Stephan Zednik's Projects

Printer-friendly version
Stephan Zednik
Contact Info
Emailzednis2@rpi.edu
Additional Info

Announcements
Publications
Presentations
Projects
Calendar

Project CO-PI

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.

Project Collaborator

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
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.
DQSSData Quality Screening Service (DQSS)
Principal Investigator: Christopher Lynnes
Co Investigator: Peter Fox
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
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.
Earth System Grid - Center for Enabling Technologies (ESG-CET)
Principal Investigator: Dean Williams and Peter Fox
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.
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.
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.
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.
data.rpi.edu Project LogoRensselaer Polytechnic Institute Data Services (Data.rpi.edu)
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.
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.
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.
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.