Various kinds of analysis and mathematical models based on neuroscience are developing in the neural network study. In the research, experimental data and knowledge so far obtained are essential resources to deepen their consideration of neuronal systems and functions. In order to utilize the accumulation of expertise and research effectively, it is important to integrate various resources, such as bibliography and experimental data. The managing and sharing of research resources are absolutely imperative for future development in both experimental and analytical studies. Various scientific fields need a new method to obtain precise information, because the amount of experimental data and publications has increased rapidly due to innovations in measurement, computers and network technologies. Under this situation, an effective resource-managing based on CMS (Content Management System) is introduced here for the laboratory use. We are providing functional modules to manage research resources for neuroinfomatics. As a practical use of these modules, a database system for managing image data of invertebrate neurons measured by Confocal Laser Scanning Microscope (CLSM) is developed. Furthermore, these modules are implemented for management of contents in the Invertebrate Brain Platform.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.