CALL FOR SUBMISSIONS
-= Open Dataset & Software Track at ACM MMSys 2019 =-
The Open Dataset & Software (ODS) Track has become a key part of the ACM
MMSys conference to facilitate sharing of data and code to allow others
to replicate research results to advance the field and improve
ODS will take place during the ACM Multimedia Systems Conference (MMSys)
June 18-21, 2019 in Amherst, Massachusetts, USA
Open Dataset & Software Track
Sharing data and code to allow others to replicate research results is
the ideal way to advance the field and improve multimedia systems. To
reach this goal, the “Open Dataset & Software Track” at MMSys provides
an opportunity for researchers and practitioners to make their work
available and citable, as well as to increase the 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, traces
reflecting network, user, or application behavior and performance, both
real or synthetic, but representative datasets, as well as software from
all aspects of production, coding, transmission, use, or analysis of
Together with the dataset or source code, authors are asked to provide a
short paper describing its motivation, design, and usage, as well as
discussing the way it can be useful to the community.
-The accepted papers will be included in the conference proceedings, and
will be given the appropriate ACM Reproducibility Badge (see:
-The accepted contributions will have the opportunity to be hosted in
the MMSys GitHub repository (source code) or in the ACM Digital Library
or Zenodo (datasets).
-The authors of accepted contributions will be invited to demonstrate
their open source software package or a demo application using their
dataset as part of the regular conference program. Papers should be
between four and six pages long (in PDF format) including references,
prepared in the ACM style and written in English. Authors do not need
to anonymize their submission due to the inherent difficulty of doing so
for source code and datasets.
Submission of a dataset: the authors should make it available by
providing a public URL for download.
Submission of an open software package: the source code, dependencies on
external libraries, and installation instructions must be available on a
public web page or in a publicly accessible software repository.
Additionally, the authors are requested to prepare a virtual machine
image on which the software is pre-installed and ready for use or host
the application online, unless the source code is self-contained and
easy to compile without requiring administrator privileges or the
installation of external dependencies. Please see  for instructions
on how to prepare a virtual machine image. The URL to the dataset or
software should be mentioned in the submitted paper. It is the author
responsibility to ensure that all datasets and source code are licensed
in such a manner that it can be legally and freely used, at the minimum
in academic and research settings.
Authors are encouraged to prepare as much documentation as possible to
accompany the proposed dataset or source code, including examples of how
it can be used by the public.
All submissions will be peer-reviewed by at least two members of the
technical program committee of MMSys 2019. Criteria of selection include:
-Datasets: The collection methodology and the value of the dataset as a
resource for the multimedia research community, including novelty and
added value compared to existing datasets.
-Software: The broad applicability and potential impact, novelty,
technical depth, and demo suitability of the proposed software, as well
as added value compared to existing solutions.
Submission Deadline: February 1, 2019
Notification of Acceptance: April 1, 2019
Camera Ready Deadline: April 19, 2019
Paper: 4-6 pages using ACM style format (single blind)
Dataset: URL to repository
Software: Virtual machine image and/or URL to repository
Online submission: https://mmsys2019ods.hotcrp.com/
For more information and updates please visit the ODS track website 
or contact the chairs ([log in to unmask]).
ODS TRACK CHAIRS:
Emir Halepovic (AT&T Labs – Research, USA).
Niall Murray, Athlone Institute of Technology.
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