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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...
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ActivePapers: a platform for publishing and archiving computer-aided research.

Konrad Hinsen1

  • 1Centre de Biophysique Moléculaire (UPR4301 CNRS), Rue Charles Sadron, Orléans, 45071, France ; Synchrotron SOLEIL, Division Expériences, St Aubin, Gif sur Yvette, 91192, France.

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Summary
This summary is machine-generated.

Improving scientific reproducibility is crucial. The ActivePapers project developed a computational platform for installation-free deployment and reuse of research, achievable with current technology but challenging for legacy software.

Keywords:
Computational models, publishing, software tools, scientific record

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Area of Science:

  • Computational Science
  • Scientific Publishing
  • Research Reproducibility

Background:

  • Replicability and reproducibility issues in computational studies lead to significant errors in scientific findings.
  • Recent discoveries have highlighted these problems in published research.
  • Various strategies are being explored to enhance the reliability of scientific studies.

Purpose of the Study:

  • To report initial findings from the ActivePapers project.
  • To introduce a computational platform designed to improve the publication of computational research.
  • To enable installation-free deployment, encourage reuse, and integrate datasets and software into the scientific record.

Main Methods:

  • Development and application of a novel computational platform.
  • Focus on enabling seamless deployment and reuse of computational research artifacts.
  • Integration of datasets and software directly within the scientific record.

Main Results:

  • The developed platform can achieve the goals of installation-free deployment, reuse, and integration using existing technologies.
  • Successfully demonstrated the feasibility of publishing computational research in a more robust format.
  • Identified challenges in adapting pre-existing software to the new framework.

Conclusions:

  • The ActivePapers project demonstrates that enhanced reproducibility in computational science is attainable with current technological capabilities.
  • While the platform facilitates reuse and integration, adapting legacy computational tools presents a significant hurdle.
  • Future work should focus on strategies to bridge the gap for existing software to maximize the platform's impact.