10 Rules of Effective Information Management

Effective information management is important and difficult task. There are many systems to integrate, a huge range of business needs to meet, and complex organizational (and cultural) issues to address.

The aim of this article is to give a number of essential success factors for information management projects. These do not provide an comprehensive list, but offer a series of rules that can be used to guide the planning and implementation of information management activities.

  1. recognize (and manage) complexity
  2. focus on adoption
  3. deliver tangible & visible benefits
  4. prioritize according to business needs
  5. take a journey of a thousand steps
  6. provide strong leadership
  7. mitigate risks
  8. communicate extensively
  9. aim to deliver a seamless user experience
  10. choose the first project very carefully

Information Management

Improving effectiveness of information management practices is a main focus for many organizations, through both the public and private sectors. In many cases, the term "information management" has a meaning of new technology solutions deployment, such as content or document management systems, data warehousing or portal applications.
Information management' is an umbrella term that encompasses all the systems and processes within an organization for the creation and use of corporate information.

In terms of technology, information management contains the following systems:

  • web content management (CM)
  • document management (DM)
  • records management (RM)
  • digital asset management (DAM)
  • learning management systems (LM)
  • learning content management systems (LCM)
  • collaboration
  • enterprise search
  • etc.

Metadata Types in Digital Asset Management

There are many different types of metadata, some of which may have a formal structure and content, and some informal with no structure or consistency. From the file size or date of modification displayed by Windows, through the information about a book held in a library catalogue, to the statement of copyright (©) denoting ownership, people are accustomed to the idea of information about an object being associated with it.

In the context of a digital asset management strategy, metadata contains the fundamental information components of asset retrieval and management. It is the record about the asset and its contents.

"Metadata: Data about other data, commonly divided into descriptive metadata such as bibliographic information, structural metadata about formats and structures, and administrative metadata, which is used to manage information." From the 1999 manuscript of Digital Libraries, by William Arms, ©2000 M.I.T. Press.

There are a variety of types of metadata:

  • Bibliographic (e.g. "a picture of the Eiffel tower taken by Bob")
  • Administrative (e.g. "taken on 19/04/2005")
  • Legal (e.g. "all rights reserved")
  • Preservational (e.g. "requirement to view as jpeg")
  • Technical (e.g. "jpeg format" ; "85.8kb file")
  • Educational (e.g. "an illustration of construction using cast iron"; "UK Education Level 11")
  • Structural (e.g. "single file")
Within the development of a digital asset management strategy there has to be an assessment of what metadata are required to achieve the proposed purpose of the system, how these requirements can be supported by the use of, or interaction with, common standards, and how the quality of this metadata can be assessed and improved. The decisions around generation of metadata tie in with the wider questions of workflows for asset management and the interoperability of the system with other systems and services.