Directorate for Computer & Information Science & Engineering

Data Infrastructure Building Blocks (DIBBs)

Name	Email	Phone	Room
Amy Walton	DIBBsQueries@nsf.gov	(703) 292-8970
Robert Chadduck	DIBBsQueries@nsf.gov	(703) 292-8970
Anita Nikolich	DIBBsQueries@nsf.gov	(703) 292-8970
Peter H. McCartney	DIBBsQueries@nsf.gov	(703) 292-8470
Sylvia Spengler	DIBBsQueries@nsf.gov	(703) 292-8930
John C. Cherniavsky	DIBBsQueries@nsf.gov	(703) 292-5136
Dimitrios V. Papavassiliou	DIBBsQueries@nsf.gov	(703) 292-4480
Joanne D. Culbertson	DIBBsQueries@nsf.gov	(703) 292-4602
Eva Zanzerkia	DIBBsQueries@nsf.gov	(703) 292-8556
Lin He	DIBBsQueries@nsf.gov	(703) 292-4956
Bogdan Mihaila	DIBBsQueries@nsf.gov	(703) 292-8235
Cheryl L. Eavey	DIBBsQueries@nsf.gov	(703) 292-7269
Seta Bogosyan	DIBBsQueries@nsf.gov	(703) 292-4766

PROGRAM GUIDELINES

** Solicitation 16-530 **

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 16-1), is effective for proposals submitted, or due, on or after January 25, 2016. Please be advised that, depending on the specified due date, the guidelines contained in NSF 16-1 may apply to proposals submitted in response to this funding opportunity.

DUE DATES

• Full Proposal Deadline Date: April 4, 2016 *

SYNOPSIS

The NSF vision for a Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) considers an integrated, scalable, and sustainable cyberinfrastructure to be crucial for innovation in science and engineering (see www.nsf.gov/cif21). The Data Infrastructure Building Blocks (DIBBs) program is an integral part of CIF21. The DIBBs program encourages development of robust and shared data-centric cyberinfrastructure capabilities, to accelerate interdisciplinary and collaborative research in areas of inquiry stimulated by data.

DIBBs investments enable new data-focused services, capabilities, and resources to advance scientific discoveries, collaborations, and innovations. The investments are expected to build upon, integrate with, and contribute to existing community cyberinfrastructure, serving as evaluative resources while developments in national-scale access, policy, interoperability and sustainability continue to evolve.

Effective solutions will bring together cyberinfrastructure expertise and domain researchers, to ensure that the resulting cyberinfrastructure address researchers’ data needs. The activities should address the data challenges arising in a disciplinary or cross-disciplinary context. (Throughout this solicitation, ‘community’ refers to a group of researchers interested in solving one or more linked scientific questions, while ‘domains’ and ‘disciplines’ refer to areas of expertise or application.) The projects should stimulate data-driven scientific discoveries and innovations, and address broad community needs.

This solicitation includes two classes of science data pilot awards: Early Implementations are large "at scale" evaluations, building upon cyberinfrastructure capabilities of existing research communities or recognized community data collections, and extending those data-focused cyberinfrastructure capabilities to additional research communities and domains with broad community engagement. Pilot Demonstrations address advanced cyberinfrastructure challenges across emerging research communities, building upon recognized community data collections and disciplinary research interests, to address specific challenges in science and engineering research. Prospective PIs should be aware that DIBBs is a multi-directorate activity, and are encouraged to submit proposals that have broad, interdisciplinary interest. PIs are encouraged to refer to NSF core program descriptions, Dear Colleague Letters, and recently posted initiatives on directorate and divisional home pages to gain insight as to the priorities for the relevant area(s) of science and engineering in which their proposasl may be responsive. It is strongly recommended that a prospective PI contact a Cognizant Program Officer in the organization(s) closest to the major disciplinary impact of the proposed work to ascertain whether the the scientific focus and budget of the proposed work are appropriate for this solicitation.