100+ datasets found
  1. Graduate school tuition at Harvard University 2007-2021

    • statista.com
    Updated Nov 13, 2020
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    Statista (2020). Graduate school tuition at Harvard University 2007-2021 [Dataset]. https://www.statista.com/statistics/939702/ivy-league-graduate-school-tuition-harvard-university/
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    Dataset updated
    Nov 13, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the tuition at Harvard University's Graduate School of Arts and Sciences from the academic year 2008 to the academic year 2021. During the academic year 2020 to 2021, tuition for the Graduate School of Arts and Sciences was ****** U.S. dollars.

  2. Harvard Tuition

    • kaggle.com
    zip
    Updated Nov 11, 2016
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    Harvard University (2016). Harvard Tuition [Dataset]. https://www.kaggle.com/harvard-university/harvard-tuition
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    zip(3232 bytes)Available download formats
    Dataset updated
    Nov 11, 2016
    Dataset authored and provided by
    Harvard University
    License

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

    Description

    Harvard tuition data since 1985, for both the undergraduate College and the graduate and professional schools.

    The Data

    This dataset consists of two files: tuition_graduate.csv and undergraduate_package.csv, which contain the tuition and fees data for the graduate schools and undergraduate College, respectively.

    tuition_graduate.csv contains the following fields:

    • academic.year: the academic year, between 1985 and 2017
    • school: the name of the graduate or professional school; one of GSAS, Business (MBA), Design, Divinity, Education, Government, Law, Medical/Dental, Public Health (1-Year MPH)
    • cost: the cost of tuition at a given school in a given year

    undergraduate_package.csv contains the following fields:

    • academic.year: the academic year, between 1985 and 2017
    • component: the component of undergraduate fees; one of Tuition,*Health Services Fee*,*Student Services Fee*,*Room*,*Board*,*Total*
    • cost: the cost of the component; or, if the component is Total, the sum of the costs of the other components in that year

    Acknowledgements

    All of the data in this dataset comes from The Harvard Open Data Dataverse. Specific citations are as follows:

    for the graduate tuition data:
    Harvard Financial Aid Office, 2015, "Harvard graduate school tuition", doi:10.7910/DVN/LV0YSQ, Harvard Dataverse, V1

    for the undergraduate tuition and fees data:
    Harvard Financial Aid, 2015, "Harvard College Tuition", doi:10.7910/DVN/MSS2BE, Harvard Dataverse, V1 [UNF:6:FyXNny+KBTgLX+DzewzEfg==]

  3. o

    Park Lane Cross Street Data in Harvard, MA

    • ownerly.com
    Updated Dec 10, 2021
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    Ownerly (2021). Park Lane Cross Street Data in Harvard, MA [Dataset]. https://www.ownerly.com/ma/harvard/park-ln-home-details
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    Dataset updated
    Dec 10, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Harvard, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Park Lane cross streets in Harvard, MA.

  4. Harvard, , MA, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
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    Point2Homes (2025). Harvard, , MA, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/MA/Central-Massachusetts/Greater-Harvard-Demographics.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    United States, Harvard, Massachusetts
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for Harvard, , MA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  5. H

    Replication Data for: 'Asset Specificity of Nonfinancial Firms'

    • dataverse.harvard.edu
    Updated Dec 16, 2022
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    Amir Kermani; Yueran Ma (2022). Replication Data for: 'Asset Specificity of Nonfinancial Firms' [Dataset]. http://doi.org/10.7910/DVN/FZGQBX
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 16, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Amir Kermani; Yueran Ma
    License

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

    Description

    The data and programs replicate tables and figures from "Asset Specificity of Nonfinancial Firms", by Kermani and Ma. Please see the readme file for additional details.

  6. H

    MA Spending Data 2010--2015

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Dec 28, 2017
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    Gaurav Sood (2017). MA Spending Data 2010--2015 [Dataset]. http://doi.org/10.7910/DVN/BFHA9V
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 28, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Gaurav Sood
    License

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

    Description

    Data on how MA state spending. From: http://opencheckbook.itd.state.ma.us/analytics/saw.dll?Dashboard Downloaded on Nov. 8, 2017 (relevant for gauging time for which we have the data.)

  7. H

    MA CHOICES Survey 2020-2023 Public Data Set

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Oct 16, 2025
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    Rebekka Lee; James Daly (2025). MA CHOICES Survey 2020-2023 Public Data Set [Dataset]. http://doi.org/10.7910/DVN/WIGAVN
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Rebekka Lee; James Daly
    License

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

    Description

    Study Design: Using a repeated measures quasi-experimental design, the MA CHOICES study collected survey data between January 2020 and April 2023 in three waves. Data Collection Methods: Data were collected via an online survey using REDCap. Participants: Participants in this study are state and local public health agency staff and their community partners in Boston and Massachusetts. Measures: Measures include self-efficacy of participants related to using cost-effectiveness concepts for decision-making and perceptions of feasibility and acceptability of interventions. Data Set Contents and Notes: The public data set includes completed surveys with identifying information removed to protect participant confidentiality. Some participants were surveyed at multiple time points. The public data set does not link participants over time, due to small sample sizes and resulting risk of breaching confidentiality. Funding: Centers for Disease Control and Prevention, Health Promotion and Disease Prevention Research Centers (6U48DP006376; PI: Steve Gortmaker)

  8. H

    Facilities Data – MS

    • dataverse.harvard.edu
    Updated Jun 10, 2025
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    Amir M. Gazar (2025). Facilities Data – MS [Dataset]. http://doi.org/10.7910/DVN/GINNYE
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Amir M. Gazar
    License

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

    Description

    Facilities data for MS, derived from U.S. EPA CAMPD.

