NASA's Long-Term Archive (LTA) of ICESat Data at the National Snow and Ice Data Center (NSIDC)
Abstract
Data Stewardship, preservation, and reproducibility are becoming principal parts of a data manager's work. In an era of distributed data and information systems, where the host location ought to be transparent to the internet user, it is of vital importance that organizations make a commitment to both current and long-term goals of data management and the preservation of scientific data. NASA's EOS Data and Information System (EOSDIS) is a distributed system of discipline-specific archives and mission-specific science data processing facilities. Satellite missions and instruments go through a lifecycle that involves pre-launch calibration, on-orbit data acquisition and product generation, and final reprocessing. Data products and descriptions flow to the archives for distribution on a regular basis during the active part of the mission. However there is additional information from the product generation and science teams needed to ensure the observations will be useful for long term climate studies. Examples include ancillary input datasets, product generation software, and production history as developed by the team during the course of product generation. These data and information will need to be archived after product data processing is completed. Using inputs from the USGCRP Workshop on Long Term Archive Requirements (1998), discussions with EOS instrument teams, and input from the 2011 ESIPS Federation meeting, NASA is developing a set of Earth science data and information content requirements for long term preservation that will ultimately be used for all the EOS missions as they come to completion. Since the ICESat/GLAS mission is one of the first to come to an end, NASA and NSIDC are preparing for long-term support of the ICESat mission data now. For a long-term archive, it is imperative that there is sufficient information about how products were prepared in order to convince future researchers that the scientific results are accurate, understandable, useable, and reproducible. Our experience suggests data centers know what to preserve in most cases, i.e., the processing algorithms along with the Level 0 or Level 1a input and ancillary products used to create the higher-level products will be archived and made available to users. In other cases the data centers must seek guidance from the science team, e.g., for pre-launch, calibration/validation, and test data. All these data are an important part of product provenance, contributing to and helping establish the integrity of the scientific observations for long term climate studies. In this presentation we will describe application of information content requirements, guidance from the ICESat/GLAS Science Team and the flow of additional information from the ICESat Science team and Science Investigator-Led Processing System to the Distributed Active Archive Center.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2011
- Bibcode:
- 2011AGUFMIN53B1623F
- Keywords:
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- 0799 CRYOSPHERE / General or miscellaneous;
- 1912 INFORMATICS / Data management;
- preservation;
- rescue;
- 1948 INFORMATICS / Metadata: Provenance