A FAIRification roadmap for ELIXIR Software Management Plans

Academic research requires careful handling of data plus any means to collect, transform and publish it, activities commonly supported by software (from scripts end-user applications). Data Management Plans (DMPs) are nowadays requested funders as part good practices. A DMP describes the management lifecycle for corresponding a project, covering from collection publication preservation. To support improve transparency, open science, reproducibility (and other *ilities), needs be accompanied transforming it. Similar DMPs, Software (SMPs) can help formalize set structures goals ensuring that is accessible reusable in short, medium long term. DMPs SMPs presented text-based documents, guided questions key points related either or software. step forward machine-actionable (maDMPs) proposed Research Alliance Common Standards Working Group. maDMP corresponds structured representation most common elements present (Miksa et al. 2020b), overcoming some obstacles linked representation. Such makes it easier become readable both humans machines alike. The Standard ontology (DCSO) (Cardoso 2022) further supports maDMPs extend original application profile cover additional to, instance, specific requirements funders. combined with notion Object Crates (RO-Crate) automate ease 2020a). An RO-Crate (Soiland-Reyes an open, community-driven, lightweight approach based on schema.org (Guha 2016) annotations JSON-LD package (or digital object) together its metadata machine-readable manner. ELIXIR SMP has been developed Development Best Practices Group Tools Platform researchers life sciences (Alves 2021). aims at making follow practices aligned findable, accessible, interoperable principles (FAIR4RS) (Chue Hong while dealing Its primary goal encouraging wider adoption science researchers, being inclusive possible various levels technical expertise. Here we roadmap FAIR object (FDO) (Schultes Wittenburg 2019) extension DCSO use RO-Crates. FDOs have way objects their metadata, types, identifiers operations, so they more auto-contained. current version includes seven sections: accessibility licensing, documentation, testing, interoperability, versioning, reproducibility, recognition. Each section guiding supporting aspects relevant own case. lower barrier make Yes/No few offering options. In cases, URL also requested, instance regarding location documentation end-users. Our move questionnaire FDO comprises four main steps: creating maSMP profile, extending DCSO, mapping schema.org, using will include semantic comes SMP. We add granularity root (dcso:DMP), proposing term addition, propose ResearchSoftware dcso:Dataset. Terminology such “Objective'' considered. objective Why software, which crucial comprehensibility. DatasetObjective reason creation dataset. Source-codeRepository Source-codeTesting candidates extension. new classes properties necessary mentioned profile. As targets community, analyze need links ontologies describing activities, types this domain. One important aspect schema.org. Schema.org popular choice lightway semantics web pages but used provide all sorts objects. sciences, Bioschemas (Gray 2017) offers guidelines how profiles, including minimum, recommended optional properties, agreed adopted ComputationalTool provides describe tools applications. promotes resources Life Sciences development Markup Scraper Extractor (BMUSE) harvesting 2022). final RO-Crates link to/from do so, create capturing needed It versioned living crate evolves time, particularly when releases published. Thanks bundling nature, where packed enriched example critical information about tool bound unit shared peers via registries repositories.