[DL] IEEE NIST Big Data PWG Workshop on Big Data: Challenges, Practices and Technologies

[Call For Papers]

Call for Participation
IEEE NIST Big Data PWG Workshop on Big Data: Challenges, Practices and
Technologies

The NIST Big Data Public Working Group (NBD-PWG) is sponsoring a Workshop
on “Big Data: Challenges, Practices and Technologies” at the IEEE Big Data
Conference to be held October 27-30, 2014 in Washington, DC.
NIST has been facilitating the NBD-PWG to form a community of interest from
industry, academia, and government, with the goal of developing a consensus
definitions, taxonomies, reference architectures, and technology roadmaps.
 The aim is to create vendor-neutral, technology and infrastructure
agnostic deliverables to enable Big Data stakeholders to pick-and-choose
best analytics tools for their processing and visualization requirements on
the most suitable computing platforms and clusters while allowing
value-added from Big Data service providers and flow of data between the
stakeholders in a cohesive and secure manner.
The purpose of this Workshop is to promote discussion among different
working groups addressing different aspects of the emerging Big Data
paradigm.  We would like to invite other working groups to present the
results of their works/discussions to enable working group information
exchange, as well as providing an overall picture to the conference
community (both technical and business participants) of the current state
of the Big Data discipline.
Logistics: We’re considering two Workshop sessions (morning or afternoon),
with 2-3 panels over a 3 hour period. For each panel we will be looking for
5-6 panelists. Our format will be short presentations by the panelists in
the first half of the session, and audience discussion in the second half.
IEEE conference registration will be required.
The IEEE NBD-PWG Big Data Workshop has two general aims: (1) stimulate both
knowledge diffusion from the research and emerging technology communities
and (2) present case studies reflecting significant challenges in current
Big Data problem scenarios.

IEEE NBD-PWG Workshop At A Glance

Location: Washington, DC
Conference Dates: October 27-30, 2014
IEEE Main Conference Web Site: http://cci.drexel.edu/bigdata/bigdata2014
IEEE NBD-PWG Workshop Web Site: http://bigdatawg.nist.gov/ieee.php
Deadline for panelist and topic proposals: August 8, 2014, notification:
Aug. 15, 2014
Deadline for Proceedings Paper Submissions: September 1, 2014
Panel teleconference to discuss presentations: Ad hoc in late Sept or early
Oct
Submission address: IEEE_BDWS at nist.gov
Toward this end, the IEEE NBD-PWG Workshop will have coverage for two
categories of contributions:
● Big Data technology provider and researcher working groups
(“Technologists”)
● Practitioner working groups  immersed in significant Big Data problem
spaces (“Practitioners”)

Ideally, we would like to strike a good balance of both in every panel, in
order to have a meaningful dialogue between complementary perspectives.
The intent is to have presentations/discussions on the overview of this
emerging discipline. The panelists should present a contextual overview of
the topic, not presentations of the details of a specific project. Specific
projects will be covered in the IEEE conference Industrial Track.
For this IEEE Workshop, the plan is:
(1) Prospective panelists/working groups must submit a proposal to
participate by August 8, 2014. The contents of this proposal are given
below.
(2) Panelists will be notified by August 15, 2014. The times for the panels
will be determined as quickly as possible working with the IEEE program
committee.
(3) Accepted panelists/working groups must prepare a 2-3 page paper
(following IEEE format) as a way to describe your working group,
consortium, or initiative. The deadline for submissions is September 1,
2014. This camera-ready submission will be in the conference proceedings.
Sample proceeding paper is at: (
http://www.ieee.org/publications_standards/publications/conferences/2014_04_msw_usltr_format.doc
)
(4) At the Workshop, each panelist will make a brief presentation (~7-8
minutes) and then participate in a moderated question-and-answer period.
(5) The Workshop organizers will produce a Workshop summary for publication
by IEEE. The summary will be available through the IEEE digital library.

To submit a proposal for participation, identify a panel subtopic from the
appropriate list, or suggest a more appropriate panel topic. Then determine
whether you wish to participate as a Technology Provider Working Group, or
as a Technology Consumer/Practitioner Working Group. When submitting a
proposal, use the appropriate template – Provider or Consumer – as given
below.

