Donna M. Gitter


Scientific progress thrives with open discussion of new ideas and supporting data. To this end, researchers traditionally publish their results in scientific papers—papers that contain the new ideas and the underlying data supporting those ideas. With the advent of large-scale and high-throughput data analysis, however, the creation of scientific databases have replaced the traditional model. For such publically-funded, data-intensive projects, funding agencies typically require that all relevant data be made available on a publicly accessible website at the time of the paper’s publication. Against the backdrop of the public accessibility model used in the 1000 Genomes Project, the author recommends that a modified framework be applied to smaller scale data collection projects. Such a framework could overcome the data producers’ concern for protecting the data they have created, thereby encouraging researchers to share data from smaller scale studies.