Medical 3D Data Standards
IEEE Big Data Governance and Metadata Management (BDGMM)
Developing an interoperable data infrastructure through extensible governance and metadata lifecycle framework. BDGMM is an IEEE Industry Connections project created jointly by the IEEE Big Data Initiative and the IEEE Standards Association. Wo Chang, from the National Institute of Standards and Technology is the chair of BDGMM.
IEEE Workshop on Big Data and Metadata Management (BDMM '2017)
This workshop is partially aligned with the effort from the IEEE Big Data Initiative (BDI) on Standardization (see http://bigdata.ieee.org/) The BDI standard research group is studying on where there is a need and opportunity for developing IEEE Standards for Big Data Metadata and Management.
1st IEEE Big Data Initiative (BDI) Standards Workshop (BDISW)
The 1st IEEE Big Data Initiative Standards Workshop was held in collaboration with the IEEE Reliability Society's ISSRE 2015 conference at NIST Headquarters in Gaithersburg, MD on 2 November 2015. Through this workshop, IEEE BDI identified areas of need and opportunity for standardization of data-related technologies.
Please access workshop presentations below. Additional presentations are coming soon.
|Metadata Standard for Big Data Management||Alex Kuo and Yinglong Xia||
Our primary objective was to form a research group to study on where there is a need and opportunity for developing a Metadata Standard for Big Data Management.
|Download (PDF, 806 KB)|
|Mobile Health Platform||N. Keshava, C. Carey, D. Hudson, W. Malik||
The development of mobile technology as platforms for measuring physiological and behavioral parameters is a rapidly growing area. While there is great interest in using mobile technology platforms to collect persistent measurement, translating those measurements reliably into clinical insight is a major leap.
|Download (PDF, 94 KB)|
|Curation of EHRs for Reuse||N. Keshava, C. Carey, D. Hudson, W. Malik||
EHRs and payer/claims databases are a potential source of value to a wide variety of health care stakeholders. However, longitudinal patient records suffer from a wide variety of distortions ranging from missing data, gaps in coverage, inconsistent medical coding, and different standards of care. Moreover, different commercial vendors currently employ different formats and schema for collecting data.
|Download (PDF, 94 KB)|
|Data Representation in Big Data Management||Yinglong Xia, IBM Research||Represent massive data into a format based on (a set of) property graph models, with none or multiple proprietorial interactions among items Properties are organized as an extended JSON or YAML Properties can be partitioned for partial (de)serialization||Download (PDF, 10 MB)|
|Data Access Interface (API/Query Languages)||Yinglong Xia, IBM Research||Enhanced property graph access interface Derivative Key-Value Store API (vertices w/ non-nested 12-CRS- 0106 REVISED 8 FEB 2013 non-partitioned property) Derivative Column Store API (vertices w/ non-nested partitioned property) Derivative DocDB API (vertices w/ full property)||Coming Soon|
|Big Data Metadata Standards||Robby Robson, Eduworks Corporation||Big data presents large volumes of data in varied formats and types for analysis. To expose this data as a successful strategic information management initiative, its metadata must be suitably defined. This research helps information leaders to leverage metadata management in big data initiatives.||Download (PDF, 1.61 MB)|
|Wireless Sensor Networks and Big Data||Fernando Velez, University of Beira Interior, Portugal||Coming Soon||Coming Soon|
|Smart Grid and Big Data||Melike Erol-Kantarci, Clarkson University, NY||Coming Soon||Download (PDF, 2.16 MB)|
|Energy efficient Data Acquisition||Houbing Song, West Virginia University, WV||Coming Soon||Coming Soon|
|Green Datacenters and Big Data||Dzmitry Kliazovich, University of Luxembourg||Coming Soon||Coming Soon|
|Wireless & Device Big Data Analytics||Ye Ouyang, Verizon Wireless||Coming Soon||Download (PDF, 153 KB)|
|Mobile Big Data||Kan Zheng, Beijing University of Posts & Telecommunications, China||Coming Soon||Coming Soon|
|Big Data for 5G Networks||Ahmed Zoha, Qatar Mobility Innovations Center, Qatar||Coming Soon||Coming Soon|
|Mobile Cloud Computing (MCC) and Big Data||Constantinos Mavromoustakis, University of Nicosia, Cyprus||Coming Soon||Coming Soon|