Alleviate: Hub for Pain

缓解：疼痛中心

• 批准号: MR/W014335/1
• 负责人: Emily Jefferson
• 金额: $ 258.99万
• 依托单位: University of Dundee
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FW014335%2F1
• 关键词: Alleviate; Hub; Pain

Our vision for the Alleviate Hub for Pain is to:- Transform existing UK pain datasets to be Findable, Accessible, Interoperable and Reusable (FAIR)- Link these datasets with expert data engineering, integrated into the Health Data Research (HDR) UK Gateway- Catalyse responsible and trustworthy analysis by international researchers and innovatorsOur UK-wide consortium will deliver world class health data infrastructure and services for pain research, guided by leading experts in pain research and in partnership with the NHS, Advanced Pain Discovery Platform (APDP) consortia, people with lived experience of chronic pain (PWLE) and industry. This consortium has a common desire and a commitment for change to a "data as infrastructure" approach. The fact that custodians of diverse datasets have chosen to join our consortium is testament to the need to develop new improved, more efficient methods of bringing everyone together under a common approach. Alleviate will engage directly with PWLE to maximise impact and patient benefit. We have already held our first 'In-Principle' meeting with 9 representatives, from diverse backgrounds, with 2 PWLE co-leading the Public and Patient Involvement and Engagement Work Package. The Dundee Health Informatics Centre (HIC) has considerable data engineering expertise and has provided leadership in health data science and research services for over a decade. Using a secure ISO27001 certified Trusted Research Environment (TRE)/Safe-Haven (where data security and safety is guaranteed) managed by HIC, Alleviate will: - Leverage existing open-source software and infrastructure to curate and manage data (research cohorts and routinely collected health (and social) care data), streamline access and support governance - Provide a modern, secure, and flexible design, benefitting from HIC's secure, scalable hybrid cloud 'Next-Generation' infrastructure; supported by cloud computing expertise from Amazon Web Services (AWS), enhancing an existing successful partnership- Support analysis of multi-modal data using artificial intelligence and machine learning (e.g. epidemiological, clinical, population health, genomics, imaging, psychological, social, biological)- Deliver a hybrid model of data access and management, i.e. supporting UK-wide data federation combined with a centralised model (Figure.1). The model will also support international datasets in the future- Enable pain research datasets and registries, facilitating their curation and further collaboration, linking with other HDR UK Hubs, related clinical datasets (e.g. mental health, cancer) and boosting their power and discovery potential for patient benefitOur consortium has a considerable track record:- Specific expertise in multi-centre pain-related data- Leading academics in pain research covering the range of data modalities across biological, psychological and social factors that influence pain. Our Co-I's are leading applicants in 4 separate APDP consortia bids- Experience in collaborating between clinical researchers, PWLE, laboratory scientists and data scientists at local, national and global level- Experience as a data processor for several health boards, Scottish Government, and many UK and international research cohorts- Existing HDR UK Alliance members and strong links with other hubs e.g. Breathe - Custodians of a TRE for secure analysis of health data at scale - Leading many HDR UK initiatives: Phenomics portal, Scottish Data Federation, Multiomics project, Biorepository management software, Imaging, open Connector, ATLAS- Enabling c.900 national and international research projects as a service provider (c.5years)- 'Big-data' pipelines for efficient operation including omics to explore the biopsychosocial model of chronic pain- Experience of building research networks and with ready access to the UKCRC Tissue Directory and Coordination Centre of over 200 biobanks

