[dbjapan] CFP: DataEd @ EDBT/ICDT 2026, Tempare, Finland (2026/3/24)

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． ----------------------------------------------------------------------------- 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 ----------------------------------------------------------------------------- *** 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 ----------------------------------------------------------------------------- --- 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 ---