Related Experiment Video
Updated: Aug 2, 2026
07:21
Automated Interactive Video Playback for Studies of Animal Communication
Published on: February 10, 2011
If these data could talk
Thomas Pasquier1, Matthew K Lau2, Ana Trisovic3,4
1School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Scientific Data
|September 6, 2017
Summary
Formalizing scientific reporting enhances research reproducibility. Data provenance provides systematic records linking data, analysis, and publications, improving clarity and efficiency in data-driven science.
Area of Science:
- Scientific inquiry
- Data-driven methods
- Computational science
Background:
- Data-driven methods dominate scientific inquiry.
- Open data and software accelerate data analysis.
- Low reproducibility rates are a growing concern in science.
Purpose of the Study:
- To address low reproducibility in scientific fields.
- To highlight the need for formalism in reporting research results.
- To introduce data provenance as a solution for enhancing reproducibility.
Main Methods:
- Reviewing the impact of data-driven methods on scientific reproducibility.
- Analyzing the challenges in reporting end-to-end research results.
- Proposing data provenance as a systematic approach to formalize reporting.
Main Results:
- Lack of formalism in reporting hinders reproducibility.
- Accessibility of data and methods does not guarantee clarity.
- Data provenance offers a structured way to document research.
Conclusions:
- Formalized reporting is crucial for scientific reproducibility.
- Data provenance systems can improve clarity and efficiency in research.
- Implementing data provenance aids in tracking data sources, analysis, and publications.
More Related Videos
07:12Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
Published on: August 26, 2016
07:14Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
Related Concept Videos
01:13Data Collection by Experiments
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public clinical trial...
An example of the experimental method is a public clinical trial...
01:11How Data are Classified: Categorical Data
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...
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...
01:30Data Collection I
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
01:29Data Collection II
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
01:05Data Collection III
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
01:24Data Reporting and Recording
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...