@inproceedings{5b7656d3a23d4345a06d803bdb28994b,
title = "Using the HTRC data capsule model to promote reuse and evolution of experimental analysis of digital library data: A case study of topic modeling",
abstract = "We report on a case-study to independently reproduce the work given in a publicly available blog on how to develop a topic model sourced from a collection of texts, where both the data set and source code used are readily available. More specifically, we detail the steps necessary-and the challenges that had to be overcome-to replicate the work using the HathiTrust Research Center's virtual machine Data Capsule platform. From this we make recommendations for authors to follow, based on the lessons learned. We also show that the Data Capsule model can be put to work in a way that is of benefit to those interested in supporting computational reproducibility within their organizations.",
keywords = "Digital-Libraries, Experimental-Reproducibility, Virtual-Machine",
author = "David Bainbridge and Nichols, {David M.} and Annika Hinze and Downie, {J. Stephen}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
year = "2019",
month = jun,
doi = "10.1109/JCDL.2019.00124",
language = "English (US)",
series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "463--464",
editor = "Maria Bonn and Dan Wu and Downie, {Stephen J.} and Alain Martaus",
booktitle = "Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019",
address = "United States",
}