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

Data: Types and Distribution01:19

Data: Types and Distribution

2.2K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
2.2K
Archival Research01:40

Archival Research

15.6K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
15.6K
Data Collection II01:29

Data Collection II

9.5K
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...
9.5K
Data Collection I01:30

Data Collection I

8.1K
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...
8.1K
Data Collection by Observations01:08

Data Collection by Observations

11.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
11.0K
Data Collection by Survey01:07

Data Collection by Survey

7.5K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
7.5K

You might also read

Related Articles

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

Sort by
Same author

FAIR Data Infrastructure.

Advances in biochemical engineering/biotechnology·2022
Same journal

N2-substituted triazoles as trypanothione reductase inhibitors: in silico evaluation, synthesis, and anti-leishmanial activity.

Journal of computer-aided molecular design·2026
Same journal

Theoretical study for investigating three experimental dose-response curves of rosy odorants on human olfactory receptor OR2A25 via molecular docking calculations and statistical physics modeling.

Journal of computer-aided molecular design·2026
Same journal

A linear models approach to optimize carbazole-based dyes for solar cell applications.

Journal of computer-aided molecular design·2026
Same journal

DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.

Journal of computer-aided molecular design·2026
Same journal

Two faces of drug repurposing data in machine learning-driven structure-based virtual screening supported by interaction fingerprints.

Journal of computer-aided molecular design·2026
Same journal

Repurposing bleomycin against Acinetobacter baumannii HisG: computational, biophysical, and antibacterial evidence.

Journal of computer-aided molecular design·2026
See all related articles

Related Experiment Video

Updated: Apr 26, 2026

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

5.7K

DataCite and DOI names for research data.

Janna Neumann1, Jan Brase

  • 1German National Library of Science and Technology (TIB), Welfengarten 1B, 30167, Hannover, Germany, Janna.Neumann@tib.uni-hannover.de.

Journal of Computer-Aided Molecular Design
|July 21, 2014
PubMed
Summary
This summary is machine-generated.

Publishing research data is challenging due to lack of acceptance and infrastructure. DataCite, using Digital Object Identifiers (DOI), promotes data citation, accessibility, and archiving for better research acknowledgement.

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.9K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.8K

Related Experiment Videos

Last Updated: Apr 26, 2026

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

5.7K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.9K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.8K

Area of Science:

  • Scholarly communication
  • Data management
  • Bibliometrics

Background:

  • Research data publication is not yet standard practice across many scientific disciplines.
  • Limited acceptance of data as a scientific output and inadequate data storage infrastructure hinder independent data publication and citation.
  • Challenges in data citation impact the accessibility and acknowledgement of valuable research findings.

Purpose of the Study:

  • To address the difficulties in publishing and citing research data.
  • To establish a global consortium for improving data citation practices.
  • To promote the acceptance and archiving of research data.

Main Methods:

  • Establishment of the DataCite consortium in 2009.
  • Implementation of Digital Object Identifiers (DOI) for research data.
  • Facilitating easy access, re-use, and citation of data.

Main Results:

  • DataCite successfully addressed challenges in data citation.
  • Digital Object Identifiers (DOI) provide a standardized method for accessing and citing research data.
  • Increased availability and acknowledgement of research data through improved citation practices.

Conclusions:

  • The adoption of Digital Object Identifiers (DOI) significantly enhances research data accessibility and re-use.
  • DataCite's initiatives have increased the acceptance and visibility of data as a crucial scientific output.
  • Promoting data citation is essential for robust scientific archiving and scholarly communication.