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Robert M. Curtice

dblp:46/3586 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1981
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Data integration and cleaning · 62% Data models and query languages · 38%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › metadata management
data dictionary
0.011981
Data Dictionaries: An Assessment of Current Practice and Problems · VLDB 1981
Data integration and cleaning
data quality
0.011981
Fundamentals of Data Element Definition · SIGMOD Conference 1981
Data integration and cleaning
metadata management
0.011981
Data Dictionaries: An Assessment of Current Practice and Problems · VLDB 1981

Methods — techniques the papers use, named apart from their topics

data management techniques · 0.0data dictionary usage · 0.0
YearPublicationVenuePosition
1981 Fundamentals of Data Element Definition
abstract
The expanding use of data management techniques and, especially, an increase in data dictionary usage reflects the growing importance placed on data as a resource. While most organizations now recognize the need to provide good definitions for their data, few achieve a high quality data definition program. One of the possible reasons is that guidelines for data element definition are scarce. This paper explores the nature of data elements and provides guidelines for their definition.
Robert M. Curtice, P. E. Jones Jr.
SIGMOD Conference1
1981 Data Dictionaries: An Assessment of Current Practice and Problems
Robert M. Curtice
VLDB1