日本データベース学会の皆様
大阪大学 佐々木と申します．
EDBT/ICDTの併設ワークショップ DataEDのCFPを案内いたします．
データサイエンスにおける教育に関する第５回目のワークショップです．
アブストと論文締め切りがそれぞれ12月12日と19日となっております．
是非ご検討のほどよろしくお願いいたします．
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Call for submissions
DataEd 2026
Fifth international workshop on data systems education
In conjunction with EDBT/ICDT 2026
Tuesday March 24 in Tampere, Finland
Workshop website:
https://dataedinitiative.github.io/DataEd26/index.html
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*** Focus and purpose of DataEd 2026 ***
Data systems education is foundational in a variety of programs such
as computer science, data science, and information systems and
science. And, indeed, data management concepts are both timely and
timeless in our increasingly data-driven world. A continual focus
since the 1970’s in the database research community is the place in
curricula and best practices for teaching data systems concepts. This
important conversation is particularly lively in recent years given
the rise of data science. There is also a long tradition in the
Computer Science Education research community on investigations into
how students learn data systems concepts. With the increasing focus on
data in the past decade, there is renewed focus on data systems in
education research.
Both the DB and CS Education communities, and adjacent communities,
e.g., in Statistics Education, have complementary perspectives and
experiences to share with each other. There is much to be gained by
bringing the communities more closely together: to share findings, to
cross-pollinate perspectives and methods, and to shed light on
opportunities for mutual progress in data systems education. The
DataEd workshop is a dedicated venue for these communities to come
together, for presentation and discussion of data management systems
education experiences and research.
This is the fifth edition of DataEd. Links to the proceedings of the
earlier editions can be found at the Data Ed website.
*** Submissions ***
Contributions are welcome in the broad area of data systems education:
the teaching and learning of databases/data management/data systems
topics, ranging across the whole field, from classical topics (such as
physical design, query optimization, data modeling, data integration,
visual analytics, and query languages) to contemporary topics (such as
ML & AI for data management systems, data management for ML & AI, very
large data science applications/pipelines, and responsible data
management).
The workshop solicits three kinds of submissions: Research and
Research Proposal Papers, Experience Reports, and Artefact Papers.
Submissions of all types should be up to 5 pages in length (excluding
references) in the standard CEUR Double Column format. Shorter
submissions are encouraged.
Abstract submissions and paper submissions are due by the end of
December 12 and 19, 2025, respectively (AoE).
All accepted articles will be assigned a DOI and submitted for
inclusion in the CEUR workshop proceedings. Accepted articles will be
made available through popular indexing websites to ensure maximum
visibility. Organizers encourage participants to make any code and
data associated with their work publicly available to the research
community. Links to open-source repositories will be hosted on the
workshop website wherever possible.
Further details can be found on the DataEd 2026 website.
*** Format of the Workshop ***
DataEd 2026 will be a full day workshop held on Tuesday 24 March
consisting of keynote talks, paper presentations & discussion, and a
poster social session.
*** Organizers ***
Abdussalam Alawini, University of Illinois Urbana-Champaign
George Fletcher, Eindhoven University of Technology
Daphne Miedema, University of Amsterdam
For further details, please see the DataEd website at
https://dataedinitiative.github.io/DataEd26/index.html
or contact the organisers at dataedinitiative(a)gmail.com
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Associate Professor
The University of Osaka
Yuya Sasaki
Email: sasaki(a)ist.osaka-u.ac.jp
URL: http://www-bigdata.ist.osaka-u.ac.jp/sasaki
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