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title persons topics params
Data + Code + Software = PDF How to write a reproducible research article
adina-wagner
research-data-management
provenance
graphRootNodePID pid doi date title description kind author topic
xyzrins:publications/56d2708c-f5a4-42e8-b25b-bac91f0e1a95 xyzrins:publications/56d2708c-f5a4-42e8-b25b-bac91f0e1a95 10.5281/zenodo.5508796 2021-09-15 Data + Code + Software = PDF How to write a reproducible research article The talk "Data + Code + Software = PDF: How to write a reproducible research article", presented at the NL-RSE Meetup on "Reproducible Research Environments", Sep. 15th 2021. Science is an incremental process that produces and builds up on more than just published journal articles - nevertheless, journals only rarely accept or publish formats other than text documents or PDFs. An alternative to a classic PDF is a reproducible research article, an electronic document that is automatically generated from your projects code, data, and software, and embeds results and figures into the manuscript text as they are computed. With this, reproducible research articles combine adherence to publishers requirements with uncompromising reproducibility, increased reusability, and efficiency. This talk will be a demonstration of one of many ways to writing an automatically reproducible research article and making it publicly available. It will walk through a traditionally published paper, and reveal the openly available reproducible research article behind it. Beyond this, it will introduce a generic framework to link and share all building blocks of a project, including code, data of any size, software, and the final manuscript. fabio:Presentation
pid given_name family_name
xyzrins:persons/adina-wagner Adina Wagner
pid display_label
xyzrins:topics/research-data-management Research data management (RDM)
pid display_label
xyzrins:topics/provenance Provenance