Abstract
The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1100 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 5000 references and 53 works were cited at least six times. This paper contains our preliminary findings.
Highlights
The long-term goal of the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative (DDD) is to foster and advance the people and practices of data-intensive science to take advantage of the increasing volume, velocity, and variety of scientific data to make new discoveries
As part of the competition we collected several thousand references, which we call influential works, to the literature, software, and data sets that the applicants listed as one of the top five most important works in data-intensive science or data science
Centrality of the scientific method One of the most cited influential works was The Fourth Paradigm (Hey et al 2009), a collection of papers on data intensive scientific discovery produced by Microsoft in honor of Jim Gray, one of the first modern data scientists
Summary
The long-term goal of the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative (DDD) is to foster and advance the people and practices of data-intensive science to take advantage of the increasing volume, velocity, and variety of scientific data to make new discoveries. The (up to) five Influential Works on the pre-application web form are for you to reference work that you think has helped define the field of data science. Astronomy Genomics Theory Statistical methods Machine learning Google General tools
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