How to Reuse Secondary Data / Annelise Sklar.

Format:

Book

Author/Creator:

Sklar, Annelise, author.

Language:

English

Subjects (All):

Data sets.

Text data mining.

Physical Description:

1 online resource

Place of Publication:

London : SAGE Publications Ltd, 2025.

Summary:

Secondary data is data used in research other than its original intended purpose. Secondary data analysis allows researchers to efficiently investigate novel research questions and viewpoints by reusing existing datasets. The primary advantages of reusing existing data are cost and time savings for researchers, but datasets designed for reuse are also often larger and cover more or longer time periods. Experts and researchers in different academic disciplines and professional sectors collect, share, and reuse different types of data in the process of their work, and they typically publish findings and disseminate data through unique publication channels. These datasets may be quantitative, qualitative, or a combination of the two. Common methods of secondary data reuse include replication studies, comparative research, models and simulations, qualitative analysis, and mixed-methods approaches. Computational techniques such as geospatial mapping, text analysis, data mining, and machine learning have expanded the potential of secondary data, especially big data. However, researchers must carefully consider access restrictions, methodological fit, and the ethical and legal implications of reusing someone else's data, particularly when handling sensitive or personally identifiable information.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-03-622171-7

9781036221713

OCLC:

1523172469