A Preliminary Review of Influential Works in Data-Driven Discovery

TL;DR

This paper analyzes influential works in data-driven discovery based on references from applicants in a 2014 competition, highlighting key contributions and citation patterns in the field of Big Data for scientific discovery.

Contribution

It provides a preliminary review of influential works in data-driven discovery by analyzing citation data from a large applicant pool.

Findings

53 works cited at least six times

Identification of key influential works in Big Data for scientific discovery

Preliminary insights into citation patterns in data-driven research

Abstract

The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1,100 applications and each applicant had the opportunity to list up to five influential works in the general field of "Big Data" for scientific discovery. We collected nearly 5,000 references and 53 works were cited at least six times. This paper contains our preliminary findings.