Where: Co-located with ESWC 2024 to be held in Hersonissos, Greece
When: 26th or 27th of May 2024 (TBC)
Submissions: https://easychair.org/conferences/?conf=damalos2024 (deadline 2024.03.07)
More information at: https://zbmed.github.io/damalos/
Contact: damalos2024 @ easychair . org
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; FAIRification; FAIR by design; FAIR tooling; 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).
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). Accepted papers will go to the proceedings of the workshop and will be publicly available under CC-by 4.0 license at PUBLISSO FRL indexed by LIVIVO and DBLP. Papers should be formatted according to LNCS templates.
Research management
Importance, automatization 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
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