Implementing a National Data Infrastructure: Opportunities for the BIO Community Peter McCartney Program Director Division of Biological Infrastructure CASC

National Data Infrastructure Acquisition & Generation Storage & Curation Analysis, Modeling & Visualization Data Policy Education & Workforce Foundational Research in Cyber-technologies Collaboration, Partnerships & Grand Challenges

NITRD Big Data R&D Strategies Strategy I: Create next generation capabilities by leveraging emerging Big Data foundations, technologies, processes, and policies (Foundational Research) Strategy II: In addition to the generation of knowledge from data, also emphasize using trustworthy data and resulting knowledge to make decisions and take confident action (Grand Challenges) Strategy III: Ensure the long term sustainability, access, and development of high value data sets and data resources (NDI) Strategy IV: Improve the national landscape for Big Data education and training to fulfill increasing demand for both deep analytical talent and analytical capacity for the broader workforce (Ed& Workforce) Strategy V?: (Data Policy)

Biology as an Information Science Life exists because of the ability to encode, exchange, and interpret information. Bioinformatics programs in BIO support: Development of methods to represent and manipulate biological information, rules, and processes in digital form Development of tools and resources to support biolological research using computational methods.

Populations & Community Ecology Ecosystem Science Evolutionary Processes Molecular Biophysics Research Resources Genetic Mechanisms Systematic Biology & Biodiversity Neural Systems Cellular Dynamics and Function Synthetic and Systems Biology Plant Genome Research Program Developmental Systems Physiological and Structural Systems

BIO Grand Challenges Understanding the Brain Understanding Biological Diversity Interactions of the Earth, Climate, and Biosphere Phenomics: Genotype to Phenotype. Synthetic Biology

innovative sustaining general BIO-specific large small life cycle scale scope CI for Life Sciences Portfolio Balance

Implementing a National Data Infrastructure: Acquisition and Generation Instrumentation Observing & experimental infrastructure (NEON), New molecular technologies(Cryo EM) Digitization Imaging technologies & feature extraction (Bisque, ADBC) Data Mining Annotation, Knowledgebases (Phenoscape) Computational approaches Protein structure prediction (Bio XFEL). Crowd sourcing Citizen science networks (eBird)

Implementing a National Data Infrastructure: Curation & Storage Curation (Science communities)  Standards (metadata, formats, APIs, QAQC, etc)  Portals (DataOne, Arabidopsis Information Portal, Biodiversity portals)  Data repositories (PDB, TAIR, Gramene, REDfly Storage Infrastructure (Shared infrastructure)  Tools (data management technologies, cyber security, identity management, DOI’s, etc)  Storage capacity (xSede partners, campuses, clouds)

Implementing a National Data Infrastructure: Modeling and Analysis Modeling and Analytic environments Tools organized around bio research communities (bioKepler, Galaxy, Predictive Ecosystem Analyzer) Computational gateways Connecting users to shared infrastructure (iPlant, CIPRES, Neuro Science Gateway)

Advances in Biological Informatics Innovation Awards – smaller, shorter projects, emphasis on innovative, high risk research to develop new approaches. Development Awards – larger efforts focused on delivery of a database, software tool or informatics resource. Sustaining Awards – limited funds for operations and maintenance of critical infrastructure

Mapping ABI Tracks across NSF BIO – PDB, NEON, iDigBio, iPlant, GoLife, PGRP, Centers MPS – Math BIO. CDS&E ENG – Bioengineering, Synthetic Bio CISE – IIA, BigData, GEO - Earthcube, GeoInformatics, BCO DMO Crosscutting – SI2, DIBBS, BioMAPS, CDS&E International - BBSRC