Collaborative scientific publishing : a new research ecosystem
Name
1012939966-MIT.pdf
Description
Full printable version
Size
15.71 MB
Format
Adobe PDF
Checksum (MD5)
fce7d3a7801d276979ba460cd9b1d6e3
Author(s)
Rich, Travis (Travis Sebastian)
Advisor(s)
Andrew Lippman.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
This thesis introduces PubPub, a complete publishing system that is consonant with the way software and research ideas are developed. It is author-driven, continuous, collaborative, and allows for data and code to be directly integrated into the document. PubPub is optimized for collaboration and iterative document creation; taking inspiration from the software development cycle it allows for more participatory forms of review. We hypothesize that by changing the scientific review process from one of static critique to one of interactive collaboration we can increase the error-detection rate of scientific review. We present an experiment to test this hypothesis by measuring error detection rates across several interactive and non-interactive documents. This work is motivated by a growing recognition that in many fields, notably those that rely on data analysis and computing, the existing review process is not sufficiently fair, accurate, or timely.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 101-108).
Subjects
Program in Media Arts and Sciences ()
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
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