November 16, 2020, Yokohama, Japan

Data: Acquisition to Analysis

A SenSys/BuildSys 2020 Workshop


The workshop will be held in virtual format, more details will be provided later.



Check Call for Papers for information on submission!


As the enthusiasm for and success of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and Smart Buildings grows, so too does the volume and variety of data collected by these systems. How do we ensure that this data is of high quality, and how do we maximize the utility of collected data such that many projects can benefit from the time, cost, and effort of deployments?

The Data: Acquisition To Analysis (DATA) workshop aims to look broadly at interesting data from interesting sensing systems. The workshop considers problems, solutions, and results from all across the real-world data pipeline. We solicit submissions on unexpected challenges and solutions in the collection of datasets, on new and novel datasets of interest to the community, and on experiences and results—explicitly including negative results—in using prior datasets to develop new insights.

The workshop aims to bring together a community of application researchers and algorithm researchers in the sensing systems and building domains to promote breakthroughs from integration of the generators and users of datasets. The workshop will foster cross-domain understanding by enabling both the understanding of application needs and data collection limitations.


The workshop seeks contributions across two major thrusts, but is open to a broad view of interesting questions around the collection, dissemination, and use of data as well as interesting datasets:

The collection and use of data

  • - Challenges and solutions in data collection, especially around security and privacy
  • - Expectations and norms for data collection from sensor networks, especially those that involve human factors
  • - Novel insights from existing datasets
  • - Metadata management for complex datasets
  • - Synthetic data, including its generation, application, and utility
  • - Success stories—key properties of useful datasets and how to generalize these
  • - Preprocessing, cleaning, and fusing datasets
  • - analysis and visualization of the data
  • - Shortcomings of prior datasets—and how to address these in the future
  • - Position papers on policies and norms from experimental design through data management and use are explicitly welcomed

New and interesting datasets, including but not limited to:

  • - Shopping related sensing data
  • - Animal related data or sensed data
  • - Anonymized health, or synthetic health related data
  • - Indoor localization, especially unprocessed/unfiltered physical layer measurements
  • - Smart building, occupancy, motion data, energy, human comfort, vibration, BIM
  • - Vehicular, GPS, cellular, or wifi traces and remote sensing
  • - Reproductions of prior work that validate, refute, or enhance results
  • - Anonymized contact tracing, interaction and exposure notification data

To enable the longevity of submitted datasets, 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.

Submission Guidelines

Submissions may range from 1-5 pages in PDF format, excluding references, using the standard ACM conference template. Submissions are strongly encouraged to use only as much space as needed to clearly convey the significance of the work—we fully expect many submissions, especially datasets, to use only 1-2 pages, but wish to allow those interested in fully elucidating positions on data collection and use or insights from reproducibility efforts ample space to do so. Submissions should use only as much space as necessary to clearly convey their ideas and contributions.

Dataset submissions should prefix paper titles with “Dataset: “ and must include a description of the dataset as well as a reasonable accompanying data sample. Once accepted, a full described dataset must be shared to a public repository by the camera ready deadline. Issues on licenses will be resolved by generally following the procedure similar to CRAWDAD ( and special treatments, if needed, will be discussed separately with the TPC chairs. The dataset submission must submit a link to the dataset at the time of submission.

Datasets will be reviewed by an artifact evaluation committee. To support this, dataset submissions must include:

  • - A link to the full dataset (not just a single sample) at the time of submission
  • - An example analysis or result from the dataset (what kind of insights might folks glean?)
  • - Steps to run an analysis on the dataset, e.g.
    • - A graph and the steps (sample code) to generate the graph
    • - A video demonstrating access and manipulation of the data or execution of queries and results on the data
    • - Other evidence or demonstration of how the dataset can be accessed and used

The evaluation committee will work with sumbitters to ask clarifying questions, etc. The goal is not to be a barrier to submission, but instead to help make sure datasets are usable and useful for folks in the future.

Each accepted submission is required to have at least one author attend the workshop and present to the workshop attendees.

Important Dates

Submission deadline: TBD

Notifications: TBD

Camera-ready: TBD

Useful links



Co-Chairs & TPC Chairs

Gabe Fierro University of California, Berkeley

Mostafa Mirshekari Stanford University

Pat Pannuto University of California, Berkeley

Yang Zhao GE Research

Steering Committee

Jie Gao Stony Brook University

Pei Zhang Carnegie Mellon University

Flora Salim RMIT University

Mikkel Baun Kjærgaard University of Southern Denmark

Shijia Pan University of California, Merced

Pat Pannuto University of California, Berkeley

Prabal Dutta University of California, Berkeley

Jie Liu Harbin Institute of Technology

Chien-Chun Ni Yahoo! Research

Haeyoung Noh Carnegie Mellon University


Shiwei Fang University of North Carolina at Chapel Hill

Technical Program Committee

Romain Jacob ETH Zurich

Nipun Batra IIT Gandhinagar

Deepak Vasisht University of Illinois Urbana-Champaign

Rachel Cardell-Oliver University of Western Australia

Zoltan Nagy University of Texas at Austin

Jorge Ortiz Rutgers University

Branden Ghena Northwestern University

Clayton Miller National University of Singapore

M. Hadi Amini Florida International University

Dezhi Hong University of California, San Diego

Rong Zheng McMaster University

Trevor Pering Google

Shiwei Fang University of North Carolina at Chapel Hill

Javad Mohammadi Carnegie Mellon University

Artifact Evaluation Committee

Colleen Josephson Stanford University

Jonathon Fagert Carnegie Mellon University

Adeola Bannis Carnegie Mellon University

Dhiman Sengupta University of California, San Diego

Nishant Bhaskar University of California, San Diego

Yue Zhang University of California, Merced


The 3rd DATA workshop is part of (co-located with) SenSys/BuildSys 2020.

For venue details, visa information, etcetera please visit the SenSys venue page.