EDBT Research Track Call for Papers

The International Conference on Extending Database Technology (EDBT) is a leading international forum for database researchers, developers, and users to present and discuss cutting-edge ideas, and to exchange techniques, tools, and experiences related to data management. Data management is an essential enabling technology for scientific, business, and social communities. Data management technology is driven by the requirements of applications across many scientific, business and social communities, and runs on diverse technical platforms associated with the web, enterprises, clouds and mobile devices. The database community has a continuing tradition of contributing with models, algorithms and architectures to the set of tools and applications that enable day-to-day functioning of our societies. Faced with the broad challenges of today’s applications, data management technology constantly broadens its reach, exploiting new hardware and software to achieve innovative results.

[Hybrid Conference, Green Conference, Contingency Planning] EDBT 2021 will be held in Nicosia, Cyprus, from March 23rd to March 26th. It will be a hybrid event. Authors will have to physically participate and present their works to fellow participants in the traditional conference manner. However, online participation will also be possible. The presented material will become available online, either as a live stream, and/or as other forms of media for offline viewing. During the conference, online participants will have the opportunity to engage in discussions with the conference physical participants or those others online. The organizers are committed to provide open access to proceedings and paper presentation videos to the whole community. Additionally, the conference organizers are committed to promote a green organization. In the case of unforeseen events that may deem impossible the physical implementation of the conference, the activities will take place in a purely online manner.

The conference invites submissions of original research contributions related to all aspects of data management, particularly those of emerging interest in the data management research and development communities. A list of related themes and topics is provided below mainly as an indicator of the kind of papers expected and is by no means exhaustive.

Topics of Interest

We welcome papers on topics including, but not limited to:

  • Availability, reliability, and scalability
  • Big data storage, processing and transformation
  • Complex event processing and data streams
  • Concurrency control
  • Recovery, & transaction management
  • Data management in clouds
  • Data mining and knowledge discovery
  • Data quality, curation, and provenance
  • Data warehousing
  • Large-scale analytics and ETL tools
  • Emerging hardware and in-memory databases
  • Experiments and analyses
  • Graph databases and semantic web
  • Heterogeneous databases, data integration
  • Middleware and workflow management
  • Parallel, distributed and grid data management
  • Privacy, trust and security in databases
  • Query processing and optimization
  • Scientific and statistical databases
  • Semi-structured and linked data management
  • Sensor and mobile data management
  • Social networks and crowdsourcing
  • Spatial, temporal, and geographic databases
  • Text databases and information retrieval
  • Tuning & monitoring
  • Benchmarking and performance evaluation
  • User interfaces and data visualization

General Research Papers

The Conference welcomes General Research papers that deal with challenging technical or theoretical issues and provide detailed and advanced technical solutions with in-depth studies of the challenges.

Experiment & Analysis Papers

The conference invites submissions of Experiment & Analysis (E&A) papers. E&A submissions focus on a comprehensive and detailed performance evaluation, on appropriate methodology, and on a fair assessment of the strengths and weaknesses of ideas published in previous work. The scientific contribution of an E&A paper lies in providing new insights into the strengths and weaknesses of existing methods rather than providing new methods. Papers proposing new solutions should be submitted to the regular research track. For the reviewing period, E&A papers must be marked by stating “[Experiment & Analysis]” at the beginning of the title or as a subtitle. They are reviewed by the same program committee as the other regular research papers but will be assessed under the respective criteria of the E&A works.

Vision papers

The conference expects submissions of Vision papers that describe an area in which there is a need for significant new results. The vision articulated should be for research that may take years to investigate fully, and for which there may be scope for a variety of approaches. Vision papers provide a forum for the identification and discussion of new or emerging areas, innovative or risky approaches, or emerging applications that will require extensions to established techniques. A Vision paper does not have to include results already but should:

  • Describe an area in which there is a need for significant new results; the vision articulated should be for research that may take years to investigate fully, and for which there may be scope for a variety of approaches.
  • Motivate research in the area by making it clear that there are challenging problems to be solved, and that the solutions to these problems would be valuable.
  • Motivate future research in the area by making the case that there is a need for substantial technical contributions, such as the provision of new theoretical foundations, the development of new techniques or architectures, or the creation of new communities.

