Data Harmonization for a Molecularly Driven Health System.
Publication
, Journal Article
Lee, JS-H; Kibbe, WA; Grossman, RL
Published in: Cell
August 23, 2018
Data commons have emerged as the best current method for enabling data aggregation across multiple projects and multiple data sources. Good data harmonization techniques are critical to maintain quality of data within a data commons, as well as to allow future meta-analysis across different data commons. We present some of the current best practices for data harmonization.
Duke Scholars
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Published In
Cell
DOI
EISSN
1097-4172
Publication Date
August 23, 2018
Volume
174
Issue
5
Start / End Page
1045 / 1048
Location
United States
Related Subject Headings
- Treatment Outcome
- Sequence Analysis, DNA
- Neoplasms
- Meta-Analysis as Topic
- Medical Informatics
- Information Dissemination
- Humans
- Genomics
- Developmental Biology
- Data Collection
Citation
APA
Chicago
ICMJE
MLA
NLM
Lee, J.-H., Kibbe, W. A., & Grossman, R. L. (2018). Data Harmonization for a Molecularly Driven Health System. Cell, 174(5), 1045–1048. https://doi.org/10.1016/j.cell.2018.08.012
Lee, Jerry Ssu-Hsien, Warren Alden Kibbe, and Robert Lee Grossman. “Data Harmonization for a Molecularly Driven Health System.” Cell 174, no. 5 (August 23, 2018): 1045–48. https://doi.org/10.1016/j.cell.2018.08.012.
Lee JS-H, Kibbe WA, Grossman RL. Data Harmonization for a Molecularly Driven Health System. Cell. 2018 Aug 23;174(5):1045–8.
Lee, Jerry Ssu-Hsien, et al. “Data Harmonization for a Molecularly Driven Health System.” Cell, vol. 174, no. 5, Aug. 2018, pp. 1045–48. Pubmed, doi:10.1016/j.cell.2018.08.012.
Lee JS-H, Kibbe WA, Grossman RL. Data Harmonization for a Molecularly Driven Health System. Cell. 2018 Aug 23;174(5):1045–1048.
Published In
Cell
DOI
EISSN
1097-4172
Publication Date
August 23, 2018
Volume
174
Issue
5
Start / End Page
1045 / 1048
Location
United States
Related Subject Headings
- Treatment Outcome
- Sequence Analysis, DNA
- Neoplasms
- Meta-Analysis as Topic
- Medical Informatics
- Information Dissemination
- Humans
- Genomics
- Developmental Biology
- Data Collection