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1000
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Abstract/Summary
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Data-driven research requires handling data together with the software that is used to collect, transform, and create such data. Data Management Plans have emerged as a systematic way to record the data management lifecycle for data corresponding to a research project. Similar to DMPs, Software Management Plans (SMPs) follow the research software management lifecycle, becoming a complement of DMPs. Initially, both DMPs and SMPs were conceived as text-based documents, sometimes guided by a set of questions targeting key points related to the corresponding lifecycle. Machine-actionable DMPs improve text-based DMPs by adding a semantic layer representing the most common elements relevant to DMPs, from datasets to funders. Here, we use the ELIXIR SMP as a use-case and present a preliminary metadata schema including possible types and properties useful to represent machine-actionable SMPs.
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