All Projects Related to Research Area: Data-driven Science

The Whole Tale: Merging Science and Cyberinfrastructure Pathways
Whole Tale is a five-year NSF CC*DNI DIBBS-funded project that will enable researchers to examine, transform, and then seamlessly republish research data that was used in an article.  These "living articles" will enable new discovery by allowing researchers to construct representations and syntheses of data.
Bertram Ludaescher, PI (Illinois); Kyle Chard, co-PI (U of Chicago); Victoria Stodden, co-PI (Illinois); Matthew Turk, co-PI (Illinois); Niall Gaffney, co-PI (Texas Advanced Computing Center)
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Designing Synthesized Knowledge of Past Environments (SKOPE)
This project will design and prototype SKOPE  (Synthesized Knowledge of Past Environments), an online research tool that will provide state-of-the-art information about the environment experienced by humans at a given a place and time, past or present.  In response to a specific query, SKOPE will extract the latest data from diverse online databases. Using explicit and repeatable procedures, it will process the data to yield a cutting-edge synthesis of environmental information specifically tailored to the user’s request. Initially the tool will be developed for the Southwest US over the last 2000 years, but it will be designed to be readily extended to other places and times.
PI: Keith Kintigh (Arizona State); PI: Timothy Kohler (Washington State); PI: Bertram Ludäscher (iSchool at Illinois)
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Kurator: A Provenance-enabled Workflow Platform and Toolkit to Curate Biodiversity Data
Data curation is a critical step in scientific data digitization, sharing, integration and use. The considerable resources allocated to digitization of natural science collections in the U.S. and globally require a focus on both digitization efficiencies and the utility of the generated data. One way to address both issues is to employ workflow software to automate and streamline data curation processes. We are developing Kurator, a suite of biodiversity data quality tools aimed at collection management specialists with little or no programming experience, database administrators and researchers with some scripting language experience, and developers.
PI: Bertram Ludäscher; co-PI: James Macklin (Agriculture and Agri-Food Canada); PI: James Hanken (Director, Museum of Comparative Zoology. Harvard)
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Biological Information Specialist Program
The Graduate School of Library and Information Sciences accepts applications for a biological informatics masters degree program for Biological Information Specialists (BIS). Unlike most existing educational programs in bioinformatics, the BIS program takes a broad view of biology and informatics to train professionals to bridge arenas of information technology development in the biological sciences. Program and application details can be found on the GSLIS Website.
PI: Carole Palmer; Co-PIs: P. Brian Heidorn (University of Arizona), W. John MacMullen
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Curation Profiles Project
GSLIS and the UIUC Library are partnering with the Purdue University Libraries (D. Scott Brandt, PI) on a $272,229 grant, "Investigating Data Curation Profiles Across Multiple Research Disciplines." This project combines both library and research domain strengths of the University of Illinois and Purdue University Libraries to investigate questions related to data collection, management, publication and preservation, including "at which point in the research cycle are researchers willing to share data, with whom, and under what conditions?" In addition, we will consider the role of academic libraries in supporting e-science activities, by studying how librarians can interact with scientists to make their research output available, identifying practices and tools to support further metadata development and capture workflow.
PI: D. Scott Brandt (Purdue University)
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Data Conservancy
The five-year award, one of the first two in the NSF's DataNet program, is building infrastructure for the management of the ever-increasing amounts of digital research data.
PI: Sayeed Choudhury (Johns Hopkins University); Co-PI: Carole Palmer
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DataONE (Data Observation Network for Earth)
Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.  Supported by the U.S. National Science Foundation (Phase 1 Grant #ACI-0830944, Phase 2 Grant #ACI-1430508) as one of the initial DataNets, DataONE will ensure the preservation, access, use and reuse of multi-scale, multi-discipline, and multi-national science data via three primary cyberinfrastucture elements and a broad education and outreach program.
PI: William Michener (University of New Mexico); co-PIs: Matthew Jones (University of California, Santa Barbara); David Vieglais (University of Kansas); Suzanne Allard (University of Tennessee Knoxville); sub-award PI: Bertram Ludäscher (iSchool at Illinois)
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Information and Discovery in Neuroscience
This project aims to specify information technology needed to 1) improve neuroscientists' ability to synthesize existing research results and share information and 2) support different modes of discovery and collaboration. Through field studies at neuroscience labs we are identifying high impact information, critical information problems, and constraints on the transfer and exchange of information within research teams and between specializations and disciplines.
PI: Carole Palmer
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Towards Evidence-Based Discovery
Understand both human and automated methods to synthesize evidence from text.
PI: Catherine Blake
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