Claire Austin

Dr. Austin has published extensively in the peer-reviewed literature and at international conferences on environmental exposure and health. Her strong quantitative background has led her to develop a research interest in scientific data modernization, and institutional facilitators and barriers to integrating and implementing the principles of Open Data, Open Science, FAIRER data, and reproducible science and research within organizations.---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------LEADERSHIP. Claire has served in leadership positions in a wide range of national and international bodies: Co-moderator (RDA-COVID19-Epidemiology sub-WG). Editor and Contributor (NIST Big Data Interoperability Framework, 3rd edition – Vol 9, Modernization and Adoption); Secretary (IEEE Big Data Governance and Metadata Management); co-Chair (RDA Assessment of Data Fitness for Use); Chair (CODATA IRiDiuM International Research Data Management glossary); co-Chair (RDC Standards & Interoperability Committee); Editorial Board member (Data Science Journal); technical advisor (ISO and NFPA); invited specialist (WHO/IARC carcinogenicity of smoke and firefighting expert panel); and, Discipline Committee member (Quebec Order of Chemists). ********** She currently leads development of a scientific data strategy and action plan for a multi-year data scientific modernization initiative targeting a wide range of monitoring, research, modelling, inventory, regulatory, and risk assessment data, and associated computer code developed and maintained by the Science & Technology Branch.--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------EDUCATION AND CERTIFICATION. Dr. Austin received her PhD in 1997 from McGill University, Department of Epidemiology, Biostatistics, and Occupational Health. Claire has received the following certifications: Emergency measures planning (Canadian Emergency Measures Preparedness College, 2000), Certified Management Consultant (CMC, 2000), industrial hygienist (CIH, 1998), and professional chemist (Quebec, 1988). She holds a M.Ed. from the Université de Montréal, and a B.Mus. (performance). Claire is fully bilingual English/French).-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- AWARDS. Claire received a departmental 2020 Citation of Excellence award for 'Innovation and Guiding Change', and a 2012 Citation of Excellence award for 'Teamwork, Partnering and Collaboration' from Environment Canada, and has been nominated by her undergraduate and graduate students a number of times for teaching and excellence awards. ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------SELECTED PUBLICATIONS. ********** AUSTIN CC (2020). "The open science ecosystem: A systematic framework anchored in values, ethics, and FAIRER data." https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3654298. ********** AUSTIN CC (2018). "A path to Big Data readiness." Proceedings - IEEE International Conference on Big Data (December 10-13). ---˃ Adopted by the National Institute of Science and Technology, in NIST (2019) BDIF - Modernization and Adoption. https://bigdatawg.nist.gov/V3_output_docs.php . ********** AUSTIN CC, *Bloom T, *Dallmeier-Tiessen S, Khodiyar VK, *Murphy F, Nurnberger A, Raymond·Martina L, Stockhause M, Tedds J, Vardigan M, Whyte A (2018). Key components of data publishing: Using current best practices to develop a reference model for data publishing. International Journal on Digital Libraries (IJDL), Research Data Publishing Special Issue, 18(2), 77–92. https://link.springer.com/article/10.1007/s00799-016-0178-2