On the Secure Sharing and Aggregation of Data to Support Systems Biology Research

被引:0
|
作者
Simpson, Andrew [1 ]
Slaymaker, Mark [1 ]
Gavaghan, David [1 ]
机构
[1] Univ Oxford, Comp Lab, Oxford OX1 3QD, England
来源
关键词
DATA INTEGRATION; DRIVEN FRAMEWORK; LIFE SCIENCES; MODEL;
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The development of tools and technologies to facilitate appropriate and effective data sharing is becoming increasingly important in many academic disciplines. In particular, the 'data explosion' problem associated with the Life Sciences has been recognised by many researchers and commented upon widely, as have the associated data management problems. In this paper we describe how a middleware framework that supports the secure sharing and aggregation of data from heterogeneous data sources developed initially to underpin the sharing of healthcare-related data-is being used to support Systems Biology research at the University of Oxford. As well as giving an overview of the framework and its application, we attempt to set our work within the wider context of the emerging challenges associated with data sharing within the Life Sciences.
引用
收藏
页码:58 / 73
页数:16
相关论文
共 50 条
  • [1] The Importance of Sharing Data in Systems Biology
    Wood-Charlson, Elisha M.
    [J]. METABOLITES, 2023, 13 (01)
  • [2] Secure and Efficient Sharing Aggregation Scheme for Data Protection in WSNs
    Bouakkaz, Feriel
    Omar, Mawloud
    Bounceur, Ahcene
    Tari, Abdelkamel
    [J]. 2015 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2015, : 432 - 437
  • [3] Preparing To Support Research Data Sharing
    Li, Ye
    Tschirhart, Lori
    [J]. SPECIAL ISSUES IN DATA MANAGEMENT, 2012, 1110 : 145 - 162
  • [4] Preparing to support research data sharing
    Shapiro Science Library, University of Michigan, Ann Arbor, MI 48109, United States
    [J]. ACS Symp. Ser, 2012, (145-162):
  • [5] An efferent and secure outsourced data aggregation using location sharing services
    Bikku, Thulasi
    [J]. Revue d'Intelligence Artificielle, 2019, 33 (01) : 53 - 60
  • [6] Secure and Efficient Data Aggregation for IoT Monitoring Systems
    Rezaeibagha, Fatemeh
    Mu, Yi
    Huang, Ke
    Chen, Lanxiang
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (10): : 8056 - 8063
  • [7] Secure Data Sharing in Federated Learning through Blockchain-Based Aggregation
    Liu, Bowen
    Tang, Qiang
    [J]. FUTURE INTERNET, 2024, 16 (04)
  • [8] THE SEEK: A PLATFORM FOR SHARING DATA AND MODELS IN SYSTEMS BIOLOGY
    Wolstencroft, Katy
    Owen, Stuart
    du Preez, Franco
    Krebs, Olga
    Mueller, Wolfgang
    Goble, Carole
    Snoep, Jacky L.
    [J]. METHODS IN ENZYMOLOGY, VOL 500: METHODS IN SYSTEMS BIOLOGY, 2011, 500 : 629 - 655
  • [9] Fine-grained Encryption for Secure Research Data Sharing
    Reis, Lucio H. A.
    de Oliveira, Marcela T.
    Olabarriaga, Silvia D.
    [J]. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2022, : 465 - 470
  • [10] Development of a Secure Data Sharing Mechanism for IoT Application Systems
    Kitagawa, Naoya
    Takefusa, Atsuko
    Aida, Kento
    [J]. PROCEEDINGS OF THE 2022 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (IEEE CLOUDNET 2022), 2022, : 131 - 135