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Budget: Operating very lean staffing

Budget: Operating very lean staffing. UCHC 2 FTEs Sysadmin (operations; web site; TRD 1; training & dissemination) Developer (TRD 2) Schuyler – 80% (TRD 1, TRD 2, training & dissemination; DBP support) Others 20% or less

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Budget: Operating very lean staffing

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  1. Budget: Operatingvery lean staffing • UCHC • 2 FTEs • Sysadmin (operations; web site; TRD 1; training & dissemination) • Developer (TRD 2) • Schuyler – 80% (TRD 1, TRD 2, training & dissemination; DBP support) • Others 20% or less • Hoch (20%), Gryk (20%), Maciejewski (15%), Gorbatyk (10%), Moraru (5%) • Wisconsin • 2 FTEs • Research associate (TRD 2; support of DBPs) • Programmer (TRD 2; sysadmin) • Others 20% or less • Maziuk (10%), Ulrich (5%), Livny (5%), Markley (2%, no cost)

  2. Budget: Operating (cont.) • Cincinnati • 1 FTE • PD research associate (TRD 3) • Eghbalnia (50%) (TRD 3; training and dissemination)

  3. Budget: Capitalphased roll-out based on projected need • Networking • Leverage existing high-bandwidth interconnects, but “last mile” infrastruture dedicate to project servers needed • Storage architecture • AmpliStor, Isilon mirroring between Farmington and Madison for high availability, security • Compute servers • VMs and SaaS • Cloud services generally don’t support VMs because of security issues

  4. BMRB funding • Requested funds will support projects that do not overlap with existing BMRB activties: • Maintenance of off-site mirrored NMRbox hardware and software systems (TRD 1) • Software projects specific to the integration of BMRB services with the CONNJUR WB infrastructure (TRD 2), including data deposition and retrieval systems • Construction of data models for the archiving of new kinds of information (TRD 2 and 3) • Collaborations with DBP and collaborative partners • Current BMRB NLM and proposed NIGMS support funds: • Maintenance of current data acquisition, validation, annotation and distribution systems • Archive data maintenance and remediation • Development of new methods for acquiring data not currently in the archive from publications • Design and construction of improve data archival and distribution infrastructure • wwPDB responsibilities including data deposition and processing support

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