Collaborative scientific publishing : a new research ecosystem

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.

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2017

Author dc:creator

• Rich, Travis (Travis Sebastian)

Advisor dc:contributor.advisor

• Andrew Lippman.

• Program in Media Arts and Sciences ()

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/112531

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/112531