Towards ensuring reproducibility of outsourced data generation.
"Big data" generated from outsourced or centralized facilities often lacks methodological information. Here, we outline how and why researchers, service providers, and other parties should report on methodology and sample metadata to improve scientific reproducibility.
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.3002988 |
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| Summary: | "Big data" generated from outsourced or centralized facilities often lacks methodological information. Here, we outline how and why researchers, service providers, and other parties should report on methodology and sample metadata to improve scientific reproducibility. |
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| ISSN: | 1544-9173 1545-7885 |