Datum, Data and Multiple Data
The most difficult part of the research is an attempt
to decide the kind, nature and settings of data. I learnt very critical
insights on the data. In this post, I preferred to speak loudly about the data.
The old definition of data is based on the separation on two categories that
are physical and metaphysical. This first philosophical separation is always
defined as the quantities and qualities differences. The main question that I
have to ask many and many time is related with the will to know. If we focus on
the way where we have to articulate the truth and its meaning, there would be
multiple ways to measure it. Before going to the data nature, I would like to
underline the differences between the types of knowledge. I can make two
general categorical truck for two types of questions that are know-that and know-how. First type is relatively and mainly based on the
quantities, since the main concerns and intends for collecting the data is based
on the attempt to know that the measurement
creates differences to frame the similarities. In other word, the quantifying
is the first objectification process emerged from the domination of physical
science. Know-how is mostly based on the functioning the truth and meaning. For
example, we can define the pen by quantifying its appearances, but how it is
used should be explained by the qualities. As it is know that the differences
between explanation and understanding are related with the
differences between know-that and know-how.
When I consider the discourse as data, data as discourse,
I keep being suspicious about this basic determination is still acceptable in
the field of discourse and conservation analysis. Let me ask my question in a
different way, the data in discourse are based on the explanation of discourse,
or functionality of the discourse. For my data, I like to use the metaphor of
Benjamin. He defined historical materialism as a puppet under the mechanical
machine of chess. Discourse is the functionality of game as unity of
experience, without it, I could not both explain and understand the structure
of mechanical machine of chess. Data is about me, about itself, about time,
about place and about is about. I could be changed, or flied away. But, the aim
of explanation and understanding could be reached by discourse/ data.
Analogically, the transparency about the production, praxis and motivation makes researchers' artifacts more reliable and valid.