Project Lead, MODIS
Manager, Data Stewardship
B.S., Summa Cum Laude, University of North Dakota, 1977
M.S., University of Arizona, 1980
Graduate Certificate in Science and Technology Policy, University of Colorado
at Boulder, 2007
Specialties [top]
Science data management, digital archives management, records
management, and digital library science; software and system engineering.
Recent Highlights top]
National Snow and Ice Data Center, Boulder, CO, 2002-present
Alaska Satellite Facility, University of Alaska, Fairbanks,
1992-2002
Current Roles [top]
Duerr is currently is the manager of NSIDC’s data stewardship
program, and data scientist for the MODIS and PARCA programs.
Her research interests involve nearly
all aspects of data stewardship. Her recent activities include a NASA-sponsored
activity that demonstrated the feasibility of using the PREMIS metadata
standard with NSIDC data holdings at the data set level; testing mechanisms
for improving the long-term recoverability of data in NASA’s
archive that are in outdated data formats; and a NOAA-sponsored
project, working with the science community
to introduce production of detailed metadata into the product development
process.
Duerr is also working with NASA’s Technology Infusion
working group to identify data stewardship-related technology and standards
gaps, to assess the readiness levels of existing standards and technologies,
and to recommend data stewardship-related technologies for adoption.
PI, Community-Enabled Discovery, Access, Publishing, and Enhancement (CEDDAPE): Enabling an Information Commons
This project, funded by NSF, will develop a working prototype of a federated and community-enabled approach to data sharing, discovery, and enhancement. The primary goal is to help lower barriers to data publishing, annotation, and enhancement while maintaining the authority and heritage information provided by formal archives.
Co-I, Creation And Preservation Of A Sea Ice Climate Data Record
This project, funded by the NOAA Scientific Data Stewardship Program, will help NSIDC add higher-resolution AMSR data to the existing SMMR and SSM/I passive microwave instrument-based sea ice concentration record, and will improve the metadata attached to the record. NSIDC bases most of our sea ice tracking on the passive microwave sea ice concentration record.
Co-I, Cryospheric Change Analysis Web Services Project
The Cryospheric Change Analysis Web Services (CCAWS) project is funded by NASA to develop a scalable cryospheric analysis portal for the study of Greenland's ice mass balance. This portal will include interactive data analysis tools, seamless data access, and interoperable information services. To make this possible, a set of existing subsetting, gridding, projection, and visualization tools at NSIDC will be made into modular Web services. Also, as part of this project, NSIDC will bring in several new data sets.
PI for the University of Colorado component of the Data Conservancy
The Data Conservancy is funded by NSF and sponsored by the Johns Hopkins University. This collaborative project will build an infrastructure to manage digital information and enable ease of access within and across disciplines. Sayeed Choudhury, associate dean of Johns Hopkins University libraries, is the overall project PI.
PI, Discovery and Access to Historic Literature from the IPYs
(DAHLI)
DAHLI, partly funded through NOAA's Climate Database Modernization
Program (CDMP) is developing an online bibliography of records and
publications from past International Polar Year (IPY) events: 1882-1883,
1932-1933, and 1957-1958. Materials may include scientific research,
scientific observations and data, sociological data, and historical
data. DAHLI will stimulate the discovery and preservation of these
rare and uncatalogued items, estimated to be several thousand documents,
in archives around the world. Current activities include digitization
of materials related to the first and second IPYs, held at the Carnegie
Institute.
Co-PI, Improving Long-term Preservation of EOS Data by Independently Mapping HDF Data Objects
The NASA Earth Observing System has more than a petabyte of critical earth science data stored in the HDF4 format. The normal way to access HDF-formatted data is through the HDF software libraries, either by using the HDF Application Programming Interface (API) directly or by using HDF tools that depend on the HDF libraries. However there is a risk in depending solely on the HDF libraries to access HDF-formatted data over the long term. It is possible, especially in the distant future, that the libraries may not be as readily available as they are today. To address this risk, it is desirable to have a way to retrieve the data independently.
