Related Experiment Video
Updated: Apr 16, 2026

04:50
Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
Published on: August 4, 2023
1.8K
Erratum to: Should We be More "Open" About Publishing Research?
1Rotunda - The Center For Human Reproduction, Bandra, Mumbai, India.
Journal of Obstetrics and Gynaecology of India
|March 5, 2015
Summary
This study corrects a previous article's DOI. The updated DOI ensures accurate citation and retrieval of the research findings.
Area of Science:
- Bibliometrics
- Scientific Publishing
Context:
- Correction of article metadata is crucial for academic integrity.
- Accurate Digital Object Identifiers (DOIs) ensure proper citation and access to research.
Purpose:
- To provide the correct Digital Object Identifier (DOI) for a previously published article.
- To rectify an error in the article's metadata for improved discoverability.
Summary:
- The article DOI 10.1007/s13224-014-0624-2 has been corrected.
- This correction ensures that readers can accurately locate and cite the research.
Impact:
- Enhances the reliability of academic records.
- Facilitates seamless access to scientific literature.
- Supports accurate citation tracking and scholarly communication.
Related Concept Videos
Ethics in Research
26.3K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
26.3K
Bias
8.1K
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...
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...
8.1K
Feedback Inhibition
59.0K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
59.0K
Archival Research
17.6K
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...
17.6K
The Scientific Method
275.8K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
275.8K
Accuracy and Errors in Hypothesis Testing
709
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
709

