I consider Dr. Aiken to be a leading authority in the general area of Data Management... I think that the proposed work would be well-accepted by the noted audience. As a practitioner, I would personally be interested.
James Bean, CEO Relational Logistics Group

XML is an important complement to, not replacement for, well-defined, disciplined data management processes, and a well-conceived and executed data exchange layer. Peter Aiken and David Allen bring these points into focus. They define the yin and yang of XML and data management. They help seperate the hype from the reality. And they equip a manager to make better choices moving forward.
Thomas C. Redmon, Ph.D., President, Navesink Consulting Group

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data management.

Features:
* Takes a data-centric view of XML.
* Explains how, when, and why to apply XML to data management systems.
* Covers XML component architecture, data engineering, frameworks, metadata, legacy systems, and more.
* Discusses the various strengths and weaknesses of XML technologies in the context of organizational data management and integration.

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data management.

To view a sample chapter and read the Foreword by Thomas C. Redman, visit http://books.elsevier.com/mk/?isbn=0120455994

* Takes a data-centric view of XML.
* Explains how, when, and why to apply XML to data management systems.
* Covers XML component architecture, data engineering, frameworks, metadata, legacy systems, and more.
* Discusses the various strengths and weaknesses of XML technologies in the context of organizational data management and integration.

XML For Data Managers is an overview book aimed specifically at professionals in data administration, engineering, and architecture. For most data managers, XML is either just a buzzword that is ignored or a silver bullet to be used in every possible nook and cranny of their organization. The truth is in-between. This book provides the guidance necessary for data managers to make measured decisions about the most appropriate use of XML within their organizations, discussing its various strengths and weaknesses. The most unique and important feature the book is that it takes a data centric approach and speaks to data managers in their own language. It addresses these challenges directly without sugar-coating the answers. This book covers the practical application of XML, it’s component architecture, and its strategic implications.

Great Book!
This book is a good read and full of great real world examples and referencing of products. It is valuable for both managers and individual contributors in functional IT organizations such as data administration, data management, database management, application development, strategic planning. I highly recommend it.