Data Integrity in Research: What Does It Mean and How Do We Achieve It?
Listicle May 25, 2021 | Naomi Heffer
Data integrity is a broad term that describes the overall accuracy, consistency and completeness of a dataset. In the context of research, maintaining data integrity also includes making sure that data is accessible to those seeking to validate it. Problems with data integrity exist across all industries, but the consequences for those working in science can be particularly serious given the role that scientific research plays in informing policy, healthcare, education and other fundamental aspects of society.
Download this listicle to learn about:
- The importance of data integrity in research
- Data integrity in the digital age
- Improving data integrity
Like what you just read? You can find similar content on the communities below.Analysis & Separations Applied Sciences Biopharma Cancer Research Cell Science Diagnostics Drug Discovery Genomics Research Proteomics & Metabolomics Neuroscience Immunology & Microbiology
To personalize the content you see on Technology Networks homepage, Log In or Subscribe for FreeLOGIN SUBSCRIBE FOR FREE