clearly identified. Despite this, North American medical schools do not routinely provide education in medical informatics. Methods We conducted a qualitative study to identify issues facing the introduction of medical informatics into an undergraduate medical curriculum. Nine key informants at the University of Toronto medical school were interviewed, and their responses were transcribed and analyzed to identify consistent themes. Results The field of medical informatics was not clearly understood by participants. There was, however, strong support for medical informatics education, and the benefits of such education were consistently identified. In the curriculum we examined, medical informatics education was delivered informally and inconsistently through mainly optional activities. Issues facing the introduction of medical informatics education included: an unclear understanding of the discipline; faculty and administrative detractors and, the dense nature of the existing undergraduate medical curriculum. Conclusions The identified issues may present serious obstacles to the introduction of medical informatics education into an undergraduate medicine curriculum, and we present some possible strategies for addressing these issues.

  20. Z

    Data from: Open Research Data in Medicine - Polish scientists' attitudes...

    • data.niaid.nih.gov
    • ppm.gumed.edu.pl
    • +2more
    Updated May 13, 2020
    + more versions
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    Agnieszka Milewska; Natalia Wiśniewska (2020). Open Research Data in Medicine - Polish scientists' attitudes towards data sharing [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3368255
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    Dataset updated
    May 13, 2020
    Dataset provided by
    Medical University of Gdansk
    Authors
    Agnieszka Milewska; Natalia Wiśniewska
    License

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

    Description

    The survey on the attitudes and beliefs of research staff has been carried out at selected Polish medical universities. The purpose of the questionnaire was to collect respondents' opinions on opening research data created during their scientific work. The research was aimed at preparing the necessary educational, technical and legal support for scientists after launching the Polish Medical Platform, when Polish scientists will be asked to deposit their data in local repositories.

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Statista (2025). Total enrollment of leading U.S. medical schools in research 2025 [Dataset]. https://www.statista.com/statistics/422284/total-enrollment-of-leading-us-medical-schools-in-research/
Organization logo

Total enrollment of leading U.S. medical schools in research 2025

Explore at:
Dataset updated
Sep 2, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

Among the top (tier one) medical schools for research in the U.S.*, the Case Western Reserve University in Cleveland, Ohio had the highest enrollment, at *** students. This statistic depicts the total enrollment of the best medical schools for research in the United States, as of 2025.

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