Bulk pharmaceutical research data management
1982
Bulk Pharmaceutical Research Data Management
publication
Author Information
Author(s): H. B. Woodruff, L. Funding, Y. Bergqvist, G. Barbaresi, C. R. Milner, T. J. Sly
Primary Institution: Merck, Sharp & Dohme Research Laboratories
Conclusion
Computerizing the storage and retrieval of analytical results can significantly improve sample tracking in laboratories.
Supporting Evidence
- Modern analytical instruments generate large amounts of data quickly.
- Manual data transcription is time-consuming and prone to errors.
- User-friendly software is crucial for effective data management.
Takeaway
This study shows that using computers to manage lab data makes it easier for scientists to find and track samples.
Methodology
A package of computer programs was developed and implemented in a laboratory to improve data management.
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