Workshop on data/research objects management plans – Deadline for submission 17th Aug.
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Discussion
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Dear all,
As data/research management plans are an important part of FAIR data
sharing, this coming workshop might be of your interest. Please consider
contributing with a submission.
Regards,
———-
** Apologies for cross-posting **
Workshop on research data/objects management for Linked Open Science –
DaMaLOS
Virtually co-located with the International Semantic Web Conference – ISWC
2020
*Submission deadline*: 17 Aug. 2020
*Submission link*: EasyChair DaMaLOS-2020 workshop
Call for Papers
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DaMaLOS-2020 (ISWC co-located) workshop will explore what is required for
Research Data Management to effectively instantiate Linked Open Science,
i.e., Open Science + Linked Open Data (LOD) principles, including effective
support for LOD, automation by, e.g., machine/deep learning approaches, and
innovations to include supporting data elements such as the software used
to produce/consume it together with tutorials showcasing their usage.
Furthermore, data management should be complemented by other research
objects management plans, e.g. software and workflows, in order to get an
integrated layer supporting all the edges of Linked Open Science. In this
workshop we will keep a focus on data management but we will also have
opportunities to discuss how other research objects play an important role.
Please submit your contribution via EasyChair DaMaLOS-2020 workshop
before the 17 of
August. We welcome full (max 10 pages) and short/position (max 6 pages)
papers on the following (or similar) topics:
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Importance of Research Data Management (RDM) for LOD
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Importance of other Research Objects Management (ROM) and their
alignment with RDM and LOD
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Special features/metadata required in RDM plans for LOD
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RDM plans elements/data that can be automated, particularly for LOD
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Links between RDM and ROM plans and how those could be automated
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Extensions to current RDM plans to better support Linked Open Science,
e.g., emergence of ROM
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Integration/alignment between FAIRness assessment tools and RDM/ROM
plans/tools
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Research and training initiatives related to RDM/ROM supporting Open
Science/Linked Open Science
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Benefits of Linked Open Science over Open Science
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How RDM/ROM plans and LOD can be used to improve collection and storage
of (usually volatile) data produced at, e.g., conferences
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How and what data produced by RDM/ROM plans could be automatically
integrated into knowledge graph initiatives such as Open Aire, Research
Graph or Web of Science
Important dates
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Submission due: 17 of August 2020
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Notification of accepted papers: 11 of September 2020
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Camera ready papers due: TBD, probably by the end of September 2020
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Publication of workshop proceedings: TBD, probably 2 to 4 weeks after
camera ready
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Workshop: 2 or 3 of November 2020
Submission process
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Full papers (up to 10 pages): Presenting novel scientific research
relevant to workshop topics
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Short papers (up to 6 pages): Presenting supporting tools or training
materials relevant to workshop topics
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Position papers (up to 6 pages): Presenting positions or research at
early stages relevant to workshop topics
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All submissions must be original and not simultaneously submitted to
another journal or conference/workshop. All submissions must be in English.
Proceedings of the workshop will be publicly available under CC-by 4.0
license ; by submitting
you agree to the use of this license for accepted papers. We welcome full
(max 8 pages) and short/position (max 4 pages) papers formatted
according to LNCS
templates
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Accepted papers will be invited to submit an extended version to the Journal
of Biomedical Semantics (JBMS)
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All submissions should be done via EasyChair DaMaLOS-2020 workshop
Important links
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Workshop website: https://zbmed.github.io/damalos/
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Call for papers: https://zbmed.github.io/damalos/docs/cfp.html
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Important dates: https://zbmed.github.io/damalos/docs/dates.html
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Submission process: https://zbmed.github.io/damalos/docs/submission.html
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Submission system via EasyChair:
https://easychair.org/conferences/?conf=damalos2020
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