RB S S fees Biodiversity Information Science and Standards 6: e91205
sameas’ doi: 10.3897/biss.6.91205

Conference Abstract

From Raw Data to Data Standards through Quality
Assessment and Semantic Annotation

Julien Sananikone*, Elie Arnaud*, Olivier Norvez8, Sophie Pamerlon!, Anne-Sophie Archambeaul,
Yvan Le Bras

+ MNHN, Concarneau, France, Metropolitan

§ FRB, Paris, France

| OFB - Office Frangais de la Biodiversité (French Biodiversity Agency), Paris, France
4 IRD, Paris, France, Metropolitan

Corresponding author: Yvan Le Bras (yvan.le-bras@mnhn.fr)

Received: 03 Aug 2022 | Published: 03 Aug 2022

Citation: Sananikone J, Arnaud E, Norvez O, Pamerlon S, Archambeau A-S, Le Bras Y (2022) From Raw Data
to Data Standards through Quality Assessment and Semantic Annotation. Biodiversity Information Science and
Standards 6: e91205. https://doi.org/10.3897/biss.6.91205

Abstract

Data quality and documentation are at the core of the FAIR (Findable, Accessible,
Interoperable, Reusable) principles (Wilkinson et al. 2016). Regarding biodiversity and
more broadly ecology domains, complementary solutions of the well-known data standard
(notably through Darwin Core (Wieczorek et al. 2012)) orientation are emerging from the
intensive use of EML (Ecological Metadata Language (Michener et al. 1997)) metadata
standard. These notably capitalize on using:

1. semantic annotation from EML metadata documents that describe data attributes,
and

2. FAIR quality assessment as proposed by DataOne (Data Observation Network for
Earth) network.

Here we propose to present this point of view by orchestrating the production of rich (with
attributes description and links with terminological resources terms) EML metadata from
raw datafiles and, through the generation of FAIR metrics for direct assessment of
FAIRness and creation of data standards like Darwin Core. Using EML, we can describe
each data attribute (e.g., name, type, unit) and associate each attribute one to several
terms coming from terminological resources. Using the Darwin Core vocabulary as a

© Sananikone J et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC
BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are
credited.

2 Sananikone J et al

terminological resource, we can thus associate, on the metadata file, original attributes
terms to corresponding Darwin Core ones. Then, the data and their metadata files can be
processed in order to automatically create the necessary files for a Darwin Core Archive.
By acting at the metadata level, associated with accessible raw data files, we can
associate raw attribute names to standardized ones, and then, potentially create data
standards.

Keywords

Ecological Metadata Language, EML, FAIR, FAIR assessment, terminological resources,
ontologies, thesaurus

Presenting author

Yvan Le Bras

Presented at

TDWG 2022

References

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