Intelligent Information System for Academic Institutions: Using Big Data Analytic Approach

Intelligent Information System for Academic Institutions: Using Big Data Analytic Approach

Mamata Rath (C. V. Raman College of Engineering, India)
DOI: 10.4018/978-1-5225-7784-3.ch009
OnDemand PDF Download:
List Price: $37.50
10% Discount:-$3.75


Research and publication is considered an authenticated certificate of innovative work done by researchers in various fields. In research, new scientific results may be assessed, corrected, and further built up by the scientific neighborhood only if they are available in published form. Guidelines on accountable research and publication are currently set to encourage and promote high ethical standards in the conduct of research and in biomedical publications. They address various aspects of the research and publishing including duties of editors and authorship determination. The chapter presents research and publication system using big data analytics and research data management techniques with a background of information systems and need of information in research data management.
Chapter Preview

Information In Research

All people, organizations and, when all is said in done, all associations are constantly catching data, a considerable lot of which are of no essentialness to them by any means. Nonetheless, other data are accessible that would bear the cost of them their very own superior comprehension condition and of themselves. These data – what we know as data – empower them to settle on more precise choices. Hence, the appropriate measure of data at the ideal time is a key factor for each association. Organization administrators take choices, get ready designs and control their organization's exercises utilizing data that they can get either from formal sources or through casual stations, for example, eye to eye discussions, phone calls, social contacts, and so on. Chiefs are tested by an inexorably mind boggling and indeterminate condition. In these conditions, administrators ought to hypothetically have the capacity to characterize and acquire the sort of data they require. Notwithstanding, this isn't what occurs by and by; rather, the manner in which supervisors play out their work relies upon the accessible data that they approach. Most choices are in this manner made without total learning, either on the grounds that the data isn't accessible or on the grounds that entrance to it would be expensive.

Complete Chapter List

Search this Book: