A5073295579- Scientific Computing and Data Management
- Research Data Management Practices
- Data Quality and Management
- Advanced Data Processing Techniques
- Big Data and Business Intelligence
- AI and HR Technologies
- Distributed and Parallel Computing Systems
University of California, Davis
2021-2022
The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes Health without requiring owners move, reformat, or rehost those data. This is centered on catalog integrates detailed descriptions biomedical individual Programs' Coordination Centers (DCCs) into uniform metadata model can then be indexed and searched centralized portal. Crosscut Metadata Model (C2M2) supports wide variety...
Abstract The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables users to discover datasets from across the U.S. National Institutes Health without requiring owners move, reformat, or rehost those data. CFDE’s is centered on catalog ingests metadata individual Program’s Coordination Centers (DCCs) into uniform model can then be indexed and searched centralized portal. This Crosscut Metadata Model (C2M2) supports wide variety types terms used by...
We present our lesson material and resources for introducing the use of Amazon Web Services (
We present our lesson material and resources for teaching how to use conda (https: //conda.io), a tool that streamlines software installation version management using isolated environments, while providing multiple methods reproducing sharing set ups.This training was developed the NIH Common Fund Data Ecosystem (CFDE), whose primary goal is teach biologists computational tools help make their analysis workflows FAIR: Findable, Accessible, Interoperable, Reusable (Wilkinson et al., 2016).We...