Full Citation

Title: Best Practices with Large Databases on Historical Populations

Citation Type: Journal Article

Publication Year: 2001

ISBN:

ISSN:

DOI:

NSFID:

PMCID:

PMID:

Abstract: Since the late 1960s researchers who transform routinely generated primary sources into machine-readable data have produced numerous methodological articles and book chapters detailing the process of data creation and describing how the peculiarities of primary sources can affect interpretation of the data. However, in such articles, the best practices for creating large databases have usually been implicit rather than explicit . . .

Url: https://www.euppublishing.com/doi/pdfplus/10.3366/hac.2001.13.2.207

User Submitted?: No

Authors: Mandemakers, Kees; Dillon, Lisa

Periodical (Full): History & Computing

Issue: 2

Volume: 13

Pages: 207-216

Data Collections: IPUMS USA

Topics: Methodology and Data Collection, Other

Countries: