SFSCON23 - Andrea Vianello - Achieving FAIRness with EDP-portal

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This document discusses efforts to make environmental data from the Environmental Data Platform (EDP) more FAIR (Findable, Accessible, Interoperable, Reusable) compliant. It describes the components of EDP including data repositories, a metadata catalog, web portal, and tools. It outlines work done to improve metadata quality for humans and interoperability for machines through signposting. This includes adding DOIs, citations, and linked data/linkset JSON files. The document emphasizes that maintaining high quality metadata requires significant ongoing effort.

Technology

A. Vianello, S. Tritini, B. Ventura, R. Monsorno
10.11.2023
Achieving FAIRness with
Environmental Data Platform

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Why FAIRness
“The principles emphasise machine-actionability (i.e., the capacity
of computational systems to find, access, interoperate, and reuse
data with none or minimal human intervention) because humans
increasingly rely on computational support to deal with data as a
result of the increase in volume, complexity, and creation speed of
data.”
Credits: https://www.go-fair.org/fair-principles/
Findability Accessibility Interoperability Reuse

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edp-portal.eurac.edu

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Environmental Data Platform – components
Based on open-source solutions
Data repositories
Organizes, stores and provides
access to datasets.
Metadata catalog
Describes datasets, provides
documentation and snippet codes.
Web portal
Provides access to all EDP
functionalities.
Web tools
To view, process and manage.
Documentation
A collection of documentation pages to
work with our datasets.

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Environmental Data Platform - components
Data repositories
Organizes, stores and provides
access to datasets.
Metadata catalog
Describes datastes, provides
documentation and snippet codes.
Web portal
Provides access to all EDP
functionalities.
Web tools
For viewing, processing and managing.
Documentation
A collection of documentation pages to
work with our datasets.

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F-UJI is a web service to programatically
assess FAIRness of research data objects at
the dataset level based on the FAIRsFAIR
Data Object Assessment Metrics

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F-UJI is a web service to programatically
assess FAIRness of research data objects at
the dataset level based on the FAIRsFAIR
Data Object Assessment Metrics
2022 2023

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DOI for EDP components
Type: repository Type: repository

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DOI for EDP components
Awaiting DOI
Type: knowledge base
Type: repository Type: repository

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DOI for EDP components
Awaiting DOI
Type: knowledge base
“Knowledgebases synthesise data from a number
of sources including published literature,
databases and other types of data sources. They
often have a manual curation component. They
can be considered secondary databases as they
store data derived from primary sources”

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Metadata catalog

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EDP-discovery architecture:
CORE
openEO
API for accessing
multi-parametric
timeseries
(datacubes)
MAPS
Spatial layers
(vector, raster)
Databases
PostgreSQL +
InfluxDB
Data repositories
Catalog Service for the Web (CSW)
OGC standard
CSW

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EDP – discovery
CSW – OGC standard
EDP-Discovery
metadata +
documentation +
snippet codes +
more user-friendly GUI

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EDP – discovery
CSW – OGC standard
EDP-Discovery
metadata +
documentation +
snippet codes +
more user-friendly GUI
STAC-catalog
SpatioTemporal Asset Catalogs
specification
proposed as new OGC-standard

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Work on metadata
Signposting
We provide linked-data and linkset json files
customized for each record.
Metadata improvements
We have improved the completeness of metadata
content.

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For humans we improved
metadata quality, we added
DOI and citation
EDP – discovery

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For machines
interoperability we
added signposting
EDP – discovery

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Conclusion: FAIRness effort
33%
Data
repositories
33%
Metadata
quality
33%
Effort in
mantainance
Don't underestimate the effort required to maintain
metadata

Contact us
Eurac Research
https://ror.org/01xt1w755
Center for Sensing Solutions
andrea.vianello@eurac.edu
https://orcid.org/0000-0002-3017-6045
supportcss@eurac.edu

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