Toward a Unified Timestamp with explicit precision
Justus Benzler and
Samuel J. Clark
Additional contact information
Justus Benzler: Africa Centre for Health and Population Studies
Samuel J. Clark: Ohio State University
Demographic Research, 2005, vol. 12, issue 6, 107-140
Abstract:
Demographic and health surveillance (DS) systems monitor and document individual- and group-level processes in well-defined populations over long periods of time. The resulting data are complex and inherently temporal. Established methods of storing and manipulating temporal data are unable to adequately address the challenges posed by these data. Building on existing standards, a temporal framework and notation are presented that are able to faithfully record all of the time-related information (or partial lack thereof) produced by surveillance systems. The Unified Timestamp isolates all of the inherent complexity of temporal data into a single data type and provides the foundation on which a Unified Timestamp class can be built. The Unified Timestamp accommodates both point- and interval-based time measures with arbitrary precision, including temporal sets. Arbitrary granularities and calendars are supported, and the Unified Timestamp is hierarchically organized, allowing it to represent an unlimited array of temporal entities.
Keywords: demographic surveillance; standardization; temporal databases; temporal integrity; timestamp; valid time (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.demographic-research.org/volumes/vol12/6/12-6.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dem:demres:v:12:y:2005:i:6
DOI: 10.4054/DemRes.2005.12.6
Access Statistics for this article
More articles in Demographic Research from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Editorial Office ().