Survey form and methods for second CASC survey of academic research computing and data center usage

Full analysis paper is in the ACM PEARC'21 Proceedings: ACM ISBN 978-1-4503-8292-2/21/07. https://doi.org/10.1145/3437359.3465589Availability of cloud-based resource delivery modes is transforming many areas of computing. Many academic institutions that support research computing facilities are considering and changing their mix of on-premise and remote facilities (including in particular use of commercial cloud facilities). A working group of the Coalition for Academic Scientific Computation (an educational nonprofit 501(c)(3) organization) has conducted an annual survey of higher education institutions now for two years running, with intentions of continuing. This survey asks a number of questions of academic institutions regarding their investments in research and data-oriented computing facilities, the extent of those facilities, and institutional activities. This technical report includes the full text of the survey instrument itself and describes the methods and survey population.http://deepblue.lib.umich.edu/bitstream/2027.42/167731/1/CASC 2021 Survey Methods and Form.pdfDescription of CASC 2021 Survey Methods and Form.pdf : Survey form and methods to accompany the full publication in the ACM PEARC'21 Proceedings, ACM ISBN 978-1-4503-8292-2/21/07. https://doi.org/10.1145/3437359.3465589SEL

U-M's Public Access to Research Data Working Group Report

The Public Access to Research Data working group was charged by the Provost's Office and the Office of the Vice-President of Research to craft a set of recommendations for supporting U-M researchers in making their data publicly accessible. These recommendations are to specifically address how U-M could improve compliance, reduce the burden to researchers in sharing their data, and make the process as seamless as possible in a financially responsible manner.Universities are under growing pressure to provide support to researchers in managing, sharing, and preserving the data they generate. Funding agencies, publishers, and other external stakeholders have instituted requirements that research data be made publicly available to those seeking to better understand the research process, to replicate or reproduce the research, or to re-use the data that was collected to conduct new research. These requirements were introduced as the result of efforts by forward thinking researchers and the general public to open scientific inquiry, build trust in research, and promote good research practices. The University of Michigan (U-M) has responded with resources and services to help researchers fulfill their data sharing obligations; however, much of the data generated at UM remains largely inaccessible. Furthermore, in a recent survey, a high percentage of principal investigators at U-M reported that their data management responsibilities constitute a substantial workload. Moreover, the scope and extent of data sharing requirements from funding agencies and expectations for access to research data continue to deepen and evolve. To retain our considerable advantage in attracting research funding and to preserve our research reputation, U-M needs to become a leader in making data publicly accessible. We should take on this leadership role, not just to respond to ever increasing expectations for access to data, but to anticipate and exceed them.U-M Provosts OfficeU-M Office of the Vice-President for Researchhttp://deepblue.lib.umich.edu/bitstream/2027.42/166076/1/Public Access to Research Data WG Report.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/166076/4/Charge for U-M Public Access to Research Data Working Group.pdfSEL