Big Data Use Case: MyGRANTS of Ministry of Higher Education
MyGRANTS (Malaysian Greater Research Network System) is an online system which caters for grant application, evaluation, monitoring and management of Research Grants (ERGS, FRGS, GSP, LRGS, NRGS, PRGS, RACE, RAGS and TRGS) under Ministry of Higher Education (MOHE). Besides grant processing, MyGRANTS is also designed to assist researchers and to nurture collegiality among researchers, in order to develop a critical mass of research by offering a conducive research ecosystem.

MyGRANTS has successfully used Big Data technology to achieve what is otherwise impossible to attain.

Web Application Framework (EliteSys)
MyGRANTS is developed using Web Application Framework module that supports thousands of concurrent accesses without the need for high specification hardware. The entire system is running on Cloud architecture with a high availability setup.

Semantic Analysis and Document Comparison (Natural Language Processing)
Semantic Analysis of Speedminer Big Data has the ability to process human language (Natural Language Processing – NLP) and is capable of analyzing the submitted grant proposal against other proposals in the database, archive and library to list out all the proposals with similar ideas. This Document Comparison feature shows percentage of new content added and percentage of similarity to the grant panel for comparison to prevent plagiarism and to avoid giving many grants to researches of similar nature.

Collaboration
MyGRANTS implements a private social network on the communication platform of Speedminer Knowledge Management to encourage collaboration, exchange of ideas, and knowledge sharing among researchers. Researchers can add connections to other researches, group his connections, discuss and exchange ideas publicly or discuss privately amongst project members.

Knowledge Management with Linguistic Machine Learning
With Speedminer Knowledge Management, research knowledge and projects can be searched and found easily. With the ability to understand semantic relationships in an unstructured text content, dominant/important and related entities can be detected and searched. Search results could be similar to the entered keyword or those not similar but its topic is discussed along with the entered topic. This is the unique feature supported by Speedminer Big Data linguistic machine learning.

Grant Monitoring with Speedminer Business Intelligence
In Monitoring module, project leaders can always record project progresses in terms of budget used, milestone achieved as well as exhibition, publication, intellectual property and human capital that has been created/invented. Request of member change, budget allocation and project timelines as well as progress report submissions can be done online easily. With the use of Speedminer Business Intelligence, dashboards with analysis and reports are developed to allow admin user to trace the current project status from universities nationwide anytime, anywhere.