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- research-articleJuly 2024Best Paper
A Model for Managing Multi-Tenant Research Databases
PEARC '24: Practice and Experience in Advanced Research Computing 2024: Human Powered ComputingArticle No.: 2, Pages 1–9https://doi.org/10.1145/3626203.3670546Relational databases provide an essential functionality that is utilized by a range of academic disciplines, however, managing a secure and reliable relational database management system (RDBMS) can be both challenging and expensive. The Research ...
- short-paperSeptember 2023
Scholarly Data Share 2.0: Granular Access to Research Data
PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common GoodPages 177–180https://doi.org/10.1145/3569951.3597585The 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, ...
- extended-abstractJuly 2022
Data Management Workflows in Interdisciplinary Highly Collaborative Research
PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, YouArticle No.: 88, Pages 1–3https://doi.org/10.1145/3491418.3535183Data curation is an important aspect in research projects. Effective data management is critical for data curation, and it not only contributes to the success of projects but makes research outputs findable, accessible, interoperable and reusable. We ...
- research-articleJuly 2022
Scholarly Data Share: A Model for Sharing Big Data in Academic Research
PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, YouArticle No.: 2, Pages 1–8https://doi.org/10.1145/3491418.3530297The Scholarly Data Share (SDS) is a lightweight web interface that facilitates access to large, curated research datasets stored in a tape archive. SDS addresses the common needs of research teams working with and managing large and complex datasets, ...
- research-articleOctober 2016
Toward a conceptual framework for data sharing practices in social sciences: a profile approach
ASIST '16: Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives through Information & TechnologyArticle No.: 37, Pages 1–10This paper investigates the landscape of data-sharing practices in social sciences via the data sharing profile approach. Guided by two pre-existing conceptual frameworks, Knowledge Infrastructure (KI) and the Theory of Remote Scientific Collaboration (...