Managing Your Research Data
Research data management is an essential part of every research process. The aim of research data management is to improve the efficiency level of the research process. In addition, it also aims to meet the goals and requirements that are set by the university, research funders, and the legislation.
The primary concern of the research data management process is to organize the data. The role of the research data management extends from the time when the data enters the research cycle and continues till the time the data is disseminated and archived as valuable results. The aim of research data management is to ensure reliable verification of results. In addition, it allows for building of new and innovative research, using the existing information.
In summary research data management is concerned with how you plan to create the data and what plans you have to use this data. Next it is concerned with how you will organize, structure, and name the data that you have collected. Thirdly, it look at how you plan to keep the data. In other words, what plans you hve to make it sure, how you plan to provide access of the data to others, how you plan to store the data, and what strategy you have to back it up. Lastly, it explores how you find information resources, how you plan to share it with collaborators, and how you plan to get it published and get cited.
It won’t be wrong to say that the scientific research process can be enhanced by managing and sharing research data. Therefore, a good research data management practice allows reliable verification of results, and permits new and innovative research to be built on existing information. Recently, many leading journals require underlying data-sets also to be published or made accessible as part of the essential evidence base of a scholarly article. Surely we can say that the role of the research data management process is going to increase significantly, in the academic domain, in the near future.