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
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
Bias01:22

Bias

6.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
6.2K
Introduction to Documentation and Reporting01:20

Introduction to Documentation and Reporting

3.3K
Documentation is the systematic process of formally recording, maintaining, and communicating information.
Nursing documentation records essential information and details regarding a patient's care and treatment in written or electronic form. It is a critical aspect of nursing practice that involves documenting assessments, interventions, outcomes, and other relevant details about a patient's health status.
Documentation maps the patient's health journey by creating a comprehensive...
3.3K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.6K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.6K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

627
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
627

You might also read

Related Articles

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

Sort by
Same author

Ten simple rules for funding scientific open source software.

PLoS computational biology·2022
Same author

Estimated effects of implementing an open access policy for grantees at a private foundation.

PeerJ·2017
Same author

Researcher perspectives on publication and peer review of data.

PloS one·2015
Same author

DataUp: A tool to help researchers describe and share tabular data.

F1000Research·2015
Same author

Recommendations for the role of publishers in access to data.

PLoS biology·2014
Same author

Microtubule depolymerization in Caenorhabditis elegans touch receptor neurons reduces gene expression through a p38 MAPK pathway.

Proceedings of the National Academy of Sciences of the United States of America·2011
Same journal

Cyber Military Operations under International Humanitarian Law: Interpreting the Concept of "Attack" and Challenges in Protecting Civilians.

F1000Research·2026
Same journal

Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model.

F1000Research·2026
Same journal

Emotional intelligence: An important skill to learn now more than ever.

F1000Research·2026
Same journal

East Mediterranean Lineage of <i>Brucella melitensis</i> in Human Isolates and Milk Samples in Oman Using MLVA-14.

F1000Research·2026
Same journal

Application of K-Means Clustering for Job Applicant Analysis in Construction Firms Using R.

F1000Research·2026
Same journal

The influence of self-esteem and emotional intelligence on addiction to social networks in Peruvian university students.

F1000Research·2026
See all related articles

Related Experiment Video

Updated: Apr 26, 2026

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

Data publication consensus and controversies.

John Kratz1, Carly Strasser1

  • 1California Digital Library, University of California Office of the President, Oakland, CA, 94612, USA.

F1000Research
|December 3, 2014
PubMed
Summary
This summary is machine-generated.

Scholarly datasets are increasingly recognized as vital research products. Ongoing discussions address data publication formats, peer review, and citation standards to advance data sharing.

More Related Videos

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

5.3K
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

Related Experiment Videos

Last Updated: Apr 26, 2026

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
An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

5.3K
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

Area of Science:

  • Data Science
  • Scholarly Publishing
  • Research Data Management

Background:

  • The scholarly community is increasingly recognizing datasets as first-class research products, necessitating their validation, preservation, citation, and crediting.
  • The proliferation of data publication venues has accelerated the movement towards integrating datasets into the scholarly record, but significant debates persist regarding formats, processes, and terminology.

Purpose of the Study:

  • To provide an overview of current data publication initiatives and ongoing discussions within the scientific community.
  • To highlight areas of consensus and identify key issues that remain in contention regarding data publication standards and practices.

Main Methods:

  • Review of current data publication initiatives and their implementations.
  • Analysis of the ongoing discourse surrounding data formats, validation, documentation, and peer review processes.
  • Identification of common terminology and points of divergence in data publication practices.

Main Results:

  • Data publication implementations vary significantly in documentation, data validation, and presentation methods (e.g., supplemental material, data papers, independent publication).
  • The term "published" data implies public availability and citable status but does not consistently guarantee peer review.
  • Defining "data peer review" remains a challenge, with diverse standards and novel variations emerging.
  • While basic data citation is agreed upon, complexities arise with dynamic datasets or those integrated into larger data sets.

Conclusions:

  • There is a growing consensus on the importance of data publication, but standardization of formats, terminology, and peer review processes is still needed.
  • Addressing the nuances of data citation for dynamic or complex datasets is crucial for accurate crediting and reproducibility.
  • The scientific community is exploring advanced concepts like "data as software" to tackle persistent challenges in data publication and management.