1. CSG Short Workshop Funding Research Computing May 12, 2010

2. Goals What works? What are best practices? What are barriers or enablers for best practices?

3. Agenda Grants Jargon 101 - Alan Funding Infrastructure, Primarily Data Centers - Alan Funding Servers and Storage – Curt 10:30 break Funding Staff - Greg Funding the Storage and Archival Life Cycle – Serge & Raj Summary and Reports from Related Initiatives - Raj

4. Grants Jargon 1001 (may be Columbia specific) A-21 – Principles for Determining Costs Applicable to Grants, Contracts, and Other Agreements with Educational Institutions. –Federal OMB rules that apply to sponsored projects. –Allowed and Unallowed Costs Direct Costs –Personnel, Equipment, Supplies, Travel, Consultants, Tuition, central computer charges, core facility charges, etc. Indirect Costs (IC) a/k/a Facilities and Administrative (F&A) –The “overhead” such as heat, administration, etc. –Modified Total Direct Costs (MTDC) are Total Direct Costs minus equipment, participant support, GRA tuition, alteration or renovation, routine & ancillary patient costs, subcontracts > $25k –Indirect Cost Rate (ICR) is negotiated with HHS (e.g. 61%) –IC = MTDC * ICR is added to the project budget Example: (Direct cost $1M - $500K equipment) * ICR = $1.305M total

5. Campus Data Center Models Institutional core research facility Departmental closet clusters Shared data centers between administration and research Multi-institution facilities (e.g. RENCI) Cloud Funding spans the gamut from fully institutionally supported to grant-funded.

6. Funding infrastructure (data centers): pre-workshop survey results 19 of 22 respondents have centrally run research data centers, mostly (15 counts) centrally funded (9 counts of using charge back, 3 counts of grant funding) 18 of 22 respondents have departmentally run research data centers, mostly (14 counts) departmentally funded (3 counts of using charge back, 4 counts of grant funding) 14/22 respondents have inventoried their research data centers 10/21 respondents have gathered systematic data on research computing needs