Building a sustainable structure for research software engineering activities

Jeremy Cohen, Daniel S. Katz, Michelle Barker, Robert Haines, Neil Chue Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The profile of research software engineering has been greatly enhanced by developments at institutions around the world to form groups and communities that can support effective, sustainable development of research software. We observe, however, that there is still a long way to go to build a clear understanding about what approaches provide the best support for research software developers in different contexts, and how such understanding can be used to suggest more formal structures, models or frameworks that can help to further support the growth of research software engineering. This short paper provides an overview of some preliminary thoughts and proposes an initial high-level framework based on discussions between the authors around the concept of a set of pillars representing key activities and processes that form the core structure of a successful research software engineering offering.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 14th International Conference on eScience, e-Science 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-32
Number of pages2
ISBN (Electronic)9781538691564
DOIs
StatePublished - Dec 24 2018
Event14th IEEE International Conference on eScience, e-Science 2018 - Amsterdam, Netherlands
Duration: Oct 29 2018Nov 1 2018

Publication series

NameProceedings - IEEE 14th International Conference on eScience, e-Science 2018

Conference

Conference14th IEEE International Conference on eScience, e-Science 2018
Country/TerritoryNetherlands
CityAmsterdam
Period10/29/1811/1/18

Keywords

  • Reproducible research
  • Research software
  • Research software engineering
  • Software sustainability

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Ecological Modeling
  • Modeling and Simulation

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