Peter Fox - Projects

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Peter Fox

Project PI

Biological and Chemical Oceanography Data Management OfficeBiological and Chemical Oceanography Data Management Office (BCO-DMO)
Principal Investigator: Peter Fox
Description: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) was created to serve PIs funded by the NSF Biological and Chemical Oceanography Sections as a location where marine biogeochemical, ecological and oceanographic data and information developed in the course of scientific research can easily be disseminated, protected, and stored on short and intermediate time-frames.
Coastal and Marine Spatial Planning Vocabularies (CMSPV)
Principal Investigator: Peter Fox
Description: Vocabulary and Ontology development within the context of the overall development of Coastal and Marine Spatial Planning (CMSP) and Ocean and Coastal Modeling (OCM) portals by environmental inter-agency collaboration to provide search and browse options that inspire user confidence that all relevant information has been found; data providers will know how to create metadata to increase the likelihood that their information will be found.
DCO-DS LogoDeep Carbon Observatory Data Science (DCO-DS)
Principal Investigator: Peter Fox
Co Investigator: John S. Erickson and Jim Hendler
Description: Given this increasing data deluge, it is clear that each of the Directorates in the Deep Carbon Observatory face diverse data science and data management needs to fulfill both their decadal strategic objectives and their day-to-day tasks. This project will assess in detail the data science and data management needs for each DCO directorate and for the DCO as a whole, using a combination of informatics methods; use case development, requirements analysis, inventories and interviews.
DTDI Project LogoDeep Time Data Infrastructure (DTDI)
Principal Investigator: Peter Fox
Description: Earth’s living and non-living components have co-evolved for 4 billion years through numerous positive and negative feedbacks. Yet our ability to document, model, and explore these complex intertwined changes has been hampered by a lack of data synthesis and integration from many complementary disciplines—mineralogy, petrology, paleobiology, geochronology, proteomics, geochemistry, and more. The rise of oxygen exemplifies the co-evolution of rocks and life, and underscores both the tantalizing opportunities and technical challenges of deciphering transient characteristics of Earth’s storied past.
Earth System Grid - Center for Enabling Technologies (ESG-CET)
Principal Investigator: Peter Fox and Dean Williams
Description: The Earth System Grid (ESG) integrates supercomputers with large-scale data and analysis servers located at numerous national labs and research centers to create a powerful environment for next generation climate research. Access to ESG is provided through a system of federated Data Gateways, that collectively allow access to massive data and services for Climate Global and Regional Models, IPCC research, and analysis and visualization software. The Earth System Grid - Center for Enabling Technologies (ESG-CET) is funded by the U.S. Department of Energy as part of the SciDAC (Scientific Discovery through Advanced Computing) program. At the heart of the Earth System Grid is the need for access and transport of various data products. These products are produced and consumed in many and varied parts of the ESG architecture, including on data nodes, gateway nodes, clients and federated sites. The RPI effort involves secure, high-performance access and transport of data within the ESG-CET framework.
ECOOP LogoEmploying Cyber Infrastructure Data Technologies to Facilitate IEA for Climate Impacts in NE & CA LME's (ECO-OP)
Principal Investigator: Peter Fox
Co Investigator: Andrew Maffei
Description: The purpose of this INTEROP proposal is to facilitate the deployment of an Integrated Ecosystem Approach (IEA) to management in the Northeast and California Current Large Marine Ecosystems (LMEs). The direct result of the proposed activity will be application-level data and information enhanced communication for developing the consensus networks to define the specific components of interest to support the implementation of NOAA’s Driver-Pressure-State-Impact Response framework (DPSIR) decision framework and the cyberinfrastructure technologies to ensure data interoperability and reuse.
