[iaoa-general] [CFP] CMOMM4FAIR: Conceptual Modeling, Ontologies and Metadata Management for Findable, Accessible, Interoperable and Reusable (FAIR) Data

[Pedro Paulo Favato Barcelos]

CMOMM4FAIR: Conceptual Modeling, Ontologies and Metadata Management for
Findable, Accessible, Interoperable and Reusable (FAIR) Data

Co-Located with the 42nd International Conference on Conceptual Modeling
(ER 2023)
Instituto Superior Técnico
Lisbon, Portugal, November 6-9, 2023
- Conference website https://cmomm4fair.github.io/
- Submission link https://easychair.org/conferences/?conf=cmomm4fair1
- Submission deadline August 9, 2023

In an increasingly complex and heterogeneous environment, significant
effort is required to efficiently work with data and other digital objects.
The Findable, Accessible, Interoperable and Reusable (FAIR) principles were
elaborated to tackle these problems, describing a minimal set of
requirements for data stewardship towards higher data reusability [1]. The
FAIR principles have been gaining significant attention in different areas
of the society, crossing international borders and knowledge and
application domains. A number of initiatives such as GO-FAIR, the Research
Data Alliance (RDA) and the permanent Committee on Data of the
International Council for Science (CODATA) are focusing on different
aspects of FAIR.

In order to improve findability, accessibility, interoperability and
reusability of different types of digital objects at scale, the FAIR
principles focus on machine actionability. Therefore, a critical aspect to
achieve this machine actionability is semantics. Proper semantic
descriptions should be available to make "intelligible" for computational
agents the elements of a FAIR data ecosystem such as data policies, data
management plans, identifier mechanisms, standards, FAIRification
processes, FAIRness assessment criteria and methods, data repositories and
supporting tools.

The goal of the workshop on Conceptual Modeling, Ontologies and Metadata
Management for FAIR Data is to discuss challenges, solutions and impact of,
for one side, the use of conceptual modeling and metadata and data
management to support the improvement of FAIRness in digital objects and,
for the other side, the adoption of the FAIR principles to guide
improvements in conceptual modeling.

*Submission Guidelines*
Since the proceedings will be published by Springer in the LNCS series,
authors must submit manuscripts using the LNCS style (see style files and
details). Springer has provided a LaTeX template in Overleaf for your
convenience. Full Papers must not exceed 10 pages (including figures,
references, etc.). Manuscripts not submitted in the LNCS style or exceeding
the page limit will be desk rejected.

Papers have to be submitted in PDF format using the EasyChair submission
page selecting the track Workshop on Conceptual Modeling, Ontologies and
Metadata Management for Findable, Accessible,Interoperable and Reusable
(FAIR) Data (CMOMM4FAIR)

Only the accepted papers presented in the workshop by at least one author
will be published. The corresponding author of each paper, acting on behalf
of all of the authors of that paper, must complete and sign a
Consent-to-Publish form. The corresponding author signing the copyright
form should match the corresponding author marked on the paper. Once the
files have been sent to Springer, changes relating to the authorship of the
papers cannot be made.

*Topics of Interest*
- Semantic descriptions of FAIR digital objects
- Cross-domain interoperability
- Different aspects of conceptualizations for research outputs
- Good practices on modeling FAIR data
- Assessment of FAIR principles
- Data and services integration in FAIR environments
- FAIR data management and stewardship
- Novel applications of the FAIR principles
- Metrics modeling for FAIRness assessment
- Provenance modeling in FAIR environments
- FAIR data for AI, IoT and digital twins
- Architectures for FAIR repositories and networks
- Challenges in FAIR data management and modeling
- Modeling and managements challenges in FAIR e-Science infrastructures
- FAIR data analytics
- Workflows and process modeling for FAIR environments
- Data and metadata foundation, vocabulary and terminology
- Modeling for different interoperability levels (legal, organizational,
etc)
- Use of the FAIR principles in conceptual modeling

*Program Committee*
- Daniel Garijo (Universidad Politécnica de Madrid, Spain)
- Debora Drucker (Embrapa Digital Agriculture - Brazilian Agricultural
Research Corporation, Brazil)
- João Moreira (University of Twente, the Netherlands)
- Luiz Olavo Bonino (University of Twente, LUMC, the Netherlands)
- Nathalie Aussenac-Gilles (IRIT CNRS, France)
- Pedro Paulo F. Barcelos (University of Twente, the Netherlands)
- Peter Mutschke (GESIS - Leibniz Institute for the Social Sciences,
Germany)
- Robert Pergl (Technical University of Prague, Czech Republic)
- Tiago Prince Sales (University of Twente, the Netherlands)
- Washington Segundo (IBICT - Brazilian Institute of Information in Science
and Technology, Brazil)
- York Sure-Vetter (National Research Data Infrastructure NFDI, Germany)
- Maya Daneva (University of Twente, the Netherlands)
- Sergio Manuel Serra Da Cruz (UFRRJ, Brazil)
- Veruska Zamborlini (Federal University of Espirito Santo, Brazil)
- Wanderley Lopes de Souza (Federal University of São Carlos, Brazil)
- Patricio de Alencar Sliva (Universidade Federal Rural do Semi-Árido,
Brazil)

*Organizing committee*
- João Moreira (University of Twente, the Netherlands)
- Luiz Olavo Bonino (University of Twente, LUMC, the Netherlands)
- Pedro Paulo F. Barcelos (University of Twente, the Netherlands)

*Publication*
CMOMM4FAIR proceedings will be published in the LNCS series by Springer.

*Venue*
The conference will be held in Lisbon, Portugal, at the Congress Center of
the Instituto Superior Técnico located in Alameda, in the heart of Lisbon.

Kind regards,
Pedro Paulo Favato Barcelos
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