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ISO 27001 is a target. BSO is registered with ICO – Z1715830 and processes personal data according to its Privacy policy\n\n✓ Security Measures: Physical presence needed and supervised at all times\n\n✓ No VM direct access  \n\n✓ No VM access control (no USB, copy/paste, internet access whitelisted or internal mirrors)  \n\nHDRNI SeRP:\n\n✓ Security Certifications: ISO 27001, NHS Toolkit, DEA Accreditations\n\n✓ Security Measures: Everything needed to gain ISO, 2FA, multi vender firewalls, DES. 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Source code developed within the environment\n\n✗ Export plans: No\n\n✓ Data transmit to other SAFE Settings: Partnership with ADRNI and NILS \n\n✓ Statistical disclosure control process in place",
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  			'The Secure Research Service (SRS) operates within the Five Safes Framework, which is a set of principles that safeguard access to the sensitive data that are available for use by appropriately trained and accredited members of the research community. SRS is an accredited data processor under the Digital Economy Act 2017 (the Act). What this means is that the SRS does not own the data that is made available through the service and data owners are separately identified in the Act. Whenever the SRS acquires data that is to be made available to the research community, an agreement is signed with the data owners that specifies the conditions under which data can be accessed and any restrictions that may be placed on individual datasets. As part of this process, data owners typically wish to know information about how Five Safes will apply to their dataset.\n\nActive Users: 2000 | Active Projects: 900\n\nPricing: Centrally funded - no charge at the point of access.\n\n---\n\n### SAFE People - Login & Access  \n\n• Accredited Researcher Status Required - Training, Public record, Sign Declaration, Research project Accreditation\n\n✓ Login: Citrix workspaces – encrypted tunnels and unique account logon\n\n✗ Minimum Requirement: [Assured Organizational Connectivity](https://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherscheme#assured-organisational-connectivity-to-the-secure-research-service) or willingness to travel to ONS offices.\n\n✗ International Access: Not in general. Exceptions may be possible.\n\n---\n\n### SAFE Settings - Compute & Services\n\n✓ Private Cloud\n\n✓ 6 Citrix servers in farm provide computing power. 96GB mem 32 cores per server. Additional SQL servers are also available for the manipulation of relational data.\n\n✗ No ability to modify OS\n\n✗ Managed Data analytics capabilities: None provided\n\n✗ No federated queries\n\n✗ No federated analytics\n\n---\n\n### SAFE Settings - Security Certifications and Measures\n\n✓ Security Certifications: ISO27001 and DEA Accredited\n\n✓ Security Measures: Dedicated Security Team. ObserveIT monitors all screen and keyboard activity. Splunk used to monitor events captured to GPG 13 DTER standard\n\n✓ No VM direct access  \n\n✓ No VM access control (no USB, copy/paste, internet access whitelisted or internal mirrors)  \n\n---\n\n### SAFE Settings - Software access  \n\n✓ Default software: Office, SAS, SPSS, STATA, R, Python\n\n✓ Code/library import: Governance process where 2 people check code\n\n✗ Collaboration Software: No\n\n---\n\n### SAFE Data - Data Access Mechanisms\n\n✓ Data Provisioning: Minimized read-only links within project spaces to research-ready datasets\n\n✓ Reduce re-identification risk by: SRS output checking procedures available on request. No internet access\n\n✓ Receive Data: Via Transfer Services - MoveIT and ONS AWS S3 Storage\n\n- ✓ Linked Data: Manual Linkage via transfer services\n\n- ✓ Sensitive Data: Ingest procedures exist which are checked by ONS staff\n\n- ✓ Open Data: Via Transfer Services - MoveIT and ONS AWS S3 Storage\n\n✓ Record Linkage: Not as service, but this can be carried out by ONS staff prior to ingestion\n\n---\n\n### SAFE Outputs - Data Output/export  \n\n✓ Aggregate level graphs and tables. Aggregate level graphs and tables, individual level, anonymized data, Weights and code for a trained AI algorithm, Source code developed with the environment\n\n✓ Export plans: None Specified\n\n✓ Data transmit to other SAFE Settings: Via Transfer Services\n\n✓ Statistical disclosure control process in place',
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  		name: 'Better Care',
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  			'**Aim**\n\nHealth Data Research UK’s [Better Care programme](https://www.hdruk.ac.uk/how-we-use-health-data/better-care/) aims to improve people’s lives by equipping clinicians and patients in the UK with the best possible data-based information to make decisions about their care.\n\nOur vision is that by 2030, patients across the UK will benefit from healthcare decisions informed by large scale data and advanced analytics to identify what will work best for them.\n\n**Our approach**\n\nWe support the development of learning healthcare systems that integrate clinical practice, large scale data and advanced analytics in a cycle of continuous improvement by:\n\n- Systematically gathering real-world data about patients’ treatment, experience and outcomes within the setting of routine care\n- Collating and providing access to large scale data in a format that is analysis-ready\n- Using advanced analytics to derive generalisable evidence and provide critical insights into healthcare delivery\n- Developing data-driven tools that make these insights actionable by clinicians and patients when they are making decisions about their care\n- Implementing tools to support personalised decision making by clinicians and patients at the point of care\n- Gathering data to manage the quality, safety and efficiency of care delivery, underpin research, and generate new insights that can continuously improve decision-making by clinicians and patients\n- Our focus is on answering the research questions necessary to achieve these goals and seeking solutions that can be implemented at scale across the health and care system.\n\nThis collection will feature projects and outputs from the Better Care Programme.',
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  		name: 'Medicines during Pregnancy',
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  			'This Collection brings together sources within the Innovation Gateway containing data on medication exposure during pregnancy and/or relevant outcomes. \n\nIncluded is a report from the Human Medicines Expert Working Group on Optimising Data on Medicines used During Pregnancy. The report sites many of the data assets included within this Collection. \n\nThe Expert Working Group was set up to to identify ways to improve data collection and access to information relevant to research on medicines used during pregnancy and breastfeeding. The Group advises on the following:\n\n- Better capturing and linking of existing data on adverse outcomes of pregnancy\n- Other ways to capture relevant information on exposure to all medicines during pregnancy\n- Improving access to all relevant data on medicines taken during pregnancy to enable studies to be conducted to support pharmacovigilance\n- Improving the analytic design of studies examining drug safety in pregnancy\n- To make recommendations\n- This report outlines their findings and recommendations.',
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  				firstname: 'Caroline',
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  				firstname: 'Neena',
  				lastname: 'Modi',
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  		name: 'ORCHID',
  		description:
  			'ORCHID is the secure data processing environment for the Oxford-Royal College of GPs Clinical Informatics Digital Hub. [orchid.phc.ox.ac.uk](https://orchid.phc.ox.ac.uk). ