CDQ Young Talent Award

 CDQ Young Talent Award  - Turn in your master thesis on Corporate Data Management

In the digital and data-driven economy, organizations consider data as strategic assets. Compared to other assets, however, they still lack appropriate strategies, methods and tools to professionally manage data. The CDQ Young Talent Award recognizes an outstanding master’s thesis that advance the field of corporate data management. Submissions from different research fields are welcome, ranging from business and economics to information systems, computer science and to law.

Topics may include, but are not limited to:

Data-centric business models and innovation (data as a service) ǀ Data quality challenges and assessment ǀ Valuation and monetization of data ǀ Data governance, processes and organization ǀ Open and linked data ǀ Data architecture ǀ Data life-cycle management (customer, products, assets etc.) ǀ Data lineage and data supply chains ǀ Semantic integration and ontologies ǀ Collaborative data management in eco-systems and value chains

Who can apply?

Get to know if you are allowed to join the competition

  • Students who have completed their master’s thesis
    • in the field of corporate data management,

    • at a University in Germany, Switzerland, Austria, or Liechtenstein

    • between August 2016 and December 2017.

Why you should I participate?

Here’s a list of the reasons why you should participate in the competition:

  • You get acknowledgement for your thesis and a prize of 1000 CHF
  • You are entitled to participate at the CDQ Academy consisting of three course modules on corporate data management with a value of more than 6000 CHF 
  • You are invited to join the CC CDQ Workshop (21/22 February 2018 in Zurich) and meet data management experts from CDQ partner companies such as ABB, Beiersdorf, Bosch, Nestlé, SBB, Siemens, ZF.

How can I apply?

Please submit the following documents in PDF format to the email address :

  • Master’s thesis
  • Recommendation from the supervising professor
  • Motivation letter explaining the relevance of the master thesis to corporate data management
  • CV

Deadline for submission is the 15th of December 2017

What are the selection criteria?

  • Scientific excellence: The Master’s thesis is based on the current state of knowledge, uses appropriate methodology and the research has been conducted in a scientifically rigorous way.
  • Innovation: The Master’s thesis supports a new way of working or pioneers an original change in data management. It stimulates new thinking, or lays the foundation for further innovation.
  • Relevancy to practice: The Master’s thesis result has potential business value and supports the transformation towards the digital and data-driven enterprise

Who evaluates my submissions?

The jury consists of the following highly recognized data management experts from industry and academia:

  • Prof. Dr. Christine Legner, HEC Lausanne - Faculty of Business and Economics of the University of Lausanne (Chair of the jury)
  • Prof. Dr. Helmut Beckmann, Electronic Business Institute, Hochschule Heilbronn
  • Prof. Dr. Boris Otto, Fraunhofer ISST & TU Dortmund
  • Prof. Dr. Gerhard Satzger, Karlsruhe Service Research Institute, KIT
  • Andreas Schierning, experienced data management professional
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