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learning, etc. In general, new data mining algorithms should be developed
according to the demands on brain science research.
5. Mining results analysis:
To analyze the brain activities rules and cognition approaches from the re-
sults of data mining, because the mining results indicate the rules in the
brain activity data. In this stage, brain scientists, psychologists and dataol-
ogists are expected to collaborate.
6. Mining results verification:
To do the experiments and verify the results from brain data mining (i.e.,
the potential rules of brain activities). If it is true, the knowledge of brain
activities will be accepted, conversely, the brain activities experiments in
Step 1 should be improved, for example, designing the newly instruments
and devices.
7. Brain activities experiments improvement:
To improve the brain activities experiments according to the verified results
in Step 6. And so on, over and over again, human recognition ability on the
brain is improved gradually.
In the above steps, the tasks in Steps 1, 6 and 7 are administrated by brain
scientists, or brain scientists are expected to participate, whereas, the tasks in
Steps 2, 3, 4 and 5 are performed by dataologists.
It can be expected that all of the existing fields can form the corresponding
dataology. Thus, we say that dataology is one of the most important disciplines
in the 21
st
century.
5Conluon
We explore real nature and use computers to represent our discoveries, society,
nature and human being. Data have been produced explosively and a complex
data nature has been created unconsciously. The history of human being and
society will become the history of data. Therefore, it is necessary for human to
research data nature, and new theories and methods are required, which is the
goal to present the new discipline “
dataology
”.
Data nature (i.e., data in computer systems) is the research object of
dataol-
ogy
. There will be many new research contents and methods, such as data ex-
periment, data taxonomy, data awareness, and so on. In the 21
st
century, people
will live in both real nature and data nature. Dataology as an emerging discipline
will become one of the most important disciplines. The data technology also will
become one of the most important technologies in the future.
Acknowledgement
The research was supported in part by Shanghai Leading Academic Discipline
Project under Grant No. B114. The authors would like to thank professor Yixue
Li, professor Yang Zhong and professor Longbing Cao for their suggestions. And
we would like to thank Jianhui Chen and Xue Bai for collecting materials.
