Director: Gilberto Eduardo, Director-adjunto: Naiene Cauchy


Personal reference Architecture Style For Data Spaces

Dataspace is normally an être in details management, which in turn aim to defeat some of the natural difficulties found in data collaboration program. Data entrance operators, workstations and other users with limited capacity usually have problems in efficiently applying and controlling large amounts of data created during manual data connection or info collection techniques. Dataspace reduces these issues by giving easy access to common business objects (bo) needed in data collection, like information, forms, accounts, files etc, via a prevalent interface. Also, it is a practical way to manage a small amount of data, generally less than 90 MB, using only one application program.

In case you want to convert a legacy info collection app into a current one, you can simply use Dataspace as an input/output user interface for your current data space architecture. Afterward, with the help of a little bit of programming function, you will be able to convert again the current data to a current day structure. There is no need to be able to change the structure of your info integration system. You may even combine multiple interface layers to be able to achieve a rich set of data manipulation and analytical abilities.

Dataspace was developed by a team of international graduate students led by Professoressors J. Robin Archer, B. A., and H. F. Gasit, M. S. of Wageningen University, Holland. This task was funded by the Institucion Sinica – Netherlands and was therefore completed in the shortest possible period. The major productivity of this studies a reference architecture unit called DMAIC (dated Come early july 2021), which is a common specification for the purpose of data places which may function as a base for a a comprehensive portfolio of other research architectures.