Work

Reproducible Research in Computational Harmonic Analysis

Year: 2008

Type: article

Abstract: Scientific computation is emerging as absolutely central to the scientific method. Unfortunately, it's error-prone and currently immature—traditional scientific publication is incapable of finding and rooting out errors in scientific computation—which must be recognized as a crisis. An important recent development and a necessary response to the crisis is reproducible computational research in which researchers publish the article along with the full computational environment that produces the results. The authors have practiced reproducible computational research for 15 years and have integrated it with their scientific research and with doctoral and postdoctoral education. In this article, they review their approach and how it has evolved over time, discussing the arguments for and against working reproducibly.

Source: Computing in Science & Engineering

DOI: 10.1109/mcse.2009.15

Authors: David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden

Institutions: Stanford University, Apple (United States), Harvard University

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: National Science Foundation

OpenAlex ID: W2030620341

FWCI: 24.02

Cites: 15

Cited by: 274

Related to: 10