what is primary data

Introduction

Primary data refers to the raw, unprocessed data collected directly from original sources for a specific research purpose. This type of data is crucial in various fields, including healthcare, where it is gathered through direct measurements, observations, or experiments.

Key Insights

Direct Collection and Quality:
- Primary data is collected directly from the source, ensuring high quality and completeness, which is advantageous over large quantities of non-standardized secondary data.
- The collection process involves direct measurements before any manipulation or data reduction, ensuring the integrity of the data.
Use in Research and Clinical Work:
- Primary care data is the richest source of routine healthcare data, essential for both research and clinical applications.
- It requires integration from multiple clinical sites and databases, highlighting the importance of data interoperability.
Data Collection Methods:
- The collection of primary data can be time-consuming and resource-intensive, involving various devices like transducers to convert physical measurements into usable signals.
- Despite the effort required, primary data collection is crucial for accurate and reliable research outcomes .

Conclusion

Primary data is essential for high-quality, reliable research, especially in healthcare. It involves direct collection from original sources, ensuring data integrity and completeness. While the process can be time-consuming, the benefits of having standardized, high-quality data outweigh the challenges. Effective integration and interoperability of primary data from various sources are crucial for its optimal use in research and clinical practice.

What is primary data

Summary

Introduction

Key Insights

Conclusion

Sources and full results

Primary and secondary patient data in contrast: the use of observational studies like RABBIT.

Primary patient data collection, like RABBIT, offers high quality and completeness, offering advantages over secondary data collection and maintaining its impact on daily clinical practice.

Clinical Data Integration Model

The Clinical Data Integration Model (CDIM) is a flexible and extensible framework for semantic interoperability in primary care research, supporting EHR-driven phenotyping research using primary care data.

Measurement of Primary Data

Primary data is acquired using transducers, which convert physical variables into electrical voltages for use in microcomputer-based data-acquisition systems.

Secondary uses of clinical data in primary care.

Secondary uses of primary care clinical data in pay-for-performance, public disclosure, clinical audit, health resource planning, and clinical system usage raise issues like data quality, security, and confidentiality.

Data Resource Profile: Clinical Practice Research Datalink (CPRD)

The Clinical Practice Research Datalink (CPRD) is a rich source of health data for research, covering over 11.3 million patients from 674 practices in the UK, with a broad range of health outcomes.

Identifying and sourcing data for secondary research

Secondary data sources for built environment research include academic, government, and social media databases, with considerations for data quality and accessibility.

Embedded infrastructure for primary data in chemistry

An embedded infrastructure for primary data in chemistry should be persistently stored in a central database, linked, citable, accessible, and searchable, with extended metadata for describing and searching within the data itself.

Clinical data integration model. Core interoperability ontology for research using primary care data.

The Clinical Data Integration Model (CDIM) is a flexible and extensible framework for interoperability between health record systems and research systems, supporting EHR-driven phenotyping research using primary care data.

Primary, Secondary, and Meta-Analysis of Research1

Meta-analysis of research is crucial for integrating findings from individual studies, addressing the growing research literature on education topics.

Transparent Practices: Primary and Secondary Data in Business Ethics Dissertations

Business ethics research predominantly uses primary data, despite strong methodological reasons to augment it with secondary data.

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