Effective Research Management systems:
getting ahead of research data mandates
Conference
Format: Poster
Topic: Research information systems (CRIS)
Session: 📋 Poster Session
Tuesday 25 April 10:15 a.m. - 11:45 a.m. (UTC)
Abstract
With data sharing pilots from the Horizon project being expanded, and the USA moving forward with requirements from the NIH and the OSTP, data policies are becoming more prolific globally. As a result, Universities now need to ensure compliance not only with Open Access mandates, but open data mandates too. Publishers often help to move the needle with data sharing through individual journal mandates on data availability, but the Editorial teams often send the authors to third party generalist repositories to deposit and share their data.
Unless Universities actively position themselves as a place of support for researchers, the knowledge of what is being shared, how FAIRly it’s being shared and how often, becomes harder to capture at the institutional level. By providing specialised tools to make data sharing easy for the researchers to enact, the library and research office can work together to provide research data management services in house, centering themselves in the transition to facilitating and tracking compliance with data policies.
Through sharing data outputs in a repository that integrates seamlessly with a CRIS system, Universities can report on these outputs in a robust way and ensure policies are complied with.This also allows institutions to demonstrate the impact of all o0f their research outputs. Using Symplectic Elements and Figshare as an example, we will explore how software can provide a complete solution for collecting, storing, showcasing and reporting on all research outputs and scholarly activities, especially data outputs.
Figshare enables researchers to upload files up to 5TB, previews over 1200 file formats in the browser and integrates with github, orcid, sherpa romeo to make sharing data in a compliant way easy. Symplectic Elements then harvests that data output information into its system using our bi-directional integration. This means published datasets can be linked to funding information, populate researcher profile pages, create impact case studies, and importantly, ensure compliance with funder policies.