  9. N

    Harvard, Massachusetts Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Harvard, Massachusetts Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Harvard town from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/harvard-ma-population-by-year/
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    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Harvard, Massachusetts
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Harvard town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Harvard town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Harvard town was 6,928, a 0.45% increase year-by-year from 2022. Previously, in 2022, Harvard town population was 6,897, an increase of 0.47% compared to a population of 6,865 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Harvard town increased by 928. In this period, the peak population was 6,928 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Harvard town is shown in this column.
    • Year on Year Change: This column displays the change in Harvard town population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Harvard town Population by Year. You can refer the same here

  10. e

    Data from: Harvard Forest site, station Norfolk County, MA (FIPS 25021),...

    • portal.edirepository.org
    • search.dataone.org
    csv
    Updated 2013
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    Nichole Rosamilia; Christopher Boone; Ted Gragson; Michael R. Haines (2013). Harvard Forest site, station Norfolk County, MA (FIPS 25021), study of population (urban) in units of number on a yearly timescale [Dataset]. http://doi.org/10.6073/pasta/3557026a43c1f95fa70a7c5ea6d5657b
    Explore at:
    csvAvailable download formats
    Dataset updated
    2013
    Dataset provided by
    EDI
    Authors
    Nichole Rosamilia; Christopher Boone; Ted Gragson; Michael R. Haines
    Time period covered
    1800 - 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

    Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

    The following dataset from Harvard Forest (HFR) contains population (urban) measurements in number units and were aggregated to a yearly timescale.

  11. e

    Data from: Harvard Forest site, station Plymouth County, MA (FIPS 25023),...

    • portal.edirepository.org
    csv
    Updated 2013
    + more versions
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    Christopher Boone; Ted Gragson; Nichole Rosamilia; Michael R. Haines (2013). Harvard Forest site, station Plymouth County, MA (FIPS 25023), study of percent urban population in units of percent on a yearly timescale [Dataset]. http://doi.org/10.6073/pasta/2c1a3d2ba6dc72d3be5643b8f681931e
    Explore at:
    csvAvailable download formats
    Dataset updated
    2013
    Dataset provided by
    EDI
    Authors
    Christopher Boone; Ted Gragson; Nichole Rosamilia; Michael R. Haines
    Time period covered
    1790 - 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

    Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

    The following dataset from Harvard Forest (HFR) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  12. o

    Harvard Way Cross Street Data in Newbury, MA

    • ownerly.com
    Updated Jan 16, 2022
    + more versions
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    Ownerly (2022). Harvard Way Cross Street Data in Newbury, MA [Dataset]. https://www.ownerly.com/ma/newbury/harvard-way-home-details
    Explore at:
    Dataset updated
    Jan 16, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Harvard Way, Newbury, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Harvard Way cross streets in Newbury, MA.

  13. e

    Data from: Harvard Forest site, station Middlesex County, MA (FIPS 25017),...

    • portal.edirepository.org
    • search.dataone.org
    csv
    Updated 2013
    + more versions
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    Michael R. Haines; Christopher Boone; Ted Gragson; Nichole Rosamilia (2013). Harvard Forest site, station Middlesex County, MA (FIPS 25017), study of population (urban) in units of number on a yearly timescale [Dataset]. http://doi.org/10.6073/pasta/a5565dbef6e76d42484cac13870ac13f
    Explore at:
    csvAvailable download formats
    Dataset updated
    2013
    Dataset provided by
    EDI
    Authors
    Michael R. Haines; Christopher Boone; Ted Gragson; Nichole Rosamilia
    Time period covered
    1790 - 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

    Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

    The following dataset from Harvard Forest (HFR) contains population (urban) measurements in number units and were aggregated to a yearly timescale.

  14. e

    Data from: Harvard Forest site, station Norfolk County, MA (FIPS 25021),...

    • portal.edirepository.org
    csv
    Updated 2013
    + more versions
    Share
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    Ted Gragson; Michael R. Haines; Nichole Rosamilia; Christopher Boone (2013). Harvard Forest site, station Norfolk County, MA (FIPS 25021), study of human population (total) in units of number on a yearly timescale [Dataset]. http://doi.org/10.6073/pasta/1377cc36d1c6005c4221d59ef16ba4ab
    Explore at:
    csvAvailable download formats
    Dataset updated
    2013
    Dataset provided by
    EDI
    Authors
    Ted Gragson; Michael R. Haines; Nichole Rosamilia; Christopher Boone
    Time period covered
    1800 - 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

    Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

    The following dataset from Harvard Forest (HFR) contains human population (total) measurements in number units and were aggregated to a yearly timescale.

