What does reproducible mean in research?

Reproducibility and replicability are commonly used terms in the scientific community. Reproducibility is defined as obtaining consistent results using the same data and code as the original study (synonymous with computational reproducibility).

What makes research reproducible?

Computational scientists generally use the term reproducibility to answer just the first question—that is, reproducible research is research that is capable of being checked because the data, code, and methods of analysis are available to other researchers.

What does it mean to do academic research?

Academic Research is defined as a “Systematic investigation into a problem or situation, where the intention is to identify facts and/or opinions that will assist in solving the problem or dealing with the situation”.

What does replicating a study mean?

Replication is a term referring to the repetition of a research study, generally with different situations and different subjects, to determine if the basic findings of the original study can be applied to other participants and circumstances.

What is the difference between replication and reproducibility?

Replicability is “re-performing the experiment and collecting new data,” whereas reproducibility is “re-performing the same analysis with the same code using a different analyst” (Patil et al., 2016). Therefore, one can replicate a study or an effect (outcome of a study) but reproduce results (data analyses).

Why we need to make research or study reproducible?

By ensuring research is reproducible it demands the raw data be made available and helps others make full analyses, which are not biased by previous ones. Reproducibility allows for the important part of data analysis not to be missed.

What are the types of an academic research?

General Types of Educational Research

• Descriptive — survey, historical, content analysis, qualitative (ethnographic, narrative, phenomenological, grounded theory, and case study)
• Associational — correlational, causal-comparative.
• Intervention — experimental, quasi-experimental, action research (sort of)

What is the role of academic researcher?

As an academic researcher you’ll apply your expertise and skills developed through study and research. You’ll aim to publish papers on your work in peer-reviewed, well-respected journals and will write reports, books or chapters of books on your specialist area of knowledge.

Why is replication in research so important?

It is very important that research can be replicated, because it means that other researchers can test the findings of the research. Replicability keeps researchers honest and can give readers confidence in research. If the research is replicable, then any false conclusions can eventually be shown to be wrong.

What does a researcher do when he replicates a study in writing a topic for research?

Replicate: Conduct the study again with different samples or in different settings to see if you get the same results.

How can you make results more reproducible?

make your lab research more reproducible

1. Automate data analysis.
2. After automating data analysis, publish all code (public access)
3. Publish all data (public access)
4. Standardize and document experimental protocols.
5. Track samples and reagents.
6. Disclose negative or convoluted results.
7. Increase transparency of data and statistics.

What is reproducible research and why is it important?

What is Reproducible Research? Research is considered to be reproducible when the exact results can be reproduced if given access to the original data, software, or code. Reproducible research is sometimes known as reproducibility, reproducible statistical analysis, reproducible data analysis, reproducible reporting, and literate programming.

What does reproducibility mean to you?

Different disciplines can have different understandings of these terms too. In computational disciplines, for example, reproducibility often refers to the ability to reproduce computations alone, that is, it relates exclusively to sharing and sufficiently annotating data and code (e.g., Peng 2011, 2015).

Can a study be replicable?

A study may be replicable in the former sense but not in the second sense: one might be able to replicate the methods, procedures and analysis of a study, but fail to successfully replicate the results of the original study.

How much of Science is not reproducible?

It is hard to quantify the extent of non-reproducibility or how much of science is reproducible. And while reproducibility and replicability are important for research, they are not the be-all and end-all, the committee emphasized.