Sciunits: Reusable Research Objects
Title | Sciunits: Reusable Research Objects |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | That, D. H. T., Fils, G., Yuan, Z., Malik, T. |
Conference Name | 2017 IEEE 13th International Conference on e-Science (e-Science) |
Keywords | composability, compositionality, Containers, Human Behavior, human factors, metadata, Metrics, Monitoring, Predictive models, Provenance, pubcrawl, reproducibility, Resiliency, sciunit, Servers, Software, Tools |
Abstract | Science is conducted collaboratively, often requiring knowledge sharing about computational experiments. When experiments include only datasets, they can be shared using Uniform Resource Identifiers (URIs) or Digital Object Identifiers (DOIs). An experiment, however, seldom includes only datasets, but more often includes software, its past execution, provenance, and associated documentation. The Research Object has recently emerged as a comprehensive and systematic method for aggregation and identification of diverse elements of computational experiments. While a necessary method, mere aggregation is not sufficient for the sharing of computational experiments. Other users must be able to easily recompute on these shared research objects. In this paper, we present the sciunit, a reusable research object in which aggregated content is recomputable. We describe a Git-like client that efficiently creates, stores, and repeats sciunits. We show through analysis that sciunits repeat computational experiments with minimal storage and processing overhead. Finally, we provide an overview of sharing and reproducible cyberinfrastructure based on sciunits gaining adoption in the domain of geosciences. |
URL | http://ieeexplore.ieee.org/document/8109156/ |
DOI | 10.1109/eScience.2017.51 |
Citation Key | that_sciunits:_2017 |