我们对疼痛缓解中心的愿景是：-将现有的英国疼痛数据集转换为可查找、可扩展、可互操作和可重用（FAIR）-将这些数据集与专家数据工程相链接，集成到健康数据研究（HDR）英国网关中-催化国际研究人员和创新者进行负责任和值得信赖的分析我们的英国范围内的联盟将为疼痛研究提供世界一流的健康数据基础设施和服务，由疼痛研究领域的领先专家指导，并与NHS、高级疼痛发现平台（APDP）联盟、有慢性疼痛生活经验的人（PWLE）和行业合作。这个联盟有一个共同的愿望，并承诺改变到一个“数据作为基础设施”的方法。不同数据集的托管人选择加入我们的联盟这一事实证明，需要开发新的改进，更有效的方法，将所有人聚集在一个共同的方法下。Alleviate将直接与PWLE合作，以最大限度地提高影响力和患者利益。我们已经与来自不同背景的9名代表举行了第一次“原则性”会议，其中2名PWLE共同领导了公众和患者参与和参与工作包。邓迪健康信息学中心（HIC）拥有相当多的数据工程专业知识，十多年来一直在健康数据科学和研究服务方面处于领先地位。使用安全的ISO27001认证的可信研究环境（TRE）/安全港（在保证数据安全的情况下），Alleviate将：- 利用现有的开源软件和基础设施来管理数据（研究队列和常规收集的健康（和社会）护理数据），简化访问并支持治理-提供现代，安全和灵活的设计，受益于HIC安全、可扩展的混合云“下一代”基础设施;由Amazon Web Services（AWS）的云计算专业知识提供支持，增强现有的成功合作伙伴关系-支持使用人工智能和机器学习分析多模态数据（例如流行病学、临床、人口健康、基因组学、成像、心理学、社会学、生物学）-提供数据访问和管理的混合模型，即支持英国范围内的数据联合与集中式模型相结合（图1）。该模型还将在未来支持国际数据集-启用疼痛研究数据集和登记，促进其管理和进一步合作，与其他HDR UK中心，相关临床数据集（例如精神健康、癌症），并提高其能力和发现潜力，使患者受益我们的联盟有着可观的业绩记录：- 多中心疼痛相关数据的具体专业知识-疼痛研究领域的领先学者，涵盖生物学，影响疼痛的心理和社会因素。我们的Co-I是4个独立的APDP联盟竞标的主要申请人-在地方，国家和全球层面的临床研究人员，PWLE，实验室科学家和数据科学家之间的合作经验-作为几个卫生委员会，苏格兰政府，以及许多英国和国际研究群体-现有的HDR英国联盟成员和与其他中心的密切联系，如呼吸-TRE的托管人，用于大规模安全分析健康数据-领导许多HDR UK计划：表型组学门户网站，苏格兰数据联合会，多组学项目，生物库管理软件，成像，开放连接器，ATLAS-作为服务提供商支持c.900个国家和国际研究项目（c.5years）-“大数据”管道用于有效操作，包括探索慢性疼痛的生物心理社会模型的组学-建立研究网络的经验，并随时访问由200多个生物库组成的UKCRC组织目录和协调中心

项目成果

A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study.

• DOI: 10.2196/40035
• 发表时间: 2022-12-27
• 期刊: JOURNAL OF MEDICAL INTERNET RESEARCH
• 影响因子: 7.4
• 作者: Jefferson, Emily;Cole, Christian;Mumtaz, Shahzad;Cox, Samuel;Giles, Thomas Charles;Adejumo, Sam;Urwin, Esmond;Lea, Daniel;Macdonald, Calum;Best, Joseph;Masood, Erum;Milligan, Gordon;Johnston, Jenny;Horban, Scott;Birced, Ipek;Hall, Christopher;Jackson, Aaron S.;Collins, Clare;Rising, Sam;Dodsley, Charlotte;Hampton, Jill;Hadfield, Andrew;Santos, Roberto;Tarr, Simon;Panagi, Vasiliki;Lavagna, Joseph;Jackson, Tracy;Chuter, Antony;Beggs, Jillian;Martinez-Queipo, Magdalena;Ward, Helen;von Ziegenweidt, Julie;Burns, Frances;Martin, Joanne;Sebire, Neil;Morris, Carole;Bradley, Declan;Baxter, Rob;Ahonen-Bishopp, Anni;Smith, Paul;Shoemark, Amelia;Valdes, Ana M.;Ollivere, Benjamin;Manisty, Charlotte;Eyre, David;Gallant, Stephanie;Joy, George;McAuley, Andrew;Connell, David;Northstone, Kate;Jeffery, Katie;Di Angelantonio, Emanuele;McMahon, Amy;Walker, Mat;Semple, Malcolm Gracie;Sims, Jessica Mai;Lawrence, Emma;Davies, Bethan;Baillie, John Kenneth;Tang, Ming;Leeming, Gary;Power, Linda;Breeze, Thomas;Murray, Duncan;Orton, Chris;Pierce, Iain;Hall, Ian;Ladhani, Shamez;Gillson, Natalie;Whitaker, Matthew;Shallcross, Laura;Seymour, David;Varma, Susheel;Reilly, Gerry;Morris, Andrew;Hopkins, Susan;Sheikh, Aziz;Quinlan, Philip
• 通讯作者: Quinlan, Philip

Embedding Patient and Public Involvement in the Alleviate Pain Data Hub

将患者和公众参与纳入缓解疼痛数据中心

• DOI: 10.5281/zenodo.8154717
• 发表时间: 2023
• 作者: Chuter A

The Alleviate Advanced Pain Discovery Platform Data Hub: A national resource for accessing and sharing pain data

Alleviate Advanced Pain Discovery Platform 数据中心：用于访问和共享疼痛数据的国家资源

• DOI: 10.5281/zenodo.8308433
• 发表时间: 2023
• 作者: Milligan G

The Alleviate Advanced Pain Discovery Platform Data Hub

缓解高级疼痛发现平台数据中心

• DOI: 10.5281/zenodo.7919382
• 发表时间: 2023
• 作者: Milligan G

Big data, big consortia, and pain: UK Biobank, PAINSTORM, and DOLORisk.

• DOI: 10.1097/pr9.0000000000001086
• 发表时间: 2023-09
• 期刊: Pain reports
• 影响因子: 4.8