I talk to lots of information professionals about IT. Some have great relationships with IT, others not so great. But if you’re leveraging technology to build and maintain your collection and information/knowledge systems—and who isn’t?—then just like death and taxes, it’s inevitable that you’ll be working with IT.
This month I co-hosted a webinar on gamification with KM expert Stan Garfield. In this post I’ll share a few key takeaways that jumped out at me during the session.
I love the creativity now enhancing museums’ physical space. It gives me huge comfort to know that museums are on the forefront of creating experiences designed to inspire awe and wonder. A favorite of mine is the “Levitated Mass” at the Los Angeles County Museum of Art.
In my last post I discussed problems with the shared drive and SharePoint as knowledge management solutions. With these systems adoption is high (everybody is in the pool) because they are simple, but due to lack of an information management strategy the content is often a mess.
In this post, I’ll discuss strategies for building successful KM systems that achieve high adoption while simultaneously providing access to organized content. In other words, throwing a KM Pool Party that isn’t a hot mess.
The most common KM tool for sharing documents and other items with colleagues is the shared drive. But why is that, and is it really such a good idea?
In my first post on this topic, I looked at the fundamental flaw in self-driving cars – the inability to respond to the unexpected, such as suddenly encountering a lady and a duck in the middle of the road. As mentioned, this story is very applicable to the way we build our knowledge management systems and information centers.
If you have been following the developments, dreams, and travails in the quest to build a self-driving car, you may have heard the story about the lady with a duck. I think this story has great applicability as we build our knowledge management systems and information centers.
In my first post on the changing habits of information consumers and the changing role of information professionals as part of the knowledge supply chain, I shared examples of increasing complexity, underpinned by technology and changes in personal preference. In this post, let’s take a look at the third paradigm (KM 3.0) and see what it means for the sustainability and relevance of knowledge managers and special librarians.
As I was finishing last week’s successful webinar on KM Pitfalls with Stan Garfield, an audience member asked a question about Enterprise Social Networks and their value. It made me think about Lucidea CEO Ron Aspe’s blog post on the ways in which information consumption is changing, and has changed over time - and how our personal habits are a key driver of this change. Let me explain…
I was speaking with a client the other day about faceted search. (For more information on that subject see my recent blog post “A Firm Foundation for Faceted Search.”) We discussed the need for well-organized and well-structured data to support useful faceted searching. The client challenged that need, and stated she had read and been told that some forms of search require no data preparation and will work with completely unstructured data.