Journal of Statistical Software

Business Profile

Core Value Proposition

The Journal of Statistical Software provides open-access articles on statistical software, published with the corresponding source code and replication code to support full reproducibility.

Target Customer

{"Practitioners in statistics and data science","Statistics educators/teachers","Researchers in empirical statistics","Software developers and programmers in statistical computing"}

Key Differentiator

Open-source software and articles are published together with full reproducibility; source code and replication materials accompany each article; articles describe software implementations across multiple languages; content is freely accessible under open licenses; publications use CCAL with GPL-licensed code where applicable.

Implementation Timeline

Content is published and made publicly accessible as part of the journal’s regular publication cycle; organizational transitions (e.g., to new editorial systems) are announced and managed publicly to address issues and improvements.

Pain Points

1Software and articles, once published, cannot be updated within JSS
2JSS is not a general software distribution repository for ongoing updates
3Editorial workflow has undergone transitions (e.g., move to a new editorial system) and periodic maintenance, which can affect submission/processing timelines

Key Features

1Open-access articles available online under open licenses
2Source code of software and replication code published with articles
3Full reproducibility is mandatory for publication
4Code can be written in multiple languages (R, Python, Julia, MATLAB, SAS, Stata, Fortran, C, C++, Java, etc.)
5Book reviews and software reviews; special issues and code snippets
6Submissions must include tools to run the code; Octave compatibility encouraged for MATLAB-related work
7DOIs provided for publications (as of 2015 and beyond)

Target Customer Industries

Decision Makers

1Editor-in-chief
2Replication Editor
3Technical Editor
4Assistant Editor
5Editorial Team Member

Client Results

1Open access to articles and underlying software
2Reproducible research through published replication materials
3Publications with DOIs and cross-compatibility across multiple languages
4Longstanding academic publication with open licenses since 1996

Competitive Advantages

1No author fees or subscription fees for JSS (open-access model)
2Open licenses (CC Attribution) for articles; GPL or GPL-compatible licenses for code
3Source code and replication materials accompany each article for transparency
4Multi-language support for software and broad applicability across statistical computing
5Renowned, long-running journal with active editorial and support infrastructure

Key Benefits

1Open access to content and code

2Mandated full reproducibility with replication materials

3Multi-language support for software implementations

4No author or subscription fees for readers/authors (supported by foundation)

5DOIs for publications and long-standing scholarly journal presence

Additional Product Information

Product Description

A scholarly journal publishing open-source statistical software articles with accompanying source code and replication materials, freely accessible under open licenses.

Target Market

Researchers, educators, and practitioners in statistics and statistical computing who seek open, reproducible software and associated scholarly articles

Unique Value Proposition

JSS uniquely combines open-access publication with full reproducibility by pairing articles with their open-source software and replication materials, across multiple programming languages, under permissive licenses.

Technical Requirements

Code can be in languages including R, Python, Julia, MATLAB, SAS, Stata, Fortran, C, C++, Java, and more; authors should provide tools to run the code; Octave compatibility encouraged for MATLAB-related work

Pricing Model

No author fees or subscription fees; supported by foundations and institutional support

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