Project deliverable Open Access

EMPHASIS-PREP Deliverable D4.5: Data policy rules

Tardieu, Francois; Neveu, Pascal; Pommier, Cyril; Usadel, Björn


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.5164187</identifier>
  <creators>
    <creator>
      <creatorName>Tardieu, Francois</creatorName>
      <givenName>Francois</givenName>
      <familyName>Tardieu</familyName>
      <affiliation>INRAE</affiliation>
    </creator>
    <creator>
      <creatorName>Neveu, Pascal</creatorName>
      <givenName>Pascal</givenName>
      <familyName>Neveu</familyName>
      <affiliation>INRAE</affiliation>
    </creator>
    <creator>
      <creatorName>Pommier, Cyril</creatorName>
      <givenName>Cyril</givenName>
      <familyName>Pommier</familyName>
      <affiliation>INRAE</affiliation>
    </creator>
    <creator>
      <creatorName>Usadel, Björn</creatorName>
      <givenName>Björn</givenName>
      <familyName>Usadel</familyName>
      <affiliation>Forschungszentrum Jülich</affiliation>
    </creator>
  </creators>
  <titles>
    <title>EMPHASIS-PREP Deliverable D4.5: Data policy rules</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>plant phenotyping, data management, research infrastructure, data policy</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-06-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5164187</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5164186</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Executive Summary&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This document presents the plan for managing the datasets generated and processed during and after experiments carried out in the EMPHASIS infrastructure. The main objective is that datasets are findable, accessible, interoperable and reusable (FAIR standard), in such a way that the datasets can be analysed by several groups inside and outside of the EMPHASIS consortium. The data management plan presents the different data categories, data sources and how data are collected, structured, stored and made accessible for the purpose of analysis and reuse. It presents unambiguous identification of all objects involved in experiments, the rules for variable naming and data storage, together with standards for data identification, file formats, and workflows. The document also presents the ownership of the different categories of data collected in experiments, with the rationale of optimizing analyses by involved groups (users and providers), and by other groups of the scientific community.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/739514/">739514</awardNumber>
      <awardTitle>Preparation for EMPHASIS: European Infrastructure for multi-scale Plant Phenomics and Simulation for food security in a changing climate</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
21
10
views
downloads
All versions This version
Views 2121
Downloads 1010
Data volume 2.6 MB2.6 MB
Unique views 1919
Unique downloads 99

Share

Cite as