The candidate list of panels (in no particular order) is:
1. Current Practice and Lessons Learned
This panel would focus on use cases for current projects and perspective on
the challenges that were addressed in different domain. This is a “state of
the practice” panel, and is not intended as a description of a specific
project, but that project in the bigger context of this new field.
Technology Working Groups: Technology working groups for specific
verticals, such as, medical information systems, retail inventory systems.
Practitioner Working Groups: Use case verticals such as medical, financial,
retail.
2. Technology Landscape
This panel would focus on the technical issues that have arisen due to the
distribution of the data across resources. This would cover the theoretical
patterns of current tools, but not the details of a specific tool. This
would cover the new paradigm, encompassing topics from data management to
analytics, and the applicability of existing standards.
Technology Working Groups: Organizations describing Big Data Frameworks and
Architectures
Practitioner Working Groups: Application providers such as analytics,
searching and reporting, SaaS and so on.
3. Business and Government Needs
This panel would focus on the technical needs that are not currently being
addressed, current initiatives for better knowledge transfer, and future
data sharing concerns.
Technology Working Groups: Framework, application, and solution providers.
Practitioner Working Groups: Verticals from Industry and Government.
4. Security and Privacy
The distribution of data across resources, and the involvement of a number
of organizations in one system open up new concerns for security and
privacy. This panel will focus on the areas that are new and different
because of the big data architectures.
Technology Working Groups: Security technology industries, privacy and
security consortia and academicians researching privacy frameworks and
privacy enhancing technologies, such as cryptography.
Practitioner Working Groups: Verticals and web technology industries
interested in using and deriving knowledge from big data.
5. The Road Forward
This panel would discuss the next steps in big data adoption, how to
measure the maturity of current big data activity, and how to strategically
move into this new field. This panel will also address the needs for
standards in this discipline.
Technology Working Groups: Framework, application and solution providers.
Practitioner Working Groups: Industry verticals and government.
6. Global Data Sharing and Reuse for analytics
This panel would be focused on frameworks for improving data sharing. For
example a number of initiatives are focused on sharing geospatial data,
weather data, landform data, smart grid data, etc.
Technology Working Groups: Data-as-a-Service Platforms, Semantic Data
Integration Technologies
Practitioner Working Groups: Earth Sciences, Geo-spatial mapping,
Smart-grid, financial data



Questions and Submissions:
Direct questions and submissions to IEEE_BDWS at nist.gov, to email to the
Workshop committee:
Wo Chang (NIST), Nancy Grady (SAIC), Arnab Roy (Fujitsu), Mark Underwood
(Krypton Brothers)


Technology Provider / Researcher Proposals for Panel Participation
Who should use this template?
● Academicians,
● Data Scientists and
● Providers of Big Data technology solutions.

Subtopics
Panels may be convened from these topic areas:
● Big Data veracity, provenance, data quality, metadata
● New or revisited models for integrating streaming data
● Big Data machine learning, predictive analytics
● Revived, revisited, rejected or resurrected research threads from
distributed, grid, VLB computing
● Technology solutions for cross-border compliance
● New approaches to Big Data security, privacy or risk management
● Unique, unusual or new concepts for Big Data in cloud, hybrid and
on-premises
● Graph databases
● Research directions into new patterns (such as analytics direct to HDFS)

Proposal Sections
1. Title
2. Point of Contact (Name, affiliation, contact phone, contact email
address)
3. Working group URL
4. Proposed panel topics
5. Abstract
6. Working group overview
7. Number of Participants, date working group began, frequency of meetings
8. Target audience
9. Prior or foundational research / technology
10. Ongoing research / technology by others
11. (Optional, for solution providers) Features and benefits of a
technology solution, e.g., interoperability, scalability, compatibility
with existing standards
12. Relevance of the current / proposed approach to Big Data challenges
13. Anticipated or recommended changes to design patterns
14. Metrics and usability considerations
15. Keywords



Consumer, Manager, Domain Expert Proposals for Panel Participation
Who should use this template?
This template is appropriate if your position paper concerns:
● A producer of Big Data
● A consumer of Big Data
● An expert in a domain that produces Big Data
● A custodian or manager of Big Data sets
● Technology gaps that impair access to benefits of Big Data
Panel Subtopics
Panels are contemplated from these topic areas:
● Expected impact of the Internet of Things
● Unmet Big Data requirements
● Specific issues for government, science Communities of Interest
● Hybrid solutions including traditional RDBMS elements
● Impact on legacy applications, such as ERP, supply chain
● Evolving changes to master data management
● Impacts on data centers and their managers
● Success stories or cautionary tales with Big Data technology products
and/or solutions which identify patterns, strengths, weaknesses in current
practices and tools
● Privacy and security: best practices, threats, countermeasures, risk
management, compliance
● Standardization uses and needs
Proposal Sections
1. Title
2. Point of Contact (Name, affiliation, email address, phone)
3. Working Group URL
4. Proposed panel topic
5. Abstract
6. Working Group summary
7. Number of Participants, data working group began, frequency of meetings
8. Target Audience
9. Current initiatives
10. Specific Big Data Challenges: Volume, Variety, Velocity, Veracity /
Provenance, Visualization, Analytics, software tooling, usability,
scalability, ETL / ELT, security, privacy, risk management
11. Urgent research needs
12. Related Projects or Artifacts
13. Big Data metrics (describe your data to make a Big impression)
14. Keywords


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