TY - JOUR
T1 - Hiding in plain sight
T2 - a research parasite's perspective on new lessons in old data
AU - Skinnider, Michael A.
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press GigaScience.
PY - 2024
Y1 - 2024
N2 - High-throughput techniques that measure thousands of analytes at once have become ubiquitous features of biological research. The increasing expectation that the raw data generated by these techniques be deposited to public repositories creates rich opportunities for secondary analysis of these datasets. Such opportunities can take multiple forms. As the recipient of the 2023 Junior Research Parasite Award, I was asked to comment on the role of so-called research parasites within the ecosystem of secondary data analysis. Drawing on my own experiences, I discuss mechanisms by which reanalysis of published datasets can catalyze biological discoveries, produce resources that would be impossible to generate within a single laboratory, and drive the refinement of computational methods.
AB - High-throughput techniques that measure thousands of analytes at once have become ubiquitous features of biological research. The increasing expectation that the raw data generated by these techniques be deposited to public repositories creates rich opportunities for secondary analysis of these datasets. Such opportunities can take multiple forms. As the recipient of the 2023 Junior Research Parasite Award, I was asked to comment on the role of so-called research parasites within the ecosystem of secondary data analysis. Drawing on my own experiences, I discuss mechanisms by which reanalysis of published datasets can catalyze biological discoveries, produce resources that would be impossible to generate within a single laboratory, and drive the refinement of computational methods.
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U2 - 10.1093/gigascience/giae097
DO - 10.1093/gigascience/giae097
M3 - Review article
C2 - 39657102
AN - SCOPUS:85212913807
SN - 2047-217X
VL - 13
JO - GigaScience
JF - GigaScience
M1 - giae097
ER -