# Call for Contributions

Authors are invited to submit original, unpublished manuscripts. We solicit research papers (long and short), and demo papers. All submissions should be formatted according to the ACM Master Article “sigconf” proceedings template.

SSDBM 2020 is single-blind reviewed; authors must include their names and affiliations on the first page. The submission site is on Easychair.

## RESEARCH PAPERS (LONG and SHORT)

Long papers are up to 12 pages (including references and appendices), and short papers are up to 4 pages (including references and appendices). The former tend to be descriptions of complete technical work, while the latter tend to be descriptions of interesting, innovative ideas, which nevertheless require more work to mature. The program committee may decide to accept some full papers as short papers. Full papers will be given a presentation slot in the conference, while short papers will be presented in the form of posters. All papers, regardless of size, will be given an entry in the conference proceedings. Authors may optionally include reproducibility information that allows for automated validation of experimental results (see artifact evaluation criteria). Accepted submissions passing automated validation will earn a prestigious “Results Replicated” Badge in the ACM DL in accordance with ACM’s artifact review and badging policy.

## DEMO PAPERS

Demo papers are up to 4 pages (including references and appendices). Proposals should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. Selection criteria for the demonstration proposals evaluation include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system. Demo papers will also be given an entry in the conference proceedings.

## Topics of Interest

Topics of particular interest include, but are not limited to, the following, as they relate to scientific and statistical data management:

Modeling of scientific data
Indexing querying scientific data, incl. spatial and temporal data
Provenance data management
Data integration and data provenance
Visualization and exploration of large datasets
Spatial, temporal and spatio-temporal scientific data
Geographical information retrieval - Stream data representation and management
Distributed systems and devices
Stream data analysis, e.g., summarization, statistical analysis, pattern matching and discovery, learning, and prediction
Design, implementation, optimization, and reproducibility of scientific workflows
Security and privacy - Cloud computing issues in large-scale data management
Information retrieval and text mining
System architectures
Case studies (e.g., astrophysics, climate, energy, sustainability, biomedicine)
IoT data analytics
Smart city applications and services