Data analysis as a reflexive practice

Lately I’ve engaged two sides of a data/price question — what is it that makes qualitative data valuable? And, on the other side, what are the limitations to this value? Here and here.

So, the background is that the past four months I’ve spent a great deal of time on theory development. The project, which I now have to set aside, has been to build a theoretical rationale for a reflexive method of data analysis, in which qualities are reflexively quantified, and quantities are reflexively qualified. Part of the quantification of qualities is better accounting practices that fully value intangible assets. Part of the qualification of quantities is placing numerical representations in local contexts defined by unique interactions.

Advertisements
This entry was posted in intangible assets, Symbolic data, theoretical drivel. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s