So first off, let’s talk about my tags. My most obvious tags are knowledge-management, knowledge, knowledge-creation, knowledge-sharing, and knowledge-transfer. That makes complete sense for a body of work I read for a knowledge management class.
Secondly, what patterns do I have? I noticed a pattern of REPETITIVE WORD-descriptor. For example, I used knowledge-WORD and organizational-WORD a lot (knowledge-management, knowledge-creation, knowledge-sharing, knowledge-transfer. knowledge-production, knowledge-society AND organizational-adaptation, organizational-change, organizational-knowledge, organizational-knowledge-management, organizational-learning). I think that’s an easy way to make sure I don’t use duplicate tags that mean the same thing. Like instead of saying knowledge-sharing and sharing-of-knowledge or organization-processes and processes-in-organizations I know that if there is the word ‘knowledge’ or ‘organization/al’ in the potential tag, I always start with the main word to keep the tags simplified (even if they make more sense the other way).
Another pattern I see is tagging unusual or weird words that may seem minor but are what stood out to me in the articles and will make me remember them. For example, I read multiple case studies but tagged the ones that I liked as ‘case study’. I tagged the two papers I read that referenced the same Xerox study as ‘xerox’. I tagged the paper about rural ICTs as ‘rural’ to remember. Same with ‘urban-planning’.
This isn’t a pattern but I did create tags before I read the papers and then went back and changed them or added to them after I read the articles in order to make sure they were completely accurate.
Lastly, what methodology would I suggest for future tagging? I would suggest a little more pre-planning. I would tag before reading like I did and would, if possible, tag as a collection so that you keep your tagging schema in mind OR I would write the schema down so it can be referenced. This is especially important as you first are starting to create your methodology so you don’t have to fix as many mistakes.
I also believe that you can’t really have too many tags but after looking at my tag cloud, I realize that, after the fact, I don’t know what some of these mean. That means I need to either a) be more explicit in my tagging so I have context or b) don’t use as many random tags. I think I would lean towards being more explicit because having more avenues to organize knowledge is a good thing to me.
I like tagging to be a mix of planning and organic thought. I like to go in with a vague plan and structure and then let the information I’m tagging guide me into how it wants to be tagged. I always find that a pattern emerges, whether you intend it to or not.
In the end, for my first try at tagging academic work (but definitely not tagging period because I’m an avid Tumblr user), I like it went pretty well. I ThinkILike CiteULike. 😀