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Encouraging Reproducibility in Scientific Research of the Internet
V. Bajpai, O. Bonaventure, k. claffy, and D. Karrenberg, "Encouraging Reproducibility in Scientific Research of the Internet", Dagstuhl Reports, vol. 8, no. 10, pp. 41--62, Jan 2019.

Published in 2019, this report documents a paper presented at Dagstuhl Seminar 18412 in October 2018.

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Encouraging Reproducibility in Scientific Research of the Internet

Vaibhav Bajpai3
Olivier Bonaventure4
kc claffy1
Daniel Karrenberg2

CAIDA, San Diego Supercomputer Center, University of California San Diego


RIPE NCC, Amsterdam, The Netherlands


TU Munich


Université catholique de Louvain

Reproducibility of research in Computer Science (CS) and in the field of networking in particular is a well-recognized problem. For several reasons, including the sensitive and/or proprietary nature of some Internet measurements, the networking research community pays limited attention to the of reproducibility of results, instead tending to accept papers that appear plausible. This article summarises a 2.5 day long Dagstuhl seminar on Encouraging Reproducibility in Scientific Research of the Internet held in October 2018. The seminar discussed challenges to improving reproducibility of scientific Internet research, and developed a set of recommendations that we as a community can undertake to initiate a cultural change toward reproducibility of our work. It brought together people both from academia and industry to set expectations and formulate concrete recommendations for reproducible research. This iteration of the seminar was scoped to computer networking research, although the outcomes are likely relevant for a broader audience from multiple interdisciplinary fields.

Keywords: measurement methodology, overview
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