"Digital Libraries and Research Data Management"
Research data is the bedrock of scientific research. From the same data, multiple scientists can draw different conclusions. Sharing research data is thus of paramount importance. Additionally, if we can share and reuse research data, we can perform comparative studies over data obtained by different research projects, design different applications of the data, and extract maximum benefits for the cost incurred to obtain the data. Currently, although there are repositories where scientists can store and host their data, we often face difficulties related to expenses, ease of use, lack of accepted data formats, and metadata standards, lack of individual rewards for sharing of the data, etc. eScience and digital libraries have attempted to address some of these difficulties. In this talk, I will outline some of the issues and solutions related to research data management especially using case studies from the ChemXSeer, ArchSeer, and CiteSeerX projects. I will highlight issues related to data storage, management, retrieval, and the diversity of the data, need for interoperation, preservation and archival, usability and user access, need for standards, security and trustworthiness of the repositories, etc. outlining the progress in each of these areas briefly. I will conclude by summarizing both the success and the open problems in the area.
About the Speaker
Dr. Prasenjit Mitra is a professor and associate dean for research in Penn State's College of Information Sciences and Technology. He drives the college’s strategic research priorities, including fostering collaboration with various partners and representing IST in research-related activities. Dr. Mitra’s research focuses on big data analytics, applied machine learning, artificial intelligence, and visual analytics. He previously worked at Oracle Corporation in the Server Technologies division developing database software, and worked as a senior engineer at Narus and DB Wizards. He earned his doctorate in electrical engineering at Stanford University.
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This lecture is co-sponsored by the Penn State Center for Socially Responsible Artificial Intelligence as part of the 2021 International Conclave on eScience and Digital Libraries: Building Communities for Collaboration.