Call for papers - DaMaLOS 2025

Dear all,
---apologies for cross-posting---
On behalf of the co-organizers, I pleased to announce the 5th edition of
DaMaLOS workshop, co-located with ESWC as part of the Joint Workshops
on Joint Workshops for Research Management (MaRA).
Please consider to submit your contributions by 2025年05月20日 on topics
around machine-actionable DMPs and SMPs; machine/deep learning approaches
on rich metadata and/or research management plans; FAIRification; FAIR by
design; FAIR assessment; FAIR enabling; FAIR assistance; recognition,
publication and citation for data, software and other research digital
objects; and scientometrics beyond the scholarly publication.
You can find more information at https://zbmed.github.io/damalos/
If you have any questions, you can contact us at
mara-damalos-airdem@googlegroups.com
Kind regards,
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DaMaLOS 2025 - Call for papersDaMaLOS 2025 - 5th Workshop on Metadata and
Research (objects) Management for Linked Open Science
Where: Co-located with ESWC 2025 to be held in Portoroz, Slovenia
When: 1st or 2nd of June 2025 (TBC)
Submissions: https://app.oxfordabstracts.com/stages/77706/submitter
(deadline 2025年05月20日)
More information at: https://zbmed.github.io/damalos/
Email: mara-damalos-airdem@googlegroups.com
DaMaLOS explores requirements for research digital objects (e.g., data,
software, workflows, ro-crates) and their corresponding management plans to
effectively instantiate an integrated layer supporting Linked Open Science
(i.e., Open Science plus Linked Open Data). DaMaLOS welcomes contributions
aligned to the following topics: machine-actionable DMPs and SMPs;
machine/deep learning approaches around rich metadata and/or research
management plans; FAIRification; FAIR by design; FAIR assessment; FAIR
enabling; FAIR assistance; recognition, publication and citation for data,
software and other research digital objects; and scientometrics beyond the
scholarly publication (i.e., combining the different digital objects
playing a role in the research cycle).
Submission guidelines
This year DaMaLOS welcomes submissions in the form of long (up to 12 pages)
and short (up to 6 pages) research papers, research objects (up to 3
pages), position papers (up to 6 pages), demos (up to 3 pages), posters (up
to 3 pages). References are not counted within the page limit. Please use
numbered citations in sequential order, e.g., APA style, and whenever
possible add a (DOI) link. Accepted papers will go to the proceedings of
the workshop and will be publicly available under CC-by 4.0 license at PUBLISSO
FRL <https://repository.publisso.de/> indexed by LIVIVO
<https://www.livivo.de/> and DBLP <https://dblp.org/search?q=damalos>.
Papers should be formatted according to LNCS templates
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>.
Accepted workshop papers aligned with Life Sciences or domain-agnostic will
be later invited to submit an extended and improved version to the Journal
of Biomedical Semantics (JBMS <https://zbmed.github.io/damalos/docs/jbms>).
Topics of interest
 -
 Research management
 -
 Importance, automatization (including machine/deep learning
 approaches) and connections across Research Data and Software (and other
 digital objects) Management for Linked Open Science (LOS, i.e., Open
 Science + Linked Open Data principles)
 -
 Special features/metadata required in research management plans for
 LOS
 -
 Extensions to current RDM plans to better support LOS
 -
 FAIRness and FAIRification
 -
 Integration/alignment between FAIR and research management plans
 -
 FAIRification processes, either by design or post-research-object
 creation
 -
 FAIR tooling, e.g., evaluators, extensions, governance
 -
 FAIR enabling and FAIR assistance
 -
 RO-Crates, Signposting and FDOs
 -
 Open Science and Scientometrics
 -
 Benefits of LOS over Open Science
 -
 How research plans and LOS can be used to improve collection and
 storage of (usually volatile) data produced at, e.g., conferences
 -
 Integration of software, data, and other research outcomes into
 science-related metrics