best to ensure that analyses are reproducible? How can methods best be made accessible to scientists? How to facilitate transparent communication of analyses? A crisis in big data biological research: reproducibility
biological research • Bioinformatics toolkit • Workflow management system • Facilitates transparency, reproducibility, sharing • Regular workshops in HSL (slides at stephenturner.us/slides) wiki.bioconnector.virginia.edu • A simple-to-use wiki, aimed at creating documentation. • 75 registered users • Can be used by service providers (Bioinformatics Core, Clinical Informatics, HSL) to easily document and share data/ methods/results with clients and collaborators.
development of web-based custom research databases for variety of purposes. • Clinical Data Repository – HIPAA-compliant integrated research database containing de-identified clinical and administrative information on >1M patients and >5M encounters at UVA.
entire scholarly output of University of Virginia – Enable collaborative team science – Peer comparison – Custom reporting • Benefits to Investigators: – Discover potential collaborators – More rapidly and competitively form teams • Benefits to Administrators: – Better data for Institutional business intelligence – Better assess performance for annual reviews
no-cost baseline statistical/computing/ informatics support. • Public Health Sciences, in partnership with HSL, will provide free basic statistical and research consulting in the library. • Also: statlab.library.virginia.edu