[Mingfang Wu]

Greetings All:
Please accept our apologies for multiple postings
Please forward the CfP to interested colleagues
Most of all
Please consider submitting a paper
Thanks!!
——————
*Call for papers*:
Data Intelligence , an MIT Press Direct open
access journal, seeks contributions for a special issue on Metadata as Data
Intelligence
.
*Important dates*
– Submission Deadline: Oct. 31 2021
– Notification of acceptance: Dec. 31, 2021
– Revised/final manuscripts due: Feb. 10, 2022
– Publication of special issue: March 2022
*Aim and Scope*
Metadata, as a type of data, describes content, provides context, documents
transactions, and situates data. As AI activities accelerate, so has the
interest in how metadata can be leveraged for machine learning and related
activities. The growing interest stems from the fact that metadata is
intelligent data and essential to both FAIR (findable, accessible,
interoperable and reusable) data and AI ready applications. As part of this
trend, researchers across nearly every discipline as well as front-line
data stewards have been advancing metadata approaches, applications, and
overall metadata-related operations.
This special issue of *Data Intelligence* invites submission from
researchers and practitioners across all disciplines and sectors (academia,
industry, government, etc.) to report on metadata practices, innovations,
and work under development addressing metadata as data intelligence. Data
intelligence is viewed widely, and encompasses metadata standards and
processes, addressing areas such as knowledge organization, ontology and
semantic web development, machine learning, deep learning, linked-data
analysis, knowledge graphs, data visualisation and other related areas. We
welcome submissions of the following three types:
– *Research articles* presenting novel or state-of-the-art research
findings on the latest developments, up-to-date issues, or challenges
covering metadata generation, metadata analysis, metadata interoperability,
metadata integration, FAIR metadata, data discovery, dataset quality
information and related topics.
– *Practice/implementation articles* reporting on the implementation of
metadata standards, vocabulary services, community of practices, FAIR
metadata, and any applications that utilize metadata.
– *Opinion/vision articles* discussing current practices, research
trends, or technologies, or providing a perspective on future directions
for metadata development and utilization.
*Data Intelligence* (DI) on *Metadata for
Data Intelligence*. DI is an open-access, metadata-centric journal
intended for data creators, curators, stewards, policymakers, and domain
scientists/researchers as well as communities interested in sharing data.
DI informs industry leaders, researchers, and scientists engaged in sharing
and reusing data, metadata, knowledge bases, and data visualization tools.
In addition to traditional articles addressing methodologies and/or
resources, the journal also publishes “data articles” in the form of
knowledge graphs, ontologies, and linked datasets.
*Co-editors for the special issue*:
Prof. Jane Greenberg (Drexel University, USA)
Dr. Mingfang Wu (Australian Research Data Commons, Australia)
More information is available in the full call for papers
.
——————–
Kind regards,
Jane & Mingfang
—
Dr Mingfang Wu
*Australian Research Data Commons * T: +61 3 9902
4646 | E: ***@***.*** | O:0000-0003-1206-3431
Physical address: Monash University, Building T, Ground Floor, 100 Sir John
Monash Drive, Caulfield East, VIC 3145

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