Presentations Research Data Preservation Beyond Data Sharing and Open ScienceBrett Currier(1), Bommae Kim(2), Cynthia Edwards(1), Courtney Butler(1)
1: Federal Reserve Bank of Kansas City; 2: University of Virginia Health System Research data preservation has often been discussed as part of data sharing and open science. However, research often involves data with restrictions, and regardless of sharing, preservation is a crucial process for research integrity. We will discuss challenges in technical configurations and service workflows for restricted data.
What's Humanities Data?: Translating RDM for Humanities Librarians & ArchivistsAnna Sackmann,
Stacy ReardonUniversity of California, Berkeley, United States of America How can librarians address the data management needs of humanities research? UC Berkeley’s Research Data Management and the Library collaborated on a data curriculum for Arts and Humanities librarians and archivists to bridge the disciplinary and ontological “data” gap that often divides the arts and humanities from the sciences.
Beyond Citation: Critical Thinking About Digital ResearchEileen ClancyGraduate Center, City University of New York, United States of America With the Graduate Center Library at the City University of New York, we are building Beyond Citation, a prototype platform to enable researchers to collaboratively construct our understanding of the way subscription databases work. Ultimately, we would like to be the Missing Manual for digital research in the humanities.
Unclassified: Research Data Management at Los Alamos National LaboratoryJoshua Finnell,
Brian CainLos Alamos National Laboratory, United States of America
This snapshot will provide a glimpse into research data management initiatives at Los Alamos National Laboratory. In particular, this talk will highlight the challenges in promoting data sharing and data infrastructure within the unique confines of the National Nuclear Security Administration.
Building an RDM Guide for ResearchersJohn BorghiCalifornia Digital Library, United States of America Researchers are faced with an evolving array of expectations related to how they manage and share their data. We have developed a guide intended to help researchers understand research data management (RDM) on their own terms and self assess their data-related practices.
