MOPs database is aimed at advancing sensor science in the context of current societal needs. The central goal is to advance the scientific content of sensor research and development by providing a proper organization of scientific sensor data, defining the requirements for a practical sensor, providing the necessary tools for analyzing and processing of sensor data, and for comparison between different sensor data. The database is focused on engaging the entire sensor scientist, first responders and user community.
Since the September 11 attacks, there has been an enormous array of analytical tools developed to determine terrorist threats depending on whether the goal is for military or civilian application. Information on these tools is not available from a single site. There is no way to bring together the developers, users, and managers of these technologies. There has been numerous reviews published and other monographs developed. However, the information is expected to escalate as time goes on and there is no way to manage these.
MOPs is a proof-of-concept for developing a focused sensor database facility via the cyberspace. The central idea is to establish true collaboration. It takes advantage of rapid advances in computational science, molecular science and information technology to develop a one-stop information access for metal ions, organics and pathogens. Built entirely from open source software,MOPs supports a free and open integrated user environment that allows users from this environment to access different remote databases without having to go to separate websites. It allows the possibility for mining data across multiple heterogeneous public and community databases. It provides a gateway for unique access to sensor data that could be distributed over a datagrid.
The technical design of MOPs includes a core integrated multilayer repository system that allows users to deposit and share sensor data via a gatekeeper, and provides a seamless link between data from different layers, namely from molecules, to transducers, to sample preparation, to mechanism. MOPs is expandable,and allows for the integration and sharing of chemical data from different disciplines, and consists of an ontology component that provides a common vocabulary for queries, interchange, interpretation and mining of data.