Sharing data and code to allow others to replicate research results is the ideal way to advance the field. To reach this goal, the Open-source Software and Datasets Track provides an opportunity for researchers and practitioners to make their work available and citable as well as to increase public awareness of their considerable efforts.

Those who have created a new dataset or open-source software package that is relevant to the multimedia community should consider submitting it to this track. This includes, but is not limited to, software and datasets relevant to both traditional and emerging areas, network traces, user or application behavior and performance (real or synthetic), as well as software from all aspects of production, coding, transmission, use, or analysis of multimedia systems. Together with the dataset or source code, authors are asked to also provide a short paper describing the motivation and design, and discussing how it can be useful to the community.

Criteria of acceptance include the soundness of the collection methodology and the value of the dataset as a resource for the multimedia research community, or the broad applicability and potential impact, novelty, and technical depth of the software. The accepted papers will be given the appropriate ACM artifact review and badging, included in the conference proceedings, and presented/demonstrated during the conference.

Note that it is the authors' responsibility to ensure that all datasets and source code are licensed in such a manner that they can be legally and freely used, at the minimum in academic and research settings (e.g., GPLv2, LGPLv2, BSD, BSD + patents, or equivalent license).