Master reference data and Folksonomy
Building up master reference data in terms of key objects in the company is difficult, but doable. Building up a reference data list in terms of 'information types' (e.g. document types, or other taxonomy) is even more difficult. From experience I can say it is usually a disaster (too much detail, too complex ...). Therefore the concept of a managed Folksonomy is very compelling alternative. It is a Darwinian answer to data management (let the fittest document types survive). The approach could be as follows:- Data managers can start with a first cut list of information types and other attributes available for users to pick and choose - the data managers can even do a bit of a mapping exercise to some of the documents, so at least some information is linked to the information types
- Then users are invited to use the document types for their own publication processes (probably with an accellerated speed if a document type is a mandatory attribute). Allow users to choose from a picklist or to create their own if they don't know what to choose
- Create statistics and remove the taxonomy entries with a low number of links - invite the users to reclassify if they have used the removed items
Through this gradually the list of types will grow and they will become fit for purpose.
Labels: folksonomy, master reference data
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