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ACM SIGMM Interest List <[log in to unmask]>
Tue, 8 Jan 2019 15:29:15 +0100
Maha Abdallah <[log in to unmask]>
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Maha Abdallah <[log in to unmask]>
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-= 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 
multimedia systems.
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 [1] 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:

For more information and updates please visit the ODS track website [1] 
or contact the chairs ([log in to unmask]).

Emir Halepovic (AT&T Labs – Research, USA).
Niall Murray, Athlone Institute of Technology.