  15. o

    Harvard Street Cross Street Data in Cleveland, MS

    • ownerly.com
    Updated Dec 11, 2021
    + more versions
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    Ownerly (2021). Harvard Street Cross Street Data in Cleveland, MS [Dataset]. https://www.ownerly.com/ms/cleveland/harvard-st-home-details
    Explore at:
    Dataset updated
    Dec 11, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Mississippi, Cleveland, Harvard Street
    Description

    This dataset provides information about the number of properties, residents, and average property values for Harvard Street cross streets in Cleveland, MS.

  16. o

    Mill Road Cross Street Data in Harvard, MA

    • ownerly.com
    Updated Jan 15, 2022
    + more versions
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    Ownerly (2022). Mill Road Cross Street Data in Harvard, MA [Dataset]. https://www.ownerly.com/ma/harvard/mill-rd-home-details
    Explore at:
    Dataset updated
    Jan 15, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Harvard, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Mill Road cross streets in Harvard, MA.

  17. d

    DNA methylation data in MS immune cells and whole blood

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Bos, Steffan Daniel (2023). DNA methylation data in MS immune cells and whole blood [Dataset]. http://doi.org/10.7910/DVN/27694
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Bos, Steffan Daniel
    Description

    These are raw data of DNA methylation obtained on the Illumina 450K humanmethylation chip. The samples are either MS patients (MS) or healthy controls (K). Beta values after BMIQ normalisation are provided.

  18. H

    Replication Data for: Research data management need assessment of LIS...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Nov 20, 2025
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    Tamanna Hossain (2025). Replication Data for: Research data management need assessment of LIS graduate students [Dataset]. http://doi.org/10.7910/DVN/HWGQWO
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 20, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Tamanna Hossain
    License

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

    Description

    This dataset comprises survey data collected from graduate students at Simmons University's School of Library and Information Science (LIS), focusing on their Research Data Management (RDM) awareness, experience, preparedness and need for professional development. The files in this dataset include the raw survey responses (in CSV format).

  19. H

    Replication Data for: Following the Trail of Words: Mapping the Trending...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jan 30, 2024
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    Thales Carvalho; Vinicius Santos; Yulieth Martinez (2024). Replication Data for: Following the Trail of Words: Mapping the Trending Topics of Graduate Research in the Brazilian IR Scholarship (1987-2018) [Dataset]. http://doi.org/10.7910/DVN/NFGEYY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 30, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Thales Carvalho; Vinicius Santos; Yulieth Martinez
    License

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

    Description

    This paper advances our understanding of the Brazilian IR scholarship by exploring the topics addressed and the geographic scope adopted by its authors, tracing their evolution over time. We utilize data from 2417 master’s theses and doctoral dissertations from all IR graduate programs in the country, spanning the years 1987 to 2018. By employing a structural topic model, we identify latent topics present in the abstracts of these documents. This analysis not only allows us to trace a thematic profile of the Brazilian IR scholarship but also provides evidence that the expansion of the Brazilian IR scholarship in the 2000s has led to 01. an increased diversity of topics explored by researchers, and 02. analyses with a broader geographic scope, extending beyond the immediate region. Therefore, as the Brazilian IR scholarship has consolidated, there has been a transition from a policy-oriented approach to a more active involvement in international debates across different subjects and regions.

  20. H

    Replication Data for: Is Graduate School Worth It? Harassment and Graduate...

    • dataverse.harvard.edu
    Updated Mar 24, 2023
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    Dana El Kurd; Calla Hummel (2023). Replication Data for: Is Graduate School Worth It? Harassment and Graduate Student Satisfaction in Political Science [Dataset]. http://doi.org/10.7910/DVN/KN28MM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Dana El Kurd; Calla Hummel
    License

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

    Description

    This paper investigates the dynamics of discrimination in Political Science PhD programs with a survey of current political science graduate students in the top 50 departments. We focus on mentorship, funding, sexual harassment, racism, homophobia, and labor exploitation: 20% of respondents report labor exploitation, 19% experienced racial discrimination, 9% report sexual harassment and 6% experienced homophobia. Discrimination is uneven across individuals: Some groups of graduate students experience widespread discrimination, especially racial discrimination, while other groups are largely unaware of these issues. We ran a survey experiment to gauge the impact of misconduct on formal reporting mechanisms and find that hearing about racial discrimination has a chilling effect on reporting. Importantly, we find that experiencing discrimination harms how satisfied students are in their programs. We find that factors linked to student vulnerability, like international status and funding, are significantly associated with harassment, and that reporting discrimination predicts more discrimination.

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Statista (2020). Graduate school tuition at Harvard University 2007-2021 [Dataset]. https://www.statista.com/statistics/939702/ivy-league-graduate-school-tuition-harvard-university/
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Graduate school tuition at Harvard University 2007-2021

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Dataset updated
Nov 13, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic shows the tuition at Harvard University's Graduate School of Arts and Sciences from the academic year 2008 to the academic year 2021. During the academic year 2020 to 2021, tuition for the Graduate School of Arts and Sciences was ****** U.S. dollars.

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