The Materials Genome Initiative (and open science in general) has the goal of advancing the pace of scientific research through the use of data sharing and data methodologies (e.g. artificial intelligence). The extent to which the stakeholders in the materials research community have the knowledge and ability to embrace the habits and practices necessary for data sharing and using the datasets of others relies upon a fundamental change in culture about how we think about the practice of science. With this in mind, we sent a survey to researchers with a goal of answering these major research questions: (1) How prevalent is the sharing and use of data in materials research? (2) What are the current major impediments to FAIR data sharing? (3) What are general attitudes with respect to the use of data in materials research? Are there differences based on field of expertise? (4) How prevalent is the use of data-centric research approaches (such as machine learning and artificial intelligence) in materials research? Are there differences based on field of expertise?<br/>We will report the outcomes of the survey, including any correlations between habits and opinions of researchers.

Understanding attitudes and habit regarding data use and sharing in advancing materials research

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