Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

1.0K
The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
1.0K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

312
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
312
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

437
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
437
Information Processing Approach01:30

Information Processing Approach

81
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
81
Statgraphics01:10

Statgraphics

168
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
168
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

423
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
423

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The pig in the python: US decennial labor flows and economic opportunity, 1910-2040.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Differential Privacy and Census Data: Implications for Social and Economic Research.

AEA papers and proceedings. American Economic Association·2025
Same author

New Data Sources for Research on the Nineteenth-Century United States: IPUMS Full Count Datasets of the Censuses of Population 1850-1880.

Historical methods·2025
Same author

The IPUMS Multigenerational Longitudinal Panel: Progress and Prospects.

Historical methods·2025
Same author

Historical Context and Creation of the IPUMS Ancestry Full Count Population Census Data 1900-1930.

Historical methods·2025
Same author

When Privacy Protection Goes Wrong: How and Why the 2020 Census Confidentiality Program Failed.

The journal of economic perspectives : a journal of the American Economic Association·2025

Related Experiment Video

Updated: Jul 31, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.3K

Challenges of Large-Scale Data Processing in the 1990s: The IPUMS Experience.

Diana L Magnuson1, Steven Ruggles1

  • 1Institute for Social Research and Data Innovation, University of Minnesota, Minneapolis, MN, 55455, USA.

IEEE Annals of the History of Computing
|May 9, 2023
PubMed
Summary

The Integrated Public Use Microdata Series (IPUMS) project developed innovative computational infrastructure to manage large population datasets. This infrastructure democratized data access for researchers, overcoming early resource limitations.

More Related Videos

gP2S, an Information Management System for CryoEM Experiments
13:01

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

5.5K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K

Related Experiment Videos

Last Updated: Jul 31, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.3K
gP2S, an Information Management System for CryoEM Experiments
13:01

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

5.5K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K

Area of Science:

  • Social Sciences
  • Demography
  • Data Science

Background:

  • Limited data interoperability and accessibility hindered research in the early 1990s.
  • Inadequate dataset documentation and preservation threatened valuable scientific data.
  • The Integrated Public Use Microdata Series (IPUMS) project was established to address these critical issues.

Purpose of the Study:

  • To describe the improvised computational infrastructure developed for IPUMS between 1989 and 1999.
  • To trace the evolution of the IPUMS computing environment amidst rapid technological advancements.
  • To highlight IPUMS's role in the development of social science infrastructure and data democratization.

Main Methods:

  • Utilized archival sources, interviews, and personal recollections.
  • Documented the development of processing, storage, and network capacity for large population datasets.
  • Analyzed the creation of an accessible data dissemination system.

Main Results:

  • An improvised yet effective computational infrastructure was successfully developed.
  • The infrastructure facilitated the management and dissemination of the world's largest population datasets.
  • IPUMS significantly contributed to democratizing access to social science data.

Conclusions:

  • The development of IPUMS's computing environment demonstrates successful adaptation to technical challenges.
  • The project's infrastructure was crucial for overcoming resource limitations and data accessibility barriers.
  • IPUMS exemplifies the broader trend of developing robust social science infrastructure for enhanced data access.