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

Psychology as a Science01:13

Psychology as a Science

3.9K
Psychology, as a scientific discipline, aims to understand the mind and behavior through rigorous and systematic methods. The foundation of psychological research is evidence-based, relying heavily on the scientific method to derive and validate knowledge. This structured approach ensures that findings are reliable, valid, and applicable to broader contexts.
The scientific method in psychology involves six critical steps: making observations, formulating hypotheses, conducting tests, analyzing...
3.9K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

5.3K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
5.3K
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

1.3K
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...
1.3K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

44.7K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.7K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.1K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.1K
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K

You might also read

Related Articles

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

Sort by
Same author

The Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the architecture of the superfacility.

Journal of synchrotron radiation·2026
Same author

Corrigendum to "Effects of fatty acids and their monoglycerides on aging, structural characteristics, and thermal stability of starch-based straws" [Carbohydrate Polymers 373 (2026) 124680].

Carbohydrate polymers·2026
Same author

Corrigendum to 'Urinary CXCL9 for kidney allograft rejection: A systematic review and meta-analysis of diagnostic performance across clinical scenarios' [Transplantation Reviews 40/3 (2026) 101018].

Transplantation reviews (Orlando, Fla.)·2026
Same author

Focus on Finding Deepfakes: A Robust Proactive Detection Method Based on Orthogonal Moment Watermarking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Urinary CXCL9 for kidney allograft rejection: A systematic review and meta-analysis of diagnostic performance across clinical scenarios.

Transplantation reviews (Orlando, Fla.)·2026
Same author

Strong, Tough and Flame-Retardant Bio-Adhesives of Soybean Meal with High Penetrability by Hierarchical Dual Bio-Inspired Strategy.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

Sodium-Based Battery Component Design: Imitating Lithium or Forging New Paths?

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

Enhancing Birefringence of Sulphates by Polarity Modification in Planar Cations.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

In Situ Atomic-Scale Observation of Preferential Premelting at Oxide Crystal Defects.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

Thickness-Dependent Semiconductor-Metal Transition in Two-Dimensional Nonlayered Magnetic CuCo<sub>2</sub>S<sub>4</sub>.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

Programmable Control Over Radical and Non‑Radical Pathways in Fenton‑Like Catalysis via Carbon‑Encapsulated Iron Nanoreactors.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

Self-Powered MXene@Perovskite Thermoelectric Skin for Multimodal Mid-Infrared Sensing and Human Signal Recognition.

Small (Weinheim an der Bergstrasse, Germany)·2026
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
08:51

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Published on: May 27, 2008

13.6K

Synchrotron Big Data Science.

Chunpeng Wang1, Ullrich Steiner2, Alessandro Sepe1,2

  • 1Big Data Science Center, Shanghai Synchrotron Radiation Facility, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 201204, Shanghai, China.

Small (Weinheim an Der Bergstrasse, Germany)
|September 18, 2018
PubMed
Summary
This summary is machine-generated.

Synchrotrons generate vast amounts of experimental data, overwhelming manual analysis. Implementing Big Data strategies and automated pipelines is crucial for maximizing scientific discovery from synchrotron experiments.

Keywords:
big datacomputationlarge facilitymachine learningsynchrotron

More Related Videos

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.5K
Cell Culture on Silicon Nitride Membranes and Cryopreparation for Synchrotron X-ray Fluorescence Nano-analysis
08:26

Cell Culture on Silicon Nitride Membranes and Cryopreparation for Synchrotron X-ray Fluorescence Nano-analysis

Published on: December 10, 2019

10.0K

Related Experiment Videos

Last Updated: Feb 5, 2026

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
08:51

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Published on: May 27, 2008

13.6K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.5K
Cell Culture on Silicon Nitride Membranes and Cryopreparation for Synchrotron X-ray Fluorescence Nano-analysis
08:26

Cell Culture on Silicon Nitride Membranes and Cryopreparation for Synchrotron X-ray Fluorescence Nano-analysis

Published on: December 10, 2019

10.0K

Area of Science:

  • * Physics and Materials Science
  • * Chemistry
  • * Biology

Background:

  • * Rapid advancements in synchrotron technology accelerate experimental speeds and data acquisition.
  • * The resulting
  • data deluge
  • challenges traditional data analysis methods.
  • * Manual data analysis is no longer feasible, leading to underutilization of valuable experimental results.

Purpose of the Study:

  • * To review Big Data strategies implemented at modern synchrotrons.
  • * To highlight the challenges posed by large data volumes in experimental science.
  • * To explore the integration of technology for enhanced data analysis and scientific discovery.

Main Methods:

  • * Literature review of current Big Data approaches in synchrotron facilities.
  • * Analysis of the impact of data volume on experimental workflows.
  • * Documentation of technological solutions for data management and analysis.

Main Results:

  • * Synchrotrons face significant challenges in data storage, management, and analysis due to increased data generation.
  • * Automated data analysis pipelines are essential for efficient processing and fine-tuning of experiments.
  • * Hybridization of scientific research with advanced technology is key to overcoming data challenges.

Conclusions:

  • * Adoption of Big Data strategies is critical for synchrotrons to leverage their full scientific potential.
  • * Automated analysis and robust data management systems are necessary to handle the high throughput of experimental data.
  • * Technological advancements promise a significant increase in scientific discoveries through improved data utilization.