SEJul 4, 2018

Mapping the research software sustainability space

arXiv:1807.01772v28 citations
AI Analysis

This work addresses the need for better coordination and planning in research software sustainability efforts, but it is incremental as it builds on an existing schematic.

The paper tackled the problem of uncoordinated initiatives in research software sustainability by proposing to enhance an existing schematic and formalize it into a directed graph model, which can be used to classify research results and guide future efforts.

A growing number of largely uncoordinated initiatives focus on research software sustainability. A comprehensive mapping of the research software sustainability space can help identify gaps in their efforts, track results, and avoid duplication of work. To this end, this paper suggests enhancing an existing schematic of activities in research software sustainability, and formalizing it in a directed graph model. Such a model can be further used to define a classification schema which, applied to research results in the field, can drive the identification of past activities and the planning of future efforts.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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