Measuring the value of information

This post discusses the importance of measuring the value of information. The post states that Information has been referred to as today’s digital currency. Without it, both tech and non-tech enterprises would struggle to exist. Yet it still isn’t recorded on balance sheets and is — in general — ignored by insurance companies …Today, there is no correlation between market valuations and a company’s own book value because unvalued information assets don’t appear on the balance sheets. It seems to me that this discord is a direct result of our inability to measure and value the information assets a company holds. The author suggests that a standardized way of measuring the value of information is needed; unfortunately, no specific suggestions are provided. This, of course, means a good opportunity for the information management field to step up with solid research in this area.

Trends in geospatial information management

Geospatial Information (GIS) Management is outside my bailiwick, but I have the good fortune to work with colleagues who specialize in this area, thus my interest in this post, which discusses trends in GIS. The original document summarized in this post was written by the United Nations Committee of Experts on Global Geospatial Information Management. A big trend that has an impact on metadata is the growing need for, and importance of, the interoperability of different data formats to ensure the proper exchange of information. In the field of metadata, we’ve been looking at linked data, linked open data, and data operability for a number of years. The post doesn’t use the term “metadata,” but this concept is crucial to allow for seamless data exchange and retrievability. A good reference example is Towards a Linked Geospatial Data Infrastructure. 

Ten priorities for Chief Information Officers

In this post, Jessica Davis summarizes the trends that emerged from NASCIO’s 2016 state survey of chief information officers:

  1. Agile development
  2. Outsourcing
  3. Cloud computing
  4. IT workforce
  5. Modernization of legacy systems
  6. Data management and analytics
  7. Consolidation
  8. Cross-jurisdictional collaboration
  9. Mobility
  10. Security

Approaches to governing data

In this post,  Robert S. Seiner, publisher of The Data Administration Newsletter (TDAN), summarizes, compares, and contrasts the following approaches to data governance:

  1. The Command and Control approach,
  2. The Traditional approach, and
  3. The Non-Invasive approach.

The matrix below provides a useful overview of each approach:

 

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