output
20122023
most citedBest Practices for Scientific Computing

754 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

7 papers

cs.SE2023★ 2 cited

Research Software Engineering in 2030

Daniel S. Katz, Simon Hettrick

This position paper for an invited talk on the "Future of eScience" discusses the Research Software Engineering Movement and where it might be in 2030. Because of the authors' expe…

cs.SE2021★ 5 cited

Understanding Equity, Diversity and Inclusion Challenges Within the Research Software Community

Neil P. Chue Hong, Jeremy Cohen, Caroline Jay

Research software -- specialist software used to support or undertake research -- is of huge importance to researchers. It contributes to significant advances in the wider world an…

cs.SE2021★ 6 cited

Addressing Research Software Sustainability via Institutes

Daniel S. Katz, Jeffrey C. Carver, Neil P. Chue Hong +5

Research software is essential to modern research, but it requires ongoing human effort to sustain: to continually adapt to changes in dependencies, to fix bugs, and to add new fea…

cs.CY2018★ 48 cited

Community Organizations: Changing the Culture in Which Research Software Is Developed and Sustained

Daniel S. Katz, Lois Curfman McInnes, David E. Bernholdt +10

Software is the key crosscutting technology that enables advances in mathematics, computer science, and domain-specific science and engineering to achieve robust simulations and an…

cs.SE2017★ 10 cited

Report on the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4)

Daniel S. Katz, Kyle E. Niemeyer, Sandra Gesing +13

This report records and discusses the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4). The report includes a description of the keynote pres…

cs.DC2013★ 1 cited

Simplifying the Development, Use and Sustainability of HPC Software

Jeremy Cohen, Chris Cantwell, Neil Chue Hong +5

Developing software to undertake complex, compute-intensive scientific processes requires a challenging combination of both specialist domain knowledge and software development ski…

cs.MS2012★ 754 cited

Best Practices for Scientific Computing

Greg Wilson, D. A. Aruliah, C. Titus Brown +10

Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of to…