# Success stories of FAIR data publication on behalf of the ANR SO-DRIIHM Open Science project

Emilie Lerigoleur, Laurent Bouveret, Ablaye Diop, Jean-Luc Jung, Iwan Le Berre, Mathieu Massaviol, Florence Mazier, Papa Ibnou Ndiaye, Anna Niang, Corinne Pardo, et al.

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## ► To cite this version:

Emilie Lerigoleur, Laurent Bouveret, Ablaye Diop, Jean-Luc Jung, Iwan Le Berre, et al.. Success stories of FAIR data publication on behalf of the ANR SO-DRIIHM Open Science project. International Symposium of LabEx DRIIHM 2023, Jun 2023, Strasbourg, France., 2023, 10.34972/driihm-a7445b hal-04128197

HAL Id: hal-04128197

https://hal.science/hal-04128197

Submitted on 14 Jun 2023

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

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# Success stories of FAIR data publication on behalf of the ANR SO-DRIIHM Open Science project

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E. Lerigoleur ¹*, L. Bouveret ², A. Diop ³, J.-L. Jung ⁴, I. Le Berre ⁵, M. Massaviol ⁶, F. Mazier ¹, P. I. Ndiaye ³, A. Niang ³, C. Pardo ⁶, M.-L. Trémélo ⁷

¹ CNRS - GEODE (UMR5602), Toulouse; ² OMMAG, Port Louis; ³ Univ. Cheikh Anta Diop - ESS (IRL3189), Dakar; ⁴ MNHN - ISYEB (UMR7205), Dinard; ⁵ Univ. Bretagne Occidentale - LETG (UMR6554), Brest; ⁶ CNRS - ECCOREV (FR3098), Aix-en-Provence; ⁷ CNRS - ESPACE (UMR7300), Aix-en-Provence

## SO-DRIIHM project in brief

The ANR SO-DRIIHM project encourages the sharing and opening of data within, between and beyond OHMs.

1. Promote Open Science and enhance Open Science practices, showing the challenges and benefits of structuring, accessing, sharing and opening research data

2. Enhance the DRIIHM existing infrastructure to a more user-friendly and interoperable e-infrastructure with new functionalities that will be prioritized according to users' expectations and motivations (co-design process)

## What is FAIR Data?

Findable
Interoperable
Open

**F** Findable: Metadata and data should be findable for both humans and computers

**A** Accessible: Once found, users need to know how the data can be accessed

**I** Interoperable: Data needs to work with applications or workflows for analysis, storage and processing

**R** Reusable: The goal of FAIR is to optimise data reuse via comprehensive well-described metadata

## 3 success stories in making data as FAIR as possible

### TRAFIC project core team

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* J-L. Jung: responsible

* L. Coché: trainee in ecology

* I. Le Berre & E. Lerigoleur: data stewards

* R. David & B. Madon: data experts

* OMMAG & other NPOs and whale-watchers

### Wild animals project core team

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OHM i
TesseKere

* P-I. Ndiaye: responsible

* A. Diop & A. Niang: PhD students

* P. Duboz: OHMi coordinator

* E. Lerigoleur: data steward

### PASTSERV project core team

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* F. Mazier: responsible

* S. Haunold, C. Plancher, C. Bonnet, H. Belly, T. Houet: data producers and data analyst

* E. Lerigoleur: data steward

### 1. Identify the datasets useful for dissemination

The Kakila database (cetacean biodiversity in Guadeloupe)
= 6 linked tables (xlxs format)

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### 3 tables (xlxs format):

* Large mammals biodiversity in Ferlo (North of Senegal)

* occurrence data

* trapping data of large mammals in Ferlo

* Bird biodiversity in Ferlo (occurrence data)

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1 table containing absolute cover percentage of plant species from vegetation survey in the Vicdessos mountainous area (Pyrenees, France) (xlxs format)

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### 2. Identify the most appropriate data repository // Check conditions

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Pôle National
de Données de Biodiversité

The PNDB portal (https://data.pndb.fr/data) offers:

* ✓ A national data portal in the field of biodiversity

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* ✓ A permanent identifier (DOI)

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* ✓ Open licenses (eg. CC BY)

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* ✓ A detailed description of the data using the EML (Ecological Metadata Language) metadata standard and the possibility to specify provenance and the data dictionary (variables)

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* ✓ Interoperability with other thematic portals

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* ✓ Free of charge, many formats accepted, ...

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GBIF
Global Biodiversity
Information Facility

The GBIF portal (https://www.gbif.org/) offers:

* ✓ An international biodiversity data portal

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* ✓ A DOI

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* ✓ Open licenses (eg. CC BY)

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* ✓ A detailed description of the data using EML standard metadata

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* ✓ Use of the Darwin Core Standard (DwC) to structure and interconnect text files with a common terminology → imposed data format, but this standardization simplifies the publication process, and it also makes it easy for users to discover, search, evaluate and compare datasets

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* ✓ Interoperability with other thematic portals

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* ✓ Free of charge, open formats ...

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GBIF
Global Biodiversity
Information Facility

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Data.
InDoRES
Inventaire des Données de la Recherche en Environnement et Sociétés

GBIF has been chosen to publish the dataset in the standard Darwin Core format.

The Data.InDoRES portal (https://data.indores.fr/) has been chosen to publish the source file with a structure commonly used by the research community. It offers:

* ✓ An institutional data repository (CNRS-INEE/MNHN) for long tail environmental data

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* ✓ A DOI

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* ✓ Open licenses (eg. CC BY)

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* ✓ Standardized core metadata (Dublin core, DDI)

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* ✓ Free of charge, many formats accepted, ...

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### 3. Deposit & dissemination // Documenting and cataloguing data thanks to metadata

Deposit tool: MetaShARK (Metadata Shiny Application for Resources and Knowledge) hosted by PNDB

https://www.pndb.fr/en/tools/partager

Time spent: data curation + + + + / data deposit + +

DOI of the dataset: https://doi.org/10.48502/8bb5-pk85

DOI of the data paper: https://doi.org/10.3897/BDJ.9.e69022

Deposit tool: IPT Integrated Publishing Toolkit hosted by the GBIF France

Time spent: data curation + / data deposit + +

DOI of the 3 datasets: https://doi.org/10.15468/k6vut5

https://doi.org/10.15468/tr6zfp

https://doi.org/10.15468/u484g6

Deposit tools: IPT for GBIF and the dataverse web interface for Data.InDoRES

Time spent: data curation + + / data deposit + +

### DOI of the datasets:

* GBIF Darwin Core file: https://doi.org/10.15468/4q47d3

* Data.InDoRES source file: https://doi.org/10.48579/PRO/9SI1PN

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Note: F-UJI is a web service to programmatically assess FAIRness of research data objects. It is not perfect, it is being improved! https://f-uji.net

### 4. Check the FAIRness level of the data using F-UJI tool

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Same assessment
results for all the
4 datasets
published in GBIF

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Not so hard to achieve!

A DOI for each dataset

Guaranteed medium-term preservation

Fairly good level of data FAIRness

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Pay particular attention to the choice of data repository, which will affect the completion of the FAIR criteria

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A significant amount of dedicated learning time

Recurring need for data curation

Interested in data sharing? Interested in making your data FAIR?
Would you like to contribute to the SO-DRIIHM project as a beta tester for our future open science support platform? → Contact us 😊 datadriihm-groupe@services.cnrs.fr or emilie.lerigoleur@univ-tlse2.fr

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