Work

Research Workflows - Towards reproducible science via detailed provenance tracking in Open Science Chain

Year: 2020

Type: conference-paper

Abstract: Scientific research has always struggled with problems related to reproducibility caused in part by low data sharing rates and lack of provenance. Credibility of the research hypothesis comes into question when results cannot be replicated. While the growing amount of data and widespread use of computational code in research has been pushing scientific breakthroughs, their references in scientific publications is insufficient from a reproducibility perspective.

Source: Practice and Experience in Advanced Research Computing

DOI: 10.1145/3311790.3399619

Authors: Viswanath Nandigam, Kai Lin, Manu Shantharam, Scott Sakai, Subhashini Sivagnanam

Institution: University of California San Diego

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: National Science Foundation, Innovative Research Group Project of the National Natural Science Foundation of China

Awards: CICI: RDP: Open Science Chain (OSC) - A Novel Distributed Ledger-Based Framework for Protecting Integrity and Provenance of Research Data, G428293463