[dbjapan] CFP: Workshop on Polystore systems for heterogeneous data in multiple databases with privacy and security assurances (In conjunction with VLDB 2020)

[makoto onizuka <onizuka [at] ist.osaka-u.ac.jp>]

日本データベース学会のみなさま，

阪大の鬼塚です．

東京で開催される国際会議 VLDB2020 の併設ワークショップ
　Poly'20: Polystore systems for heterogeneous data in multiple databases 
with privacy and security assurances
のご案内です．
データ発見，データ統合，データクリーニング，プライバシーに関する研究を広く公募します．
詳細は以下のようになっておりますので，ご投稿をご検討頂けますようよろしく
お願いいたします．
Workshop site: https://sites.google.com/view/poly20/home
Submission deadline   August 5, 2020

CALL FOR PAPERS

Poly'20: Polystore systems for heterogeneous data in multiple databases 
with privacy and security assurances

Co-located with VLDB 2020
Conference date: August 31, 2020
Location: Tokyo, Japan (Virtual)
Website: https://sites.google.com/view/poly20/home

Important Dates (Extended):
July 15, 2020: Due date for full workshop papers submission
August 1, 2020: Notification of paper acceptance to authors
August 5, 2020: Camera ready version of workshop papers
August 31, 2020: Workshop (will be virtual)

Introduction:

Enterprises are routinely divided into independent business units to 
support agile operation. However, this leads to "siloed" information 
systems. Such silos generate a host of problems, such as:

-DISCOVERY of relevant data to a problem at hand. For example: Merck has 
4000 (+/-) Oracle databases, a data lake, large numbers of files and an 
interest in public data from the web. Finding relevant data in this sea 
of information is a challenge.
-INTEGRATING the discovered data. Independently constructed schemas are 
never compatible.
-CLEANING the resulting data. A good figure of merit is that 10% of all 
data is missing or wrong.
-ENSURING EFFICIENT ACCESS to resulting data. At scale operations must 
be performed "in situ", and a good polystore system is a requirement

It is often said that data scientists spent 80% (or more) of their time 
on these tasks, and it is crucial to have better solutions.

In addition, the EU has recently enacted GDPR that will force 
enterprises to assuredly delete personal data on request. This "right to 
be forgotten" is one of several requirements of GDPR, and it is likely 
that GDPR-like requirements will spread to other locations, for example 
California. In addition, privacy and security issues are increasingly an 
issue for large internet platforms. In enterprises, these issues will be 
front and center in the distributed information systems in place today.

Lastly, enterprise access to data in practice will require queries 
constructed from a variety of programming models. A "one size fits all" 
mentality just won't work in these cases.

At IEEE BigData'16, BigData'17, VLDB'18, and VLDB'19 we organized 
workshops on Polystore systems. These successful workshops brought 
together experts from around the world working on novel advances in the 
field. Poly'20 will continue to focus on the broader real-world 
polystore problem, which includes data management, data integration, 
data curation, privacy and security. In the past, conference proceedings 
have been published as a part of the Springer Lecture Notes in Computer 
Science. This year's workshop will be virtual.

Research topics included in workshop:
*Research Topics Included:
*Privacy, Security, and Policy in heterogenous data management.
*Languages/Models for integrating disparate data such as graphs, arrays, 
relations
*Query evaluation and optimization in polystore and other multi-DBMS systems
*Efficient data movement and scheduling, failures and recovery for 
polystore analytics
*High Performance/Parallel Computing Platforms for Big Data
*Data Acquisition, Integration, Cleaning, and Best Practices
*Privacy and Access control in Polystore and multi-DBMS systems
*Enterprise support for GDPR and similar privacy regulations
*Policy implications of GDPR and similar privacy regulations
*Mathematics for Polystore and other multi-DBMS systems
*Demonstrations of new tools and techniques for heterogeneous data

Submissions:
Please visit: https://sites.google.com/view/poly20/submission

Workshop Organizers:
Vijay Gadepally, MIT Lincoln Laboratory
Danny Weitzner, MIT Internet Policy Research Initiative
Michael Gubanov, FSU
Edmon Begoli, ORNL
Dimitris Kolovos, University of York
Amarnath Gupta, UCSD
Ratnesh Sahay, AstraZeneca
Rada Chirkova, NCSU
Sam Madden, MIT
Tim Kraska, MIT
Timothy Mattson, Intel Corporation
Michael Stonebraker, MIT
Makoto Onizuka, University of Osaka