Other Open Access
Ángela Justamante;
Ana Álvarez;
Sonia Liñán;
karen Soacha;
Jaume Piera
<?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.7657828</identifier> <creators> <creator> <creatorName>Ángela Justamante</creatorName> <affiliation>CREAF</affiliation> </creator> <creator> <creatorName>Ana Álvarez</creatorName> <affiliation>ICM-CSIC</affiliation> </creator> <creator> <creatorName>Sonia Liñán</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0431-4683</nameIdentifier> <affiliation>ICM-CSIC</affiliation> </creator> <creator> <creatorName>karen Soacha</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4287-1256</nameIdentifier> <affiliation>ICM-CSIC</affiliation> </creator> <creator> <creatorName>Jaume Piera</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5818-9836</nameIdentifier> <affiliation>ICM-CSIC</affiliation> </creator> </creators> <titles> <title>MECODA: an online tools repository to facilitate the analysis and viewing of all sorts of citizen science data</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2023</publicationYear> <subjects> <subject>visual analysis</subject> <subject>data analysis</subject> <subject>Orange Data Mining</subject> <subject>citizen science</subject> <subject>citizen observatories</subject> <subject>open data</subject> <subject>biodiversity</subject> <subject>environment</subject> </subjects> <dates> <date dateType="Issued">2023-02-20</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Other"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7657828</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.7657827</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/h2020-cos4cloud</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"><p>MECODA is a repository to facilitate&nbsp;analysing and viewing all sorts of citizen science data. This service aims to break the barrier between experienced users or programmers and the general public. It allows users from citizen observatories to make their own exploratory visual data analysis without the help of specialised analysts. It also enables observers to create their own reproducible visual dataflows and share and reuse them. It&nbsp;is based on&nbsp;Orange Data Mining, a visual programming toolbox made to simplify analysis and data visualization. Orange supports the construction of data analysis workflows by assembling components for data preprocessing, visualization, and modeling. MECODA has developed specific widgets to access data from citizen observatories.</p> <p><strong>More information:&nbsp;</strong><a href="https://cos4cloud-eosc.eu/services/mecoda-data-analysis-package/">https://cos4cloud-eosc.eu/services/mecoda-data-analysis-package/</a></p> <p>MECODA has been developed by the ICM-CSIC in the Cos4Cloud framework.&nbsp;</p> <p>Infographic design: Lucas Wainer.&nbsp;</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/863463/">863463</awardNumber> <awardTitle>Co-designed Citizen Observatories Services for the EOS-Cloud</awardTitle> </fundingReference> </fundingReferences> </resource>
All versions | This version | |
---|---|---|
Views | 61 | 61 |
Downloads | 44 | 44 |
Data volume | 9.5 MB | 9.5 MB |
Unique views | 45 | 45 |
Unique downloads | 38 | 38 |