Work

Evaluating Tools for Enhancing Reproducibility in Computational Scientific Experiments

Year: 2024

Type: conference-paper

Abstract: Ensuring the reproducibility of computational scientific experiments is crucial for advancing research and fostering scientific integrity. However, achieving reproducibility poses significant challenges, particularly in the absence of appropriate software tools to help. This paper addresses this issue by comparing existing tools designed to assist researchers across various fields in achieving reproducibility in their work.

Source: ACM Conference on Reproducibility and Replicability (ACM REP)

DOI: 10.1145/3641525.3663623

Authors: Lázaro Costa, Susana Barbosa, Jácome Cunha

Institutions: Universidade do Porto, INESC TEC

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Funder: Fundação para a Ciência e a Tecnologia

Awards: G4046065984, INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC), G6560966372, G6997658380, ClimateCollab: A collaborative graph for reproducible evidence of climate change