DataScope: Interactive visual exploratory dashboards for large multidimensional data
Department of Biomedical Informatics, Emory University, Atlanta, Georgia, United States
- Published
- Accepted
- Subject Areas
- Bioinformatics, Human-Computer Interaction, Visual Analytics
- Keywords
- Information visualization, Interactive data exploration, Data exploration
- Copyright
- © 2018 Iyer et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. DataScope: Interactive visual exploratory dashboards for large multidimensional data. PeerJ Preprints 6:e26441v1 https://doi.org/10.7287/peerj.preprints.26441v1
Abstract
DataScope is a web-based tool for generating interactive visual dashboards on large scale multidimensional datasets. Users can use these dashboards to explore data and create cohorts for downstream analysis. We describe DataScope's architecture, design considerations and provide an overview of its system design. We highlight some of DataScope's features that were useful in the case studies using datasets from cancer registries and co-clinical trials. In benchmarks DataScope is able to perform sub-second queries on data sizes ranging from thousand to million records.
Author Comment
Part of VAHC 2017 proceedings.