@article{fbff3f1b5c604130a817ee511522906c,
title = "Technical and policy underpinnings of FAIR data principles",
abstract = "At the trajectory of exponential data growth and FAIR (Findable, Accessible, Interoperable and Re-usable) requirements, organizations face the data management and publishing challenges in support of effective data discovery and publishing activities. This panel brings researchers and practitioners who have researched and practiced in managing datasets and providing discovery services to share their experience and expertise in addressing the challenges and proactively responding to trends in research data management, curation, sharing, and reuse.",
keywords = "Data curation, Knowledge representation for data, Metadata interoperability, Research Data Management",
author = "Jian Qin and Coll, {Imma Subirats} and Zeng, {Marcia Lei} and Brian Dobreski",
note = "Funding Information: Imma Subirats has been working as senior knowledge and information management officer at the Food and Agriculture Organization of the United Nations (FAO) since 2006. She provides advice for standards, tools and good practices for the management and exchange of data to academic, research, private and governmental institutions worldwide. She is also actively promoting open access and open data in the agricultural research context. In recent years, she has been working on the facilitation of the AIMS community and portal, space for accessing and discussing information management standards, tools and methodologies with the objective to connect information specialists worldwide to support the implementation of structured and linked information and knowledge. Marcia Lei Zeng is Professor at School of Information, Kent State University. Her major research interests include knowledge organization systems (taxonomy, thesaurus, ontology, etc.), Linked Data, metadata and markup languages, database quality control, multilingual and multi‐culture information processing, and digital libraries for cultural objects. She has published more than 80 papers and five books and given 200+ national and international conference presentations, invited lectures and keynote speeches. She was the P.I. and Co‐P.I. of two National Science Foundation's (NSF) National Science Digital Library (NSDL) projects. She currently is the P.I. of an IMLS funded Linked Data project. In 2014 she was elected inaugural chair of the Dublin Core Metadata Initiative (DCMI) Advisory Board. Zeng was recognized by Kent State University for Outstanding Research and Scholarship in 2014 and received the President's Faculty Excellence Award in 2016. Brian Dobreski , PhD, is an assistant professor of iSchool at University of Tennessee‐Knoxville. His research has centered around knowledge organization in various forms of systems, such as databases, classifications, catalogs, and archives. He specifically looks at knowledge organization in heritage settings, such as libraries, archives and museums. He is a recipient of the Eugene Garfield Doctoral Fellowship for his dissertation. Jian Qin is Professor at the iSchool, Syracuse University. The areas of her research interest include metadata, knowledge and data modeling, scientific communication, research networks, and research data management. Her research has received support from Institute for Museum and Library Services (IMLS) and National Science Foundation (NSF) for projects in science data literacy, research data management, and big metadata analytics Jian Qin has published widely in national and international research journals and conferences. She was the co‐author of the book Metadata and co‐editor for several special journal issues on knowledge discovery in databases and knowledge representation. ",
year = "2019",
month = jan,
doi = "10.1002/pra2.93",
language = "English (US)",
volume = "56",
pages = "569--571",
journal = "Proceedings of the Association for Information Science and Technology",
issn = "2373-9231",
publisher = "John Wiley and Sons Inc.",
number = "1",
}