Abstract
This paper examines the potential for comparisons of digital science data curation lifecycles to software lifecycle development to provide insight into promoting sustainable science software. The goal of this paper is to start a dialog examining the commonalities, connections, and potential complementarities between the data lifecycle and the software lifecycle in support of sustainable software. We argue, based on this initial survey, delving more deeply into the connections between data lifecycle approaches and software development lifecycles will enhance both in support of science.
Highlights
Software, ranging from spreadsheets with formulas to very large and complex numerical models that simulate the earth system, is used throughout most phases of science from experiments to analyses
We suggest that there are four initial intersection points that warrant additional investigation: metadata, preservation management, data flows into and out of science software, and standards
We argue that delving into this lifecycle comparison in greater detail will yield interesting insights to promote sustainable software
Summary
Software, ranging from spreadsheets with formulas to very large and complex numerical models that simulate the earth system, is used throughout most phases of science from experiments to analyses. We suggest that there are four initial intersection points that warrant additional investigation: metadata, preservation management, data flows into and out of science software, and standards. Lenhardt et al: Data Management Lifecycle and Software Lifecycle Management in the Context of Conducting Science
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
