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Title: Digital Preservation Ingest Parsing Service for Complex Data Objects

Abstract

Large scientific research efforts whether they are in academia, government or the private sector are usually comprised of diverse and geographically separated teams that collect data using various methods. The information that comprises a scientific study is often created in large quantities and vastly different formats and structures. Results may be produced from different software applications using a range of protocols, databases, and operating systems, creating a “Complex Data Object”. The computing industry, and more precisely, the field of knowledge management is faced with the significant challenge of how to best administer these digital assets in a fashion that provides efficient authoring and collaboration capabilities in the distributed team environment while still maintaining the historical scientific record. While ongoing efforts are addressing the problem of wide-area data management, less attention has been given to accurately capturing the scientific record of interest. In December 2004, at a Department of Energy (DOE) National Collaboratory Workshop, the “fossil record of science” was identified as a critical issue. The purpose of this research is to prove that the complex data object (CDO) can be transformed into a Digital Preservation Object (DPO) in order to meet the requirements for data provenance and long-term archival. Themore » second step of this research is to then prove that the inverse is also true, that a DPO can be extracted and transformed back to the same state as the original CDO for future inquiry.« less

Authors:
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
963607
Report Number(s):
PNNL-SA-47955
400904120; TRN: US200918%%348
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Emerging Trends and Challenges in Information Technology Management: 2006 International Conference of the Information Resources Management Association International Conference, May 21-24, Washington DC, 947-949
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; KNOWLEDGE MANAGEMENT; DATA BASE MANAGEMENT; DATA PROCESSING; Complex Data Object, Digitial Preservation, METS

Citation Formats

Flynn, Don F. Digital Preservation Ingest Parsing Service for Complex Data Objects. United States: N. p., 2006. Web.
Flynn, Don F. Digital Preservation Ingest Parsing Service for Complex Data Objects. United States.
Flynn, Don F. Mon . "Digital Preservation Ingest Parsing Service for Complex Data Objects". United States.
@article{osti_963607,
title = {Digital Preservation Ingest Parsing Service for Complex Data Objects},
author = {Flynn, Don F.},
abstractNote = {Large scientific research efforts whether they are in academia, government or the private sector are usually comprised of diverse and geographically separated teams that collect data using various methods. The information that comprises a scientific study is often created in large quantities and vastly different formats and structures. Results may be produced from different software applications using a range of protocols, databases, and operating systems, creating a “Complex Data Object”. The computing industry, and more precisely, the field of knowledge management is faced with the significant challenge of how to best administer these digital assets in a fashion that provides efficient authoring and collaboration capabilities in the distributed team environment while still maintaining the historical scientific record. While ongoing efforts are addressing the problem of wide-area data management, less attention has been given to accurately capturing the scientific record of interest. In December 2004, at a Department of Energy (DOE) National Collaboratory Workshop, the “fossil record of science” was identified as a critical issue. The purpose of this research is to prove that the complex data object (CDO) can be transformed into a Digital Preservation Object (DPO) in order to meet the requirements for data provenance and long-term archival. The second step of this research is to then prove that the inverse is also true, that a DPO can be extracted and transformed back to the same state as the original CDO for future inquiry.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {5}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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