Global Change Information System: Information Model and Semantic Application Prototypes (GCIS-IMSAP)
Principal Investigator: Peter Fox
Description: The Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) proposes to facilitate the vocabulary and ontology development within the context of the overall development of semantic prototypes for the National Climate Assessment (NCA) portals using a combination of environmental inter-agency collaborations in a use-case focused workshop setting, information modeling, and software developments and deployments. The prototypes are intended to provide search and browse options that inspire confidence that all relevant information has been found; data providers will be citable with detailed provenance generation. Expected deliverables are: information models, vocabulary and ontology services for vetted climate assessment settings, and search/ browse prototypes.
MBVL Project LogoMarine Biodiversity Virtual Laboratory (MBVL)
Principal Investigator: Heidi Sosik, Stace Beaulieu, Peter Fox, and David Mark Welch
Description: This research effort brings together computational and information scientists, oceanographers and microbiologists to develop a Marine Biodiversity Virtual Laboratory (MBVL). In addition to research investigations of marine ecosystems, the Virtual Laboratory provides a platform for education via student diversity programs at the three institutions. The important learning opportunities will be two-fold for students: (1) to learn about, model, and make predictions for biodiversity in natural systems, and (2) to be exposed to working in an interdisciplinary team that includes both natural scientists and computer scientists.
MDSA LogoMulti-Sensor Data Synergy Advisor (MDSA)
Principal Investigator: Peter Fox
Description: Augment Giovanni, the Goddard online tool for data access, visualization and analysis, with semantic web technologies and ontologies to support data inter-comparisons from different sensors or models. Data provenance (i.e. the essential data parameter details, quality and production caveats) will be added to enable researchers to make valid data comparisons and draw quantitative conclusions on specific analysis (e.g. ocean fertilization due to acid rain). In the resulting Giovanni framework, the dataset variable characteristics and related quality can be encoded so that inter-comparison rules can be derived.
TW LogoNeon Educational System for Data Access and Analysis (NESDAA)
Principal Investigator: Peter Fox and Dennis Ward
Description: To enable advanced undergraduate students and facilitator to have access to learning materials and associated artefacts like data, code, workflows [e.g. Taverna], scientific literature, and more.
OOI-CI-SP LogoOcean Observing Initiative: Cyber-Infrastructure - Semantic Prototype (OOI-CI-SP)
Principal Investigator: Peter Fox
Description: Design and Develop a Faceted Browse application to allow scientists to semantically search data related to Ocean Sciences
PEO Project LogoProcess and Event Ontologies (PEO)
Principal Investigator: Peter Fox
Description: The PEO project investigates methods for representation and interpretation of scientific and natural processes and events. Project LogoRensselaer Polytechnic Institute Data Services (
Principal Investigator: Peter Fox and Jim Hendler
Description: Providing data storage, data services, data access, data discovery, data search, and data lifecycle and management for RPI research projects.
TW LogoResearch Data Alliance Adoption Initiatives (RDA Adoption)
Principal Investigator: Peter Fox
Co Investigator: Xiaogang Ma
Description: The Research Data Alliance (RDA) - Data Type Registry (DTR) Working Group addresses a part of a core problem relevant to interoperability among data management systems: the ability to parse, understand, and potentially reuse data retrieved from others. The RDA - Persistent Identifier Information Types (PIT) Working Group addresses the essential types of information associated with persistent identifiers. We have undertaken an effort to adopt the DTR and PIT outputs in the Data Portal of the Deep Carbon Observatory (DCO) and have received positive results.
