Scholarly Communication has evolved significantly in recent years, with an increasing focus on Open Research, data sharing and community-developed open source methods. The concepts of authorship and citation are changing, as researchers are increasingly reusing and evolving common software tools and datasets. Yet with a growing amount of cloud compute power and open platforms available, reproducibility of computational analyses becomes more challenging, and often overlooked in peer review. While recent advances in scientific workflows and provenance capture systems have improved on this situation, a question remains on how to publish, archive and explore digital research outputs, as academic authors and publishers remain focused on PDFs and the occasional CSV file, with the Web and Open Research often left to “best effort” rather than being the expected norm.
To this mean the community initiative Research Object (RO) have been proposed as a way to package and describe research outputs, data, methods, workflows, provenance and structured metadata, reusing existing Web standards and formats.
This Zenodo community welcomes submissions of preprints, Open Access articles and any FAIR Research Data packing formats (e.g. Research Objects, BagIt, COMBINE archive), covering topics including, but not limited to:
Research Object publication, archiving and curation
Research Object creation and manipulation
Research Object exploration and visualization
Research Object evolution, derivation and provenance
Handling Big Data in Research Objects
Data Archive packaging and formats
Rich metadata of research data and software
Alignments with community efforts
Citation and attribution of research data and software
Annotation and peer review of research data
Distributed data publication (blockchain, nanopublication)
Driving adoption within current scholarly communications ecosystem
Research Object model domain extensions
Research Object granular access control approaches
Research Object social impact metrics
Self-contained executable Research Objects (i.e., including execution environment description)
Submissions must use an open license, if you are not sure use Creative Commons Attribution 4.0 (for text, figures, data, metadata) or Apache License 2.0 (for software, workflows, scripts).