Knowledge Management Assessments
When developing a new KM program, we strongly recommend kicking off the process by first taking stock of the current environment.
Knowledge Management (KM) assessments are designed to do just that: they are a way to get a complete picture of the current state of KM practices within an organization, department or team.
What is a Knowledge Management Assessment?
A Knowledge Management (KM) assessment is the process of capturing the current state of KM within an organization or department. The assessment process should be designed to solicit input from a representative group of staff and other key stakeholders to identify:
- What's working and what's not
- Pinpoint where knowledge flow bottlenecks are occurring
- Good practices for knowledge capture and knowledge sharing that can be built upon
- Potential early adopters or champions for KM
- How technology is being used to enable knowledge sharing -- or how it is hindering knowledge sharing
- Elements of organizational culture and structure that present barriers to effective knowledge management
Findings from KM assessments are often surprising; what was assumed to be a technology problem is often tied to organizational culture, day-to-day practices, or how cross-functional teams work together. Undergoing a KM assessment can be extremely beneficial in helping groups develop a shared understanding of and common vocabulary to describe what's working and what's not.
KM assessments act as a springboard upon which future efforts are built, so it is beneficial to pull back and conduct an in-depth analysis of the current environment before trying to envision what the future might look like.
Since we want to be certain that a new KM strategy addresses the right issues, it's important to have a solid foundation upon which to start.
Or contact us to get started with a Knowledge Management Assessment:
Knowledge Management Resources:
The Dark Side of Open DataArticle by Eric Hinsdale and Abby ClobridgeOnline Searcher - Volume 42, Number 6 (November/December 2018)From the article: The environment around research data management and open data has become incredibly complex—and the evolution doesn’t appear to be slowing down at all. At the core of many of today’s challenges are machine learning, natural language processing, and predictive analytics—the methods used for processing tremendous quantities of data...
Six Months of Pioneering Data Protection and Privacy with the GDPR Europe's General Data Protection Regulation (GDPR) just passed its six month milestone. Not surprisingly, most organizations aren't yet in compliance, but one key takeaway is that good-faith efforts towards compliance are worth investing in. From the Information Today article by Kelly LeBlanc: "As Europe’s General Data Protection Regulation (GDPR) legislation gains momentum impacting data privacy on a global level,...
Big Data In Agriculture: Research Data Loss Horror Stories We'll be presenting at the CGIAR Big Data in Agriculture Convention on October 2, 2018. Abby Clobridge and Eric Smith will be sharing three research data loss horror stories from an information security perspective -- situations that led to entirely preventable data loss. A common theme at many organizations where data is seen as a public good is that information security...