Federating heterogeneous datasets to enhance data sharing and experiment reproducibility

Juan C. Prieto; Beatriz Paniagua; Marilia S. Yatabe; Antonio C. O. Ruellas; Liana Fattori; Luciana Muniz; Martin Styner; Lucia Cevidanes

doi:10.1117/12.2254689

13 March 2017 Federating heterogeneous datasets to enhance data sharing and experiment reproducibility

Juan C. Prieto, Beatriz Paniagua, Marilia S. Yatabe, Antonio C. O. Ruellas, Liana Fattori, Luciana Muniz, Martin Styner, Lucia Cevidanes

Author Affiliations +

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101372J (2017) https://doi.org/10.1117/12.2254689
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Recent studies have demonstrated the difficulties to replicate scientific findings and/or experiments published in past.¹ The effects seen in the replicated experiments were smaller than previously reported. Some of the explanations for these findings include the complexity of the experimental design and the pressure on researches to report positive findings. The International Committee of Medical Journal Editors (ICMJE) suggests that every study considered for publication must submit a plan to share the de-identified patient data no later than 6 months after publication. There is a growing demand to enhance the management of clinical data, facilitate data sharing across institutions and also to keep track of the data from previous experiments. The ultimate goal is to assure the reproducibility of experiments in the future. This paper describes Shiny-tooth, a web based application created to improve clinical data acquisition during the clinical trial; data federation of such data as well as morphological data derived from medical images; Currently, this application is being used to store clinical data from an osteoarthritis (OA) study. This work is submitted to the SPIE Biomedical Applications in Molecular, Structural, and Functional Imaging conference.

Citation Download Citation

Juan C. Prieto, Beatriz Paniagua, Marilia S. Yatabe, Antonio C. O. Ruellas, Liana Fattori, Luciana Muniz, Martin Styner, and Lucia Cevidanes "Federating heterogeneous datasets to enhance data sharing and experiment reproducibility", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372J (13 March 2017); https://doi.org/10.1117/12.2254689

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available