Advancing collaborative data stewardship with Python, Jupyter, Git
posterposted on 2021-01-26, 01:01 authored by Jack McNelis, David Moroni, Edward Armstrong, Wen-Hao Li, Nga Chung
Data stewardship depends on effective collaborations. At the Physical Oceanography Distributed Active Archive Center (PO.DAAC), we collaborate with data providers to develop accurate and complete metadata about their datasets. We also collaborate with software developers who rely on consistent metadata to develop an effective user experience for our web portal and data services. We find that open source tools like Python, Jupyter, and Git are excellent for documenting data stewardship and workflows in a transparent, reproducible manner that fosters engaging collaboration with our colleagues. This poster discusses how PO.DAAC is leveraging these tools and environments for data stewardship using examples from our recent support of Earth science datasets. This poster was presented at the 2021 Earth Science Information Partners (ESIP) Winter Meeting held virtually in January 2021.