Show simple item record  

dc.contributor.authorBainbridge, Daviden_NZ
dc.contributor.authorNichols, David M.en_NZ
dc.contributor.authorHinze, Annikaen_NZ
dc.contributor.authorDownie, J. Stephenen_NZ
dc.coverage.spatialChampaign, IL, USAen_NZ
dc.date.accessioned2019-09-10T02:47:12Z
dc.date.available2019en_NZ
dc.date.available2019-09-10T02:47:12Z
dc.date.issued2019en_NZ
dc.identifier.citationBainbridge, D., Nichols, D. M., Hinze, A., & Downie, J. S. (2019). Using the HTRC Data Capsule Model to promote reuse and evolution of experimental analysis of digital library data: a case study of topic modeling. In Proceedings of 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019) (pp. 463–464). Champaign, IL, USA: IEEE. https://doi.org/10.1109/jcdl.2019.00124en
dc.identifier.urihttps://hdl.handle.net/10289/12856
dc.description.abstractWe 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEEen_NZ
dc.rights© 2019 Copyright held by the author(s). Publication rights licensed to ACM.
dc.subjectcomputer scienceen_NZ
dc.subjectexperimental-reproducibilityen_NZ
dc.subjectvirtual-machineen_NZ
dc.subjectdigital-librariesen_NZ
dc.titleUsing the HTRC Data Capsule Model to promote reuse and evolution of experimental analysis of digital library data: a case study of topic modelingen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1109/jcdl.2019.00124en_NZ
dc.relation.isPartOfProceedings of 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019)en_NZ
pubs.begin-page463
pubs.elements-id240592
pubs.end-page464
pubs.finish-date2019-06-06en_NZ
pubs.publication-statusPublisheden_NZ
pubs.start-date2019-06-02en_NZ


Files in this item

This item appears in the following Collection(s)

Show simple item record