An RM4Es based ResearchMap makes conducting research as easy as following a map and implementing a sequence of Es.
A research flow is a collection of all the needed steps (actions) taken by a researcher to reach the goal of a research project. For a quantitative modeling project, a research flow is a series of strategic decisions made by a researcher to move from his/her initially specified model to the final model. With this research flow as the guidance, changing one of its steps will often lead the researcher to a different final model, that is, to generate a new research flow.
A research map is a collection of all the possible research flows for a research project. It can be represented by a DAG (directed cyclic graph) with its node to represent a research status at every stage and with its edge to represent an action of employing certain statistical techniques (a statistical strategy).
A research map is also a collection of RM4Es with Equation specification -> Estimation -> Errors examination -> Explanation as its basic research flow. In other words, any research flow can be represented as a sequence of RM4Es, so that a research map is also just a collection of RM4Es.
Examples: Many empirical researchers take a step by step approach, of which all possible implementations produce a research map.
ResearchMap is one of the best tools for a researcher to deal with equivalent model issues and can be used to handle statistical strategies. Past experiments show that as guided by a set of statistical strategies, junior researchers can perform better than in a situation where no strategy guidance available.
It is one of the best tools to manage research knowledge and the research process.
ResearchMap can be used to optimize research processes, to improve the productivity and accuracy of research organizations.