# InDoRES, A platform for FAIR biodiversity and environmental data

Amandine Hénon, Cécile Callou, Naïma Khrouz

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## To cite this version:

Amandine Hénon, Cécile Callou, Naïma Khrouz. InDoRES, A platform for FAIR biodiversity and environmental data. Dataverse Community Meeting 2023, Jun 2023, Braga, Portugal. hal-04141120

HAL Id: hal-04141120

https://hal.science/hal-04141120

Submitted on 26 Jun 2023

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Distributed under a Creative Commons Attribution 4.0 International License
# A platform for FAIR biodiversity and environmental data

A. Hénon, N. Khrouz, C. Callou

Unité d'Appui et de Recherche BBEES (Bases de données sur la Biodiversité, l'Ecologie, l'Environnement et les Sociétés. Muséum national d'Histoire naturelle, CNRS

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Data.
InDoRES

Inventaire des Données de la Recherche
en Environnement et Sociétés

A national thematic repository for environment and biodiversity data :

* DOI

* CC-BY 4.0 license

* Local administration through the creation of a network of referents

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Cat.
InDoRES

Inventaire des Données de la Recherche
en Environnement et Sociétés

A metadata catalog using Geonetwork

* Connected to our Dataverse (INSPIRE directive, ISO 19 115).

* Mutualised with national networks (Long Term Ecological Research network, human environment observatory network).

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## Unique entry point

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A Drupal platform dedicated to Open Science and FAIR principles to find resources and tools to publish and reuse data.

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## Future evolutions...

* Currently testing Geoflow, an application to facilitate metadata edition.

* Long-term goal : deploy Dataverse instance on the existing Openshift cluster with iRODS storage

* Implementation of a shared Geoserver for data visualisation.

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Guide utilisateurs data.InDoRES

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Dedicated workshops and user documentation to explain FAIR principles and open science in practice

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GeoServer

iRODS

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OPENSHIFT

## Our main goal

* offering a **shared scalable platform** deployed in a certified data centre (Centre de Calcul de l'IN2P3).

* offering the community **sustainable tools** following the FAIR principles to develop open science for environmental and biodiversity research data.

* training and awareness-raising for researchers (workshops, detailed documentation)

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