SKIF Project LogoScientific Knowledge Integration Framework (SKIF)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Description: The overall goal of this effort is to bring together key aspects of intelligent systems, namely data mining / knowledge extraction and semantic knowledge representation, and to prove the benefit of this approach by applying it to a science problem that is representative of NASA Science Mission Directorate research interests.
SPCDIS Project LogoSemantic Provenance Capture in Data Ingest Systems (SPCDIS)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Description: The goal of this project is to develop at the RPI Tetherless World Constellation, based within the NCAR High Altitude Observatory and in collaboration with the University of Texas at El Paso, the University of Michigan and McGuinness Associates a semantically-enabled data ingest capability.
TW LogoSemantic Workflow and Management of Provenance (SWaMP)
Principal Investigator: Peter Fox
Description: A joint effort between the Tetherless World Constellation at Rensselaer Polytechnic Institute and the The Commonwealth Scientific and Industrial Research Organisation (CSIRO).
SeSF Project LogoSemantic eScience Framework (SeSF)
Principal Investigator: Peter Fox
Co Investigator: Jim Hendler and Deborah L. McGuinness
Description: Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this project will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, we will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.
S2S Project LogoSemantically Enabled Facetd Browser (S2S)
Principal Investigator: Peter Fox
Co Investigator: Stephan Zednik
Description: S2S is a user interface framework that leverages the machine-readable semantics of data, services, and user interface components, or "widgets". S2S automates various tasks in UI development for search interfaces.
SESDI Project LogoSemantically-Enabled Science Data Integration (SESDI)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Description: The vast majority of explorations of the Earth system are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. In many cases, syntax-only interoperability IS the state-of-the-art. In order for scientists and non-scientists to discover, access, and use data from unfamiliar sources, they are forced to learn details of the data schema, other people¿s naming schemes and syntax decisions. Our work is aimed at providing scientists with the option of describing what they are looking for in terms that are meaningful and natural to them, instead of in a syntax that is not. The missing element in enabling the higher-level interconnections is the technology of ontologies, ontology-equipped tools, and semantically aware interfaces between science components. Ontologies fill a major technology gap in machine-to-machine communication across multiple disciplines to advance Earth system science by enabling data integration without the need for human intervention. This project, the Semantically-Enabled Science Data Integration (SESDI), will demonstrate how ontologies implemented within existing distributed technology frameworks will provide essential, re-useable, and robust, support for an evolution to science measurement processing systems (or frameworks) as well as for data and information systems (or framework) support for NASA Science Focus Areas and Applications.
DCO-DS LogoStrawberry Fields Forever (SFF)
Principal Investigator: Johannes Goebel and Peter Fox
Description: The project addresses a key problem in Creative IT — the ubiquitous need for an integrative tool that allows rapid innovation and dissemination in new and interdisciplinary fields of research.
DCO-DS LogoVirtual Solar Terrestrial Observatory (VSTO)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Description: VSTO is a collaborative project between the High Altitude Observatory and Scientific Computing Division of the National Center for Atmospheric Research and McGuinness Associates. VSTO is funded by a grant from the National Science Foundation, Computer and Information Science and Engineering (CISE) in the Shared Cyberinfrastructure (SCI) division.

