The Implementing Effective Data Practices: Stakeholder Recommendations for Collaborative Research Support is now available.
APLU joined the Association of Research Libraries, the California Digital Library, and the Association of American Universities in releasing a new report with recommendations for data practices supporting an open research ecosystem. The report, Implementing Effective Data Practices: Stakeholder Recommendations for Collaborative Research Support, includes insights from library, research, and scientific experts.
The report is based on information and insights gleaned during a December 2019 conference exploring effective implementation of National Science Foundation data practices. It focuses on recommendations for research institutions and also provides guidance for publishers, tool builders, and professional associations.
Five key takeaways in the conference report:
APLU and AAU expect to release an Institutional Guide to Accelerating Public Access to Research Data in spring 2021 with additional recommendations. Learn more about this Guide and past reports on public access to research data here.
Five recommended core PIDs
The report also identified five core PIDs that are fundamental and foundational to an open data ecosystem. Using these PIDs will ensure that basic metadata about research is standardized, networked, and discoverable in scholarly infrastructure:
The report is intended to encourage collaboration and conversation among a wide range of stakeholders in the research enterprise by showcasing how collaborative processes help with implementing PIDs and machine-actionable DMPs (maDMPs) in ways that can advance public access to research.
This material is based upon work supported by the National Science Foundation under Grant Number 1945938. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Stay Connected
X (formerly Twitter)
Facebook
YouTube
LinkedIn
RSS