Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Project deliverable . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Project deliverable . 2018
License: CC BY
Data sources: Datacite
versions View all 4 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

D7.2 Phenotypic Data Exposed Through Integrating Api By All Participants

Authors: Miguel, Célia; Pommier, Cyril; Finkers, Richard; Coppens, Frederik; Bolser, Dan;

D7.2 Phenotypic Data Exposed Through Integrating Api By All Participants

Abstract

High-throughput “omics” technologies are widely used and increasingly important to support plant biology research and breeding of diverse plant species for production of food, feed, fibre and other biomaterials, and bio-energy. Significant advances in plant science can be obtained from the integration of available genomic and genotyping data with diverse types of phenotyping data, including field or greenhouse experimental data, molecular, -omics and image data. Although most -omics data, and especially phenomic data, are being generated in increasing scale, either from public or private research institutes, the dispersion of datasets and metadata among multiple repositories and their often poor description and annotation, make their use and exploitation still challenging or even unapproachable. To help unlocking the full potential of a multi-omics approach to plant science, the overarching goal of this workpackage is to make plant data interoperable in accordance with the FAIR principles (i.e. Findable, Accessible, Interoperable and Re-usable). Hence, several standards have been built these past years for the annotation of data sets, and the Elixir plant community is coautoring most of them. Their use has been demonstrated by exemplary application to data from diverse species published in public repositories. Building from this previous work (Deliverable 7.1) we have now implemented anarchitecture for supporting access to distributed datasets annotated according to the developed standards. This architecture uses the Breeding API (BrAPI, www.brapi.org ), an API for accessing data relevant for plant breeding developed by the international plant community. We have implemented 7 API endpoints over datasets held at the several ELIXIR nodes participating in the Plants Use Case, thereby publicly exposing these datasets and making them accessible and contributing for their interoperability and re-use. We further contributed to the evolution of BrAPI specification by working on the alignment with the MIAPPE ( www.miappe.org ) standard for plant phenotypic data, based on the experience with our exemplar data sets, and the needs of the Use Case. This work represents an important intermediate step towards the full implementation of an ELIXIR Plant Data Lookup Service currently under development.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 8
    download downloads 6
  • 8
    views
    6
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
8
6
Green