scispace - formally typeset
S

Suzie Allard

Researcher at University of Tennessee

Publications -  106
Citations -  3647

Suzie Allard is an academic researcher from University of Tennessee. The author has contributed to research in topics: Data management & Data sharing. The author has an hindex of 26, co-authored 92 publications receiving 3131 citations. Previous affiliations of Suzie Allard include University of Kentucky & University of São Paulo.

Papers
More filters
Journal ArticleDOI

Data Sharing by Scientists: Practices and Perceptions

TL;DR: Large scale programs, such as the NSF-sponsored DataNET will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles.
Journal ArticleDOI

Changes in data sharing and data reuse practices and perceptions among scientists worldwide

TL;DR: Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors, while an examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines.
Journal ArticleDOI

Research data management services in academic research libraries and perceptions of librarians

TL;DR: In this article, the authors report the results of two studies: librarians' RDS practices in U.S. and Canadian academic research libraries, and the RDS-related library policies in those or similar libraries.
Journal ArticleDOI

Peer review: still king in the digital age

TL;DR: The study shows that peer review is still the most trustworthy characteristic of all when it comes to scholarly reading, citing, and publishing, and it is shown that young researchers are much less concerned with the fact that it is peer reviewed.
Journal ArticleDOI

Participatory design of DataONE—Enabling cyberinfrastructure for the biological and environmental sciences

TL;DR: The design of DataONE (Data Observation Network for Earth)—a cyberinfrastructure platform developed to support rapid data discovery and access across diverse data centers distributed worldwide and designed to provide scientists with an integrated set of familiar tools that support all elements of the data life cycle is described.