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Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology: A Cooperative Service Model

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Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology : A Cooperative Service Model. / Emmert-Streib, Frank; Dehmer, Matthias; Yli-Harja, Olli.

In: Frontiers in cell and developmental biology, Vol. 7, 349, 17.12.2019.

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@article{8b0987391e754493a46462bc634f2a96,
title = "Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology: A Cooperative Service Model",
abstract = "Modern molecular high-throughput devices, e.g., next-generation sequencing, have transformed medical research. Resulting data sets are usually high-dimensional on a genomic-scale providing multi-factorial information from intertwined molecular and cellular activities of genes and their products. This genomics-revolution installed precision medicine offering breathtaking opportunities for patient's diagnosis and treatment. However, due to the speed of these developments the quality standards of the involved data analyses are lacking behind, as exemplified by the infamous Duke Saga. In this paper, we argue in favor of a two-stage cooperative serve model that couples data generation and data analysis in the most beneficial way from the perspective of a patient to ensure data analysis quality standards including reproducible research.",
keywords = "biostatistics, computational biology, data science, genomics, oncology, precision medicine, reproducible research",
author = "Frank Emmert-Streib and Matthias Dehmer and Olli Yli-Harja",
year = "2019",
month = "12",
day = "17",
doi = "10.3389/fcell.2019.00349",
language = "English",
volume = "7",
journal = "Frontiers in cell and developmental biology",
issn = "2296-634X",
publisher = "Frontiers Media",

}

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TY - JOUR

T1 - Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology

T2 - A Cooperative Service Model

AU - Emmert-Streib, Frank

AU - Dehmer, Matthias

AU - Yli-Harja, Olli

PY - 2019/12/17

Y1 - 2019/12/17

N2 - Modern molecular high-throughput devices, e.g., next-generation sequencing, have transformed medical research. Resulting data sets are usually high-dimensional on a genomic-scale providing multi-factorial information from intertwined molecular and cellular activities of genes and their products. This genomics-revolution installed precision medicine offering breathtaking opportunities for patient's diagnosis and treatment. However, due to the speed of these developments the quality standards of the involved data analyses are lacking behind, as exemplified by the infamous Duke Saga. In this paper, we argue in favor of a two-stage cooperative serve model that couples data generation and data analysis in the most beneficial way from the perspective of a patient to ensure data analysis quality standards including reproducible research.

AB - Modern molecular high-throughput devices, e.g., next-generation sequencing, have transformed medical research. Resulting data sets are usually high-dimensional on a genomic-scale providing multi-factorial information from intertwined molecular and cellular activities of genes and their products. This genomics-revolution installed precision medicine offering breathtaking opportunities for patient's diagnosis and treatment. However, due to the speed of these developments the quality standards of the involved data analyses are lacking behind, as exemplified by the infamous Duke Saga. In this paper, we argue in favor of a two-stage cooperative serve model that couples data generation and data analysis in the most beneficial way from the perspective of a patient to ensure data analysis quality standards including reproducible research.

KW - biostatistics

KW - computational biology

KW - data science

KW - genomics

KW - oncology

KW - precision medicine

KW - reproducible research

U2 - 10.3389/fcell.2019.00349

DO - 10.3389/fcell.2019.00349

M3 - Article

VL - 7

JO - Frontiers in cell and developmental biology

JF - Frontiers in cell and developmental biology

SN - 2296-634X

M1 - 349

ER -