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MECODA system and user guide: a Cos4Cloud service training and capacity building resource

appsOther research productkeyboard_double_arrow_right Other ORP type , Other literature type 28 Feb 2023 English Publisher:ZenodoFunded by:EC | COS4CLOUD
Authors: Ansine, Janice; Álvarez, Ana; Liñán, Sonia; Soacha, Sonia; Piera, Jaume; Justamante, Ángela;

doi: 10.5281/zenodo.7790103 , 10.5281/zenodo.7790102

MECODA system and user guide: a Cos4Cloud service training and capacity building resource

Abstract

This is a system and user guide to MECODA, an online service that provides a repository of tools that facilitate analysis and visualisation of citizen science data from citizen observatories (COs). MECODA (ModulE for Citizen Observatory Data Analysis) is one of the technological services developed in the Cos4Cloud project framework by Instituto de Ciencias del Mar (ICM-CSIC). More information: https://cos4cloud-eosc.eu/services/mecoda-data-analysis-package/ This system and user guide is one of the Cos4Cloud Training and Capacity Building Resources developed by The Open University (OU), in collaboration with project partners, for the Cos4Cloud Toolbox & Evidence Hub. System and user guide designer: Harriett Cornish, OU. Contact: cos4cloud-toolbox@open.ac.uk

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Keywords

services, training resources, citizen observatories

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selected citations
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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).
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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.
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