Novel Data Sharing Agreement to Accelerate Big Data Translational Research Projects in the One Health Sphere

被引：2

作者：

Staley, Joshua ^{[3
]}

Mazloom, Reza ^{[4
]}

Lowe, Paul ^{[5
]}

Newsum, C. T. ^{[6
]}

Jaberi-Douraki, Majid ^{[4
]}

Riviere, Jim ^{[3
]}

Wyckoff, Gerald J. ^{[1
,2
]}

机构：

[1] Univ Missouri, Sch Biol & Chem Sci, Mol Biol & Biochem, Spencer Hall,Room 522,5009 Rockhill Rd, Kansas City, MO 64110 USA

[2] Univ Missouri, Sch Pharm, Div Pharmacol & Pharmaceut Sci, Kansas City, MO 64110 USA

[3] Kansas State Univ, Vet Biomed Sci, Olathe 22201 West Innovat Dr, Olathe, KS USA

[4] Kansas State Univ, Dept Anat & Physiol, Inst Computat Comparat Med, Manhattan, KS 66506 USA

[5] Kansas State Univ, Off Vice President Res, Manhattan, KS 66506 USA

[6] Aratana Therapeut Inc, 11400 Tomahawk Creek Pkwy 340, Leawood, KS USA

来源：

TOPICS IN COMPANION ANIMAL MEDICINE | 2019年 / 37卷

关键词：

data sharing; one health; public-private partnership; data analysis; legal issues; translational research; big data;

D O I：

10.1016/j.tcam.2019.100367

中图分类号：

S85 [动物医学（兽医学）];

学科分类号：

0906 ;

摘要：

When conducting translational research, the ability to share data generated by researchers and clinicians working with for-profit companies is essential, particularly in cases that involve "one health" data (i.e., data that could come from human, animal, or environmental sources). The 1DATA Project, a collaboration between Kansas State University and the University of Missouri, has examined and overcome some of the barriers to sharing this information for "big data" projects. This article discusses some of the obstacles we encountered, and the ways those obstacles can be surmounted via a novel form of Master Sharing Agreement. Developed in collaboration with industry partners, it is presented here as a template for expediting future one health work. (C) 2019 Elsevier Inc. All rights reserved.

引用

页数：6

共 50 条

[31] Big Heart Data: Advancing Health Informatics Through Data Sharing in Cardiovascular Imaging
Suinesiaputra, Avan
Medrano-Gracia, Pau
Cowan, Brett R.
Young, Alistair A.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2015, 19 (04) : 1283 - 1290
[32] Data and subject heterogeneity and data sharing: keys to translational success in spinal cord injury research?
Fouad, Karim
Wireman, Olivia H.
Gensel, John C.
NEURAL REGENERATION RESEARCH, 2023, 18 (08) : 1730 - 1731
[33] Data and subject heterogeneity and data sharing:keys to translational success in spinal cord injury research?
Karim Fouad
Olivia H.Wireman
John C.Gensel
Neural Regeneration Research, 2023, 18 (08) : 1730 - 1731
[34] Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
Hemingway, Harry
Asselbergs, Folkert W.
Danesh, John
Dobson, Richard
Maniadakis, Nikolaos
Maggioni, Aldo
van Thiel, Ghislaine J. M.
Cronin, Maureen
Brobert, Gunnar
Vardas, Panos
Anker, Stefan D.
Grobbee, Diederick E.
Denaxas, Spiros
EUROPEAN HEART JOURNAL, 2018, 39 (16) : 1481 - +
[35] Big Data and Health Research—The Governance Challenges in a Mixed Data Economy
Søren Holm
Thomas Ploug
Journal of Bioethical Inquiry, 2017, 14 : 515 - 525
[36] Trends in big data analyses by multicenter collaborative translational research in psychiatry
Onitsuka, Toshiaki
Hirano, Yoji
Nemoto, Kiyotaka
Hashimoto, Naoki
Kushima, Itaru
Koshiyama, Daisuke
Koeda, Michihiko
Takahashi, Tsutomu
Noda, Yoshihiro
Matsumoto, Junya
Miura, Kenichiro
Nakazawa, Takanobu
Hikida, Takatoshi
Kasai, Kiyoto
Ozaki, Norio
Hashimoto, Ryota
PSYCHIATRY AND CLINICAL NEUROSCIENCES, 2022, 76 (01) : 1 - 14
[37] Data science in clinical and translational research: Improving the health of the data to knowledge pipeline
Lindsell, Christopher J.
Pomann, Gina-Maria
Oster, Robert A.
Mooney, Sean D.
Enders, Felicity T.
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE, 2021, 5 (01)
[38] What can the era of big data and big data analytics mean for health services research?
Cromwell, David
JOURNAL OF HEALTH SERVICES RESEARCH & POLICY, 2025, 30 (01) : 1 - 2
[39] Cross-Sectoral Big Data: The Application of an Ethics Framework for Big Data in Health and Research
Laurie, Graeme T.
ASIAN BIOETHICS REVIEW, 2019, 11 (03) : 327 - 339
[40] Big data and research with health data in the statutory health insurance; [Big Data und Forschung mit Gesundheitsdaten in der gesetzlichen Krankenversicherung]
Spindler G.
Medizinrecht, 2016, 34 (9) : 691 - 699

← 1 2 3 4 5 →