Dataset showcase WORKSHOP

Papers must describe the data as curated by the author team and made publicly available. As a guiding principle, the dataset must be useful and readily reusable by third parties, for instance by: adding value to the data for the community through preprocessing or filtering; providing an easy-to-understand organization through a schema, data dictionary, taxonomy, ontology, or other formalism; offering facilitated access through appropriate mechanisms; or presenting distinguishable quality achieved through complex curation and cleaning processes.

Papers submitted to SBBD DSW must be written in Portuguese, English, or Spanish, must include an abstract in English, follow the SBC formatting guidelines, have 6 to 10 pages (with up to two additional pages exclusively for acknowledgments and references), and be submitted via JEMS. Each submission must include, as appropriate and in the order preferred by the author team:

• A description of the data source(s) and the complete methodology for data collection or generation (including public availability of the tool used to create or generate the data, when applicable);
• A description of the storage mechanism, including, when available, a schema or data dictionary, taxonomy, ontology, or other formalism that facilitates reuse by third parties;
• A quantitative description of the dataset, as well as an initial data analysis characterizing the dataset and reporting the amount of missing data, number of tables, and other relevant information that can be used to assess dataset quality;
• A description of how the data have been used (if applicable, referencing published or submitted papers that use the data and how they do so) and of its novelty, since even if the data have been used in other publications or submissions, the complete dataset description as provided in the DSW submission must be original;
• A discussion of existing challenges and potential limitations in data usage;
• Ideas for different uses of the data, application scenarios, research questions that could be formulated or addressed based on the dataset, and possible improvements to the data; and
• A public download location, as the dataset must be publicly available at the time of paper submission for review. Preferably, authors should use online platforms specialized and suitable for public data maintenance, such as GitHub, Zenodo, Figshare, or OSF (i.e., avoiding private repositories such as Google Drive folders, Dropbox, OneDrive, or similar services).

It is important to note that submissions to SBBD DSW must not overlap with submissions to the main conference or its satellite events, as the contribution is entirely different from that of papers typically published at SBBD. In particular, data showcase papers are not:

• Surveys, systematic reviews, or empirical or experimental evaluation studies;
• Papers proposing tools for data generation or processing;
• Based on weak or questionable data collection heuristics; or
• Simple applications of generic tools to generate data that can be quickly and easily reproduced by anyone.

Authors are encouraged to review papers published in previous editions of SBBD DSW and to include references as appropriate.

Finally, all authors must commit to complying with the SBC Code of Conduct for Authors and Publications, available on the SBC website and on SOL. Moreover, the submission of a full paper must be made under the condition that the work has not been previously published.

Regarding the use of Generative AI, the SBC Code of Conduct for Authors, Part II, Art. 2, states:

III – Use of Generative Artificial Intelligence (AI): The use of Generative AI tools and technologies for content generation, writing, and/or content revision in papers must be explicitly declared in the work. The declaration may appear in the Acknowledgments section, in the methodology, or in a section specifically defined for this purpose, according to the adopted template, and must list the tools used and describe where they were applied (e.g., text, tables, figures, citations, etc.). Such tools must not be listed as authors of a paper. The use of these tools does not exempt the authors from full responsibility for the content, including in cases where plagiarism is identified.

For DSW 2026, the inclusion of an unnumbered subsection entitled “Use of Artificial Intelligence”, placed immediately before the References section, is mandatory. This subsection must declare whether Generative AI technologies were used and, if so, which tools were employed and for what purposes (e.g., translation, grammatical revision, etc.). This section does not count toward the maximum page limit of the paper.