[Dbworld] **Final CFP** DAPD Journal Special Issue on Large-Scale Data Curation and Metadata Management

Distributed and
Parallel Databases

**Special Issue Call for
Papers**

Large-Scale Data Curation
and Metadata Management

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DAPD Journal Special Issue on
Large-Scale Data Curation and Metadata Management

Special Issue Link: https://www.springer.com/?SGWID=0-102-2-1316821-preview&dynamic=true

Submission deadline: March 1st,
2017

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Data curation and annotation are
essential mechanisms for capturing a wide variety of metadata related to data.

This metadata may carry different
semantics ranging from tracking the dataÕs lineage and provenance, quality

information, exchanging knowledge and discussion messages among
scientists, attaching related articles or documents,

linking to relevant statistics about the data, and
highlighting erroneous or conflicting values. This metadata may be

represented in many different formats including free-text
values, articles or binary files, images, structured

information such as provenance, or semi-structured content such
as email messages.

The creation and maintenance of
annotated databases and metadata repositories require a great deal of effort
(and cost)

from many scientists and domain experts. Yet, the gain
from the maintained annotations is still very limited, because

of the lack of comprehensive solutions that automate
large-scale metadata management tasks such as storage of annotations,

extracting information from large sets of annotations, and
their propagation through operations. Thus, the virtue of the

hidden knowledge in this metadata is still uncharted. The
growing volume, profound complexity, increasing heterogeneity,

and hidden semantics of emerging metadata repositories
create many unprecedented challenges. Unfortunately, existing

techniques are not well-prepared to deal with the
aforementioned characteristics, and they fall short in providing advanced

processing, semantics extraction, and deep analytics over the
such metadata.

In addition, the rapid evolution
of the big data infrastructure, e.g., MapReduce,
Spark, and NoSQL databases,

creates numerous challenges and research opportunities for
curation, annotation, and metadata management including

distributed metadata processing, metadata migration across
different infrastructures, provenance tracking

through complex workflows over possibly several platforms,
proactive curation techniques, and many others.

This special issue seeks original
and high-quality research articles, advancing the state of the art of

research in large-scale data curation and metadata
management. We encourage submissions in (but not limited to) the following areas:

á Metadata summarization, mining, and deep analytics

á Distributed data curation and metadata management

á Big data curation and annotation in emerging
infrastructures, e.g., MapReduce, Spark, and NoSQL engines

á Scalable metadata management and migration across
different infrastructures

á Metadata validation and verification

á Integration of metadata into the data's processing
and exploration cycle

á New annotation management and metadata models

á Proactive and automated data curation and annotation

á Metadata cleaning and quality control
strategies

á Metadata-driven query processing and optimizations

á Storage and indexing techniques for big metadata

á
Crowd-Sourcing
models for data curation and annotation

á
Scalable
metadata and provenance visualization

á Interoperability of metadata formats and
engines

Important Dates

á
Submission
deadline: March 1, 2017 (articles will be handled as soon as they are received)

á
First
author notification: June 1, 2017

á
Revised
articles due: July 20, 2017

á Final author notification: September 1,
2017

Guest Editors

á Mohamed Eltabakh ([email protected]), Assistant Professor, Computer Science
Department, Worcester Polytechnic Institute.

á Boris Glavic ([email protected]), Assistant Professor, Department of Computer
Science, Illinois Institute of Technology.

Submission

á Please
follow the general submission guidelines on the DAPD Journal.

á All papers will be reviewed following standard reviewing
procedures for the Journal.

á Papers must be prepared in accordance with the Journal guidelines:
www.springer.com/10619

á Submit manuscripts to: http://DAPD.edmgr.com

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