Smart Metadata in Action: The Social Impact Data Commons
Joanna Schroeder, Alan Wang, Kathryn Linehan, Joel Thurston, and Aaron Schroeder

TL;DR
This paper discusses how smart metadata enhances the Social Impact Data Commons by making data more accessible, evaluable, and FAIR-compliant, supporting social impact research and decision-making.
Contribution
It introduces the use of actionable and evaluable metadata within the Data Commons to improve data sharing and adherence to FAIR principles.
Findings
Metadata supports FAIR data principles
The system improves data accessibility and evaluation
Core metadata aligns with standards
Abstract
This article describes the use of metadata and standards in the Social Impact Data Commons to expose official statisticians to an innovative project built on actionable and evaluable metadata, which produces a FAIR data system. We begin by introducing the concept of the Data Commons, focusing on its features, and presenting an overview of current implementations of the Data Commons. We then present the core metadata case study, demonstrating how smart metadata support the Data Commons. We also present evaluations of our core metadata, including its adherence to the FAIR guidelines. We conclude with a discussion on our future metadata and standards-related projects to support the Social Impact Data Commons.
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Taxonomy
TopicsResearch Data Management Practices · scientometrics and bibliometrics research · Scientific Computing and Data Management
