Presentation Open Access

Structuring experimental data: rethinking data acquisitions to enable replications.

Vittorio Iacovella


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Reproducibility and replicability shape up research routines, starting from data acquisition. Building structured, machine readable data collections is a way to make your research reproducible and foster replication</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "The University of Trento, ITRN", 
      "@id": "https://orcid.org/0000-0002-0853-1573", 
      "@type": "Person", 
      "name": "Vittorio Iacovella"
    }
  ], 
  "url": "https://zenodo.org/record/7594429", 
  "datePublished": "2023-02-01", 
  "keywords": [
    "openscience, opendata, bids, FAIR, FAIRprinciples, Replication, Reproducibility"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.7594429", 
  "@id": "https://doi.org/10.5281/zenodo.7594429", 
  "@type": "PresentationDigitalDocument", 
  "name": "Structuring experimental data: rethinking data acquisitions to enable replications."
}
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