Vision papers are reviewed by the same program committee as research papers and for the reviewing period, they should be explicitly marked by stating “[Vision Paper]” at the beginning of the title or as a subtitle.

Applied Database Systems for Data Science 

The conference is soliciting contributions describing the design, implementation, experience, or evaluation of database systems for applied data science purposes. This means the application of solutions from every phase of the data management pipeline, from data collection and curation to data analysis and presentation. The emphasis here is on the way the data management systems are used to improve data science tasks and applications at large scale. Papers in this category should describe on one hand the design goals, the system architecture, the novel abstractions and the design justifications, but at the same time they should indicate how all these helped in solving some significant real-world data science problem. Papers of this category are evaluated by the same committee that evaluates the regular research papers but assessed with different criteria. Thus, for the reviewing period, they should be marked by placing the word [ADS] at the beginning of the title or as a subtitle.

Conflicts of interest (COI)

When submitting a research paper, the submission site will request information about conflicts of interest of the paper’s authors with program committee (PC) members. It is the full responsibility of all authors of a paper to identify all and only the PC members they have a COI with as defined below. Papers with incorrect or incomplete COI information at the time when submission closes are desk rejected. A paper author has a conflict of interest with a PC member when, and only when, one or more of the following conditions holds:

  • The PC member is a co-author of the paper.
  • The PC member has been a co-worker in the same company or university within the past two years.
  • The PC member has been a collaborator within the past two years.
  • The PC member is or was the author’s primary thesis advisor, no matter how long ago.
  • The author is or was the PC member’s primary thesis advisor, no matter how long ago.
  • The PC member is a relative or close personal friend of the author.

Duplicate submissions and novelty requirements

A paper submitted to EDBT 2021 cannot be under review for any other publishing forum or presentation venue, including conferences, workshops, and journals, during the time it is being considered for EDBT. Furthermore, after a paper is submitted to EDBT, the authors must await the response and only then resubmit elsewhere if the paper is rejected (or withdrawn at their request) from EDBT.

All papers submitted to EDBT 2021 must present substantial novel research not described in any prior publication. A prior publication is either (a) a paper of five pages or more presented, or accepted for presentation, at a refereed conference or workshop with proceedings or (b) an article published, or accepted for publication, in a refereed journal. If an EDBT 2021 submission has (limited, less than 5 pages) overlap with a prior publication, the submission must cite the prior publication.

Any violations of the above policy will result in the immediate rejection of the submitted paper.

Length, file type, and formatting

Length: Regular, Vision, Experiment & Analysis and papers have a page limit of 12 pages (including references and appendices). Short papers have instead a limit of 6 pages.

File type: Each research paper is to be submitted as a single PDF file, formatted for A4 paper and no more than 10 MB in file size. Submitted papers must print without difficulty on a variety of printers, using Adobe Acrobat Reader. It is the responsibility of the authors to ensure that their submitted PDF file will print easily on simple default configurations.

The papers should be formatted according to the ACM Proceedings Format without any change in terms of fonts, margins, inter-column spacing, style, footers, etc. The template can be downloaded from here: https://github.com/EDBT2021/Template. The conference is single-blind, which means that the authors should include their names and affiliations.  Any submitted paper violating the length, file type, or formatting requirements will be desk rejected.

Submission Instructions

All submissions will be electronically through CMT (https://cmt3.research.microsoft.com/EDBT2021).

Important Deadlines

In the deadlines that follow, the time is 23:59 “anywhere on earth”, i.e., 23:59 IDLW.

Regular, Vision, Experiment & Analysis and Applied Database Systems for Data Science Papers

  • Abstract Submission: Oct 2nd, 2020 (optional)
  • Paper Submission: Oct 9th, 2020
  • Accept/Reject/Revise Notification: Nov 15th, 2020
  • Revised Paper: Dec 18th, 2020
  • Revised Paper Notification: Jan 22nd, 2021
  • Camera Ready: Feb 8th, 2021

Short Papers

  • Short Paper Submission: Jan 8th, 2021
  • Accept/Reject Notification: Feb 1st, 2021
  • Camera Ready: Feb 8th, 2021

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