short-paper

Scholarly Data Share 2.0: Granular Access to Research Data

Authors:

Guangchen Ruan,

Eric A. WernertAuthors Info & Claims

PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good

Pages 177 - 180

https://doi.org/10.1145/3569951.3597585

Published: 10 September 2023 Publication History

Abstract

The Scholarly Data Share (SDS) is a lightweight web interface that facilitates access to large, curated research datasets in long-term storage. The first version, SDS 1.0, facilitated sharing public datasets without access restrictions. The new version, SDS 2.0, provides controlled access to datasets at various stages in the research data life cycle. This update enables granular and customizable access control for a variety of research domains and use cases. In this paper, we discuss the features, implementation, and use cases of SDS 2.0, as well as outlining our plans for future enhancements to the service.

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Cited By

Costa CCarballo EWalsh ATuna E(2024)A Model for Managing Multi-Tenant Research DatabasesPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670546(1-9)Online publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1145/3626203.3670546
Lyczak VBrenner PHampton SAngst W(2024)Design Thinking for Human Centric Research Data Systems EngineeringPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670542(1-7)Online publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1145/3626203.3670542

Index Terms

Scholarly Data Share 2.0: Granular Access to Research Data
1. Information systems

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cover image ACM Conferences

PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good

July 2023

519 pages

ISBN:9781450399852

DOI:10.1145/3569951

Editors:
Robert Sinkovits
San Diego Supercomputer Center
,
Alana Romanella
University of Colorado Boulder
,
Shelley Knuth
University of Colorado Boulder
,
Ken Hackworth
Pittsburgh Supercomputing Center
,
Jeff Pummill
University of Arkansas

Copyright © 2023 ACM.

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Published: 10 September 2023

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PEARC '23: Practice and Experience in Advanced Research Computing

July 23 - 27, 2023

OR, Portland, USA

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Cited By

Costa CCarballo EWalsh ATuna E(2024)A Model for Managing Multi-Tenant Research DatabasesPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670546(1-9)Online publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1145/3626203.3670546
Lyczak VBrenner PHampton SAngst W(2024)Design Thinking for Human Centric Research Data Systems EngineeringPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670542(1-7)Online publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1145/3626203.3670542

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