Data Lifecycle Management: Experimental Platforms, Design and Analytics (6.5.19)

Speakers:
Julie Goldman, MLIS, Research Data Services Librarian, HMS
P. Scott Lapinski, MS, Associate Director, Scholarly Communication and Open Science Initiatives, HMS

Description: High content experiments and project data require computational and storage infrastructure plus specialized management planning. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research. By systematically and collaboratively organizing data, we can overcome challenges or making data findable, accessible, interoperable and reusable (FAIR). In this module, we will identify and discuss current workflow challenges throughout the research life cycle, and explore strategies to meet the evolving needs of individual researchers and research teams. By understanding best practices for managing your data throughout a project, you will succeed in making your research ready to publish, share, interpret, and be used by others.

Topics: Research Data Management; RDM Challenges and Best Practice; Management with Collaborative Tools; Data Sharing Compliance and Repositories; Dissemination, Discoverability, and Access; Benefits for your Scholarly Impact