The goal of this project is to make HDF4 data accessible through markup-language-based tools, and to begin the process of deploying these capabilities at NASA data centers. The team will also investigate how this approach can be applied to the body of EOS data that is archived in HDF5 format in order to facilitate long-term access independently from using the HDF library and tools.
Co-PI for the CU component of the Product Development Team for Snow and Ice Climate Data Records
This is a multi-institutional project funded by the NOAA National Environmental Satellite, Data, and Information Service (NESDIS). Collaborating institutions include the Cooperative Institute for Meteorological Satellite Studies (CIMSS), the University of Wisconsin, NASA Goddard Space Flight Center (GSFC), the University of Colorado (CU), and the National Snow and Ice Data Center housed within the CU/NOAA Cooperative Institute for Research in Environmental Sciences (CIRES).
The Cryosphere Product Development Team formed under this project will coordinate the generation, validation, and archiving of fundamental and thematic snow and ice climate data records. Our goal is to refine, extend, validate, document, and archive visible, infrared, and passive microwave cryosphere products. We will build on existing efforts, interacting with other funded products, as appropriate. We will coordinate existing and new products and will update heritage products to allow NOAA to continue with their production and dissemination into the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preperatory Project and NPOESS era. We will establish “best practices” within the Team and for the broader cryosphere community, evaluating gridding options, consistency within and between similar products, and metada
Co-I, Investigation and Tool Development for Storing NASA ECS
Data Using HDF5 Archival Information Package (AIP)
This project, funded by the NOAA Scientific Data
Stewardship Program, will demonstrate one solution to the challenges
of both archiving and distributing remote sensing data, namely
migration of data to a single standards-based archive format. Data
from NASA’s Earth
Observing System (EOS) Data Centers formatted in Hierarchical Data
Format (HDF) will be used in the demonstration.
Yang, MuQun, Ruth Duerr,
and Choonghwan Lee. 2009. Investigation
of Using HDF5 Archival Information Packages (AIP) to store NASA ECS
data. Presented at the 89th AMS Annual Meeting, January 2009,
Phoenix, Arizona.
Duerr, R., P. Cao, J.
Crider, M. Folk, C. Lynnes, and M. Yang. 2009. Ensuring long
term access to remotely-sensed data with layout maps. IEEE
Transactions on Geoscience and Remote Sensing 47:1, 123-129.
Duerr, R.,
M. Yang, and C. Lee. In press. Towards a standard archival format for
Earth science data: Storing NASA ECS data using HDF5 Archival Information
Packages (AIP). Proceedings of the 2008 IEEE International
Geoscience and Remote Sensing Symposium.
Weaver,
R.S., W. M. Meier, and R. M. Duerr. In press. Maintaining data
records: Practical decisions required For data set prioritization,
preservation, and access.
Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium.
Duerr, R., R. Weaver,
and M. A. Parsons. 2006. A new approach to preservation
metadata for scientific data: A real world example. Proceedings
of the 2006 IEEE International Geoscience and Remote Sensing Symposium
and 27th Canadian Symposium on Remote Sensing.
Duerr, R., M. Parsons,
M. Marquis, R. Dichtl, and T. Mullins. 2004. Challenges
in long-term data stewardship. Proc. 21st IEEE
Conference on Mass Storage Systems and Technologies. NASA/CP-2004-212750:
47-67.
Parsons, M.A., R. L. Weaver,
R. Duerr, and R. G. Barry. 2004. Data management considerations for
the International Polar Year. EOA Trans. Supplement
85 (47) F442, C23B-0.
Parsons, M.A. and R. Duerr.
2005. Designating user communities for scientific data: challenges
and solutions. Data
Science Journal 4:31-38.
Duerr, R. and E. Hansen.
1992. Shaping data systems through the EOS era: The UARS experience.
In Earth
and Space Science Information Systems. AIP Conference
Proceedings, Ed. Arthur Zygielbaum, 283: 80-88. New York: AIP.
Related Resources [top]
MODIS Data at NSIDC
NSIDC Publications: Presentations and Posters
Program for Arctic Regional
Climate Assessment (PARCA)
Cooperative Institute
for Research in Environmental Sciences (CIRES)
Contact NSIDC
User Services for more information.