New Jersey § 52:17c-3

§ 52:17c-3.

a. The New Jersey Big Data Alliance is designated as the State's advanced cyberinfrastructure

consortium. The purpose of the consortium shall be to encourage State government, academia,

and industry to address, in a strategic and coordinated manner, the significant and

immediate challenges posed by the proliferation of big data sources and the resultant

deluge of digital data. Major initiatives may include, but not be limited to: (1) encouraging the creation

of joint education programs, including the establishment of a common curriculum for

data sciences and the creation of coordinated certificates, workforce training, and

outreach programs; (2) promoting inter-university research collaborations; (3) catalyzing

interaction with national and international data consortiums, such as the National

Consortium for Data Science; (4) organizing events that promote big data education

and collaborating across State government, academia, and industry; (5) collaborating

with the Rutgers Discovery Informatics Institute and the Office of Information Technology

to develop an advanced cyberinfrastructure plan for the State; and (6) developing

a shared data cloud that integrates data infrastructure, hosted data, and data analytics. b. The New Jersey Big Data Alliance shall consist of the following members: Rutgers,

the State University; Princeton University; New Jersey Institute of Technology;

Rowan University; the Richard Stockton College of New Jersey; Kean University;

Montclair State University; and the Stevens Institute of Technology. The New Jersey Big Data Alliance shall determine the appropriate size of its membership

and admit future members as the alliance deems appropriate. c. As used in this section: “ Big data ” means high volume information assets, high velocity information assets, high variety

information assets, or all three, that require new forms of processing to enable enhanced

decision making, insight discovery, and process optimization. The term “ cyberinfrastructure ” includes, but is not limited to, data networks, computational facilities, computing

resources, large data sets, specialized software applications, information technology

usage improvements, and the human expertise necessary to develop and manage these

resources.