Implementation and assessment of an end-to-end Open Science & Data Collaborations program.

Area of Science:

• Library and Information Science
• Research Management
• Open Science Practices

Background:

• Increasingly interdisciplinary, fast-paced, data-intensive, and collaborative research necessitates adherence to Open Science principles.
• Traditional support for Open Science often focuses narrowly on repositories and publishing, leaving gaps in the research lifecycle.
• The Carnegie Mellon University Libraries established an Open Science & Data Collaborations (OSDC) program to address these needs.

Observation:

• The OSDC program provides a comprehensive suite of resources including tools, training, collaboration opportunities, and community-building events.
• This program offers an end-to-end model for Open Science support, integrating it throughout the research lifecycle.
• The program's reach extends beyond open access publishing and repositories to encompass all research activities.

Findings:

• A logic model and preliminary assessment metrics framework were developed to evaluate program impact.
• Data from event/workshop registrations and platform usage provide initial insights into service productivity.
• Evaluation instruments are being refined to answer in-depth questions about program impact and identify priority service areas.

Implications:

• The OSDC program's comprehensive model can guide other institutions in developing robust Open Science support.
• Data-driven evaluation will enable targeted improvements and resource allocation for Open Science initiatives.
• This program fosters a culture of Open Science, supporting researchers throughout their entire workflow and promoting impactful collaborations.