• Corpus ID: 211505813

A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility

@article{Tierney2020ARG,
  title={A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility},
  author={Nicholas J. Tierney and Karthik Ram},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.11626}
}
Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results. However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists' advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical… 

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References

SHOWING 1-10 OF 42 REFERENCES
How to Share Data for Collaboration
TLDR
The need to provide raw data to the statistician, the importance of consistent formatting, and the necessity of including all essential experimental information and pre-processing steps carried out to the statisticsian are highlighted.
Git can facilitate greater reproducibility and increased transparency in science
  • Karthik Ram
  • Computer Science
    Source Code for Biology and Medicine
  • 2013
TLDR
An overview of Git is provided along with use-cases that highlight how this tool can be leveraged to make science more reproducible and transparent, foster new collaborations, and support novel uses.
The FAIR Guiding Principles for scientific data management and stewardship
TLDR
This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
An empirical analysis of journal policy effectiveness for computational reproducibility
TLDR
This work evaluates the effectiveness of journal policy that requires the data and code necessary for reproducibility be made available postpublication by the authors upon request and finds it to be an improvement over no policy, but currently insufficient for reproducecibility.
Supporting data sharing
TLDR
To serve paper publishing, for example, with its physical constraints of space and two-dimensional presentation, it has needed to produce data that can be analyzed in such a way that the results can be communicated in conventional tables, figures and graphs as well as natural language.
Sharing in Ecology and Evolution Nine simple ways to make it easier to ( re ) use your data
TLDR
Nine simple ways to make it easy to reuse the data that you share and also make it easier to work with it yourself to allow reuse and to help you to understand and use the data.
Frictionless Data: Making Research Data Quality Visible
TLDR
This paper will report on current progress toward Frictionless Data, a containerization format for data based on existing practices for publishing open source software, and a set of tools, specifications, and best practices for describing, publishing, and validating data.
Has open data arrived at the British Medical Journal (BMJ)? An observational study
TLDR
Despite the BMJ's strong data sharing policy, sharing rates are low and it might be time for a more effective datasharing policy and better incentives for health and medical researchers to share their data.
Statistical Analyses and Reproducible Research
TLDR
This article describes a software framework for both authoring and distributing integrated, dynamic documents that contain text, code, data, and any auxiliary content needed to recreate the computations in data analyses, methodological descriptions, simulations, and so on.
How open science helps researchers succeed
TLDR
There is evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices, including increases in citations, media attention, potential collaborators, job opportunities and funding opportunities.
...
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2
3
4
5
...