MECODA (ModulE for Citizen Observatory Data Analysis) will be a service available in Python to facilitate analysis and viewing of citizen science data.
Development & functioning :
This service will be adapted from an existing package, MOODA(Module for Ocean Observatory Data Analysis), following principles of reusability. The primary function of MOODA is to help scientists analyse data from the EMSO-ERIC facilities. MOODA, developed by CSIC under the framework of the H2020 project EMSODEV, is an open-source package in python that is adaptable and scalable. It was designed mainly for oceanographers and marine science students. It is an expandable power scripting system that currently has the following functionalities:
User-friendly access to various marine data repositories
Customizable data-quality control
Customizable data-analysis methods
Data-viewing tools that are commonly used in the oceanographic community
Exports data in different formats (such as netCDF or CSV)
In this line, MECODA will be adapted from MOODA to be used by scientists and students doing research and training activitiesassociated with citizen science and citizen observatories.
Innovation for citizen observatories:
MECODA will offer user interfaces, such as Jupyter, to make the execution of analytics experiments on citizen science datasets straightforward and user-friendly
MECODA and MOODA may collaborate and share products in developments applied to citizen science in marine environments. This type of collaboration could be extended to other environmental and citizen science research infrastructures in the future.
We are working on this service, it will be available soon!
PHYTON, JUPYTER, DATA ANALYSIS, DATA QUALITY, DATA VISUALIZATION
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