Project CO-PI

MetPetDB LogoA Database for Metamorphic Petrology (MetPetDB)
Principal Investigator: Frank Spear
Co Investigator: Peter Fox
Description: MetPetDB is a database for metamorphic petrology that is being designed and built by a global community of metamorphic petrologists in collaboration with computer scientists at Rensselaer Polytechnic Institute as part of the National Cyberinfrastructure Initiative and supported by the National Science Foundation.
AeroStat (AeroStat)
Principal Investigator: Greg Leptoukh
Co Investigator: Peter Fox and Christopher Lynnes
Description: Objective Provide online environment for convenient access to: Satellite and ground-based aerosol data Quality information and provenance Calibration/validation data Provide multi-sensor services: Multi-sensor and model intercomparison Cross-sensor bias adjustment Data merging Create collaborative environment for aerosol researchers to share ideas, workflows and results
DQSSData Quality Screening Service (DQSS)
Principal Investigator: Christopher Lynnes
Co Investigator: Peter Fox, Ed Olsen, Bruce Vollmer, and Robert Wolfe
Description: Objective Make data quality information easy to use for the water cycle community Expert and non-specialist users alike Human and machine users alike Connect users seamlessly to best practices in data quality handling, i.e., the science team recommendations for quality screening (filtering) Enable higher and more correct utilization of data quality indicators in data analysis
DOfAMP Project LogoDeveloping Ontologies for Additive Manufacturing Processes (DOfAMP)
Principal Investigator: Jim Hendler
Co Investigator: Peter Fox
Description: We propose the development of the field of materials processing ontology so that the US establishes leadership in this critical technological arena. The goal is the development of a framework, language and algorithm set for organizing and categorizing the myriad relationships between materials processing, properties and structure. No ubiquitous framework currently exists for relating materials processing parameters to properties and structure that translates across multiple materials fields and technologies. In essence, an advanced “Dewey Decimal System” is needed for materials processing, such that data and knowledge that is developed in one materials processing technology can cross-pollinate across other materials technologies.
Resource Discovery for Extreme Scale Collaboration (RDESC)
Principal Investigator: Jesse Weaver, Eric Stephan, and Karen Schuchardt
Co Investigator: Alan Chappell and Peter Fox
Description: Our objective is to develop a capability for describing, linking, searching and discovering resources used in collaborative science that is lightweight enough to be used as a component in any software system such as desktop user environments or dashboards but also scalable to millions of resources. A key design goal is to offer local control over resource descriptions thus reducing one of the bottlenecks to widespread adoption. We propose to build a prototype framework and associated services, the Resource Discovery for Extreme Scale Collaboration (RDESC), that meet these objectives.
SSIII LogoSemantic Sea Ice Interoperability Initiative (SSIII)
Principal Investigator: Siri Jodha Singh Khalsa, Ruth Duerr, and Mark Parsons
Co Investigator: Peter Fox and Deborah L. McGuinness
Description: SSIII is a National Science Foundation (NSF) funded effort to enhance the interoperability of sea ice data to establish a network of practitioners working to enhance semantic interoperability of all Arctic data. SSIII is a collaborative project between NSIDC and the Rensselaer Polytechnic Institute (RPI) Tetherless World Constellation project. We seek to build on the work initiated under the International Polar Year (IPY) and create a community of practice working to improve interoperability within the Polar Information Commons (PIC), the Sustained Arctic Observing Network (SAON), and broader global systems.
TAF LogoThe Asthma Files (TAF)
Principal Investigator: Michael Fortun
Co Investigator: Peter Fox
Description: The Asthma Files is an electronic archive of text, still images, video and audio that illustrate multiple perspectives on asthma-- from the vantage point of affected people in different locales and communities, heath care providers, and scientists from many different disciplines.

Project Collaborator

Jefferson Project at Lake George Project LogoE-Science Jefferson Project on Lake George (Jefferson Project)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Paulo Pinheiro
Description: The Jefferson Project at Lake George is building one of the world’s most sophisticated environmental monitoring and prediction systems, which will provide scientists and the community with a real-time picture of the health of the lake. Launched in June 2013, the project aims to understand and manage multiple complex factors—including road salt incursion, storm water runoff, and invasive species—all threatening one of the world’s most pristine natural ecosystems and an economic cornerstone of the New York tourism industry. The project is a three-year, multimillion-dollar collaboration between Rensselaer Polytechnic Institute, IBM, and The FUND for Lake George. The collaboration partners expect that the world-class scientific and technology facility at the Rensselaer Darrin Fresh Water Institute at Lake George will create a new model for predictive preservation and remediation of critical natural systems in Lake George, in New York, and ultimately around the world.
HAO-CI LogoHigh Altitude Observatory - CyberInferstructure (HAO-CI)
Description: Working to develop a semantically enabled cyber infrastructure for the varying science projects within the High Altitude Observatory of the University Corporation of Atmospheric Research.
NOCV Project LogoNational Ocean Council Vocabulary (NOCV)
Description: The objective of the NOCV project is to demonstrate technical capabilities that are available and can be deployed to implement solutions to key needs identified in the National Ocean Policy in regard to data and the decision-support requirements that arise from data-oriented questions.
Description: Tasks for various TWC projects related to data access and the OPeNDAP software products.
TWC Project LogoTWC Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Description: provides a collection of schemas — html tags — that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google, Yahoo! and Yandex rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Since early 2012 researchers at TWC RPI have been working with government and research data providers to define vocabularies for expressing the structured data that powers their web sites, using on-page markup based on vocabularies. In particular, we developed the extension, a concise vocabulary that extends for describing datasets and data catalogs. Current work includes applying Dataset to scientific datasets and developing new extensions for use by Web Observatories