Data 2018 - First International Workshop on Data: Acquisition To Analysis

Sensor systems are proliferating in many parts of research such as Internet of Things (IoT) and Cyber-Physical Systems (CPS). This proliferation has led to an explosion of activity in many applications that cover a multitude of areas. As these research progresses, sharing of data has become a frequent bottle neck in showing repeatability and allowing follow up research from the community.
The Data: Acquisition To Analysis (DATA) workshop aims to solicit datasets and tools from past and current sensor deployments and data gathering efforts. The workshop aims to bring together the community of application researchers, and algorithm researchers in the sensing systems domain to promote breakthroughs from the integration of the communities. The workshop will foster cross-domain understanding by enabling both the understanding of algorithmic needs and data collection limitations.
The workshop seeks contributions describing original datasets in all topics related to the sensor networks, IoT and CPS. Topics of interests include, but are not limited to, the following:
Shopping-related sensing data
Animal-related data or sensing data
Anonymized health, or synthetic health-related data
Indoor localization, WiFi, UWB, lidar,
Smart building, vibration, BIM, occupancy, motion
Vehicular, GPS, cell, WiFi,
Tools for generating synthetic data.
To enable the longevity of the data, we plan on providing a central location where a repository for the data, and information about the data can be archived for at least 5 years.
**** Important dates ****
Submission deadline: Aug 16, 2018.
Notifications: Sep 1, 2018.
Camera-ready : Sep 14, 2018. (same as the deadline for Demo/Posters)
Workshop: Nov 4, 2018.
**** Submission Guidelines ****
We invite to submit abstracts in PDF format with ACM templates (submit notes), of at most 2 pages in length including figures, tables, and references, in a two-column format and using a minimum of the 10-pt font. Suitable templates are available at the workshop website. Issues on licenses will be resolved by generally following the procedure similar to CRAWDAD (https://crawdad.org/joinup.html) and special treatments, if needed, will be discussed separately with the TPC chairs. If IRB approval has been obtained for the data collection procedure, please include such information in the submission.
Workshop Organizers:
Jie Gao, Stony Brook University, USA
Pei Zhang, Carnegie Mellon University, USA
TPC Chairs:
Shijia Pan (CMU)
Chien-Chun Ni (Yahoo Research)
Program Committee:
Trevor Pering (Google)
Pat Pannuto (UC Berkeley)
Yingying Chen (Rutgers)
Josiah Hester (Northwestern)
Mooi Choo Chuah (Lehigh)
Desheng Zhang (Rutgers)
Jun Huang (Peking University)
Hassan Habibi Gharakheili (UNSW)
Olaf Landsiedel (Chalmers)
Rui Tan (NTU)
Simon Duquennoy (SICS)
Haiming Jin (Shanghai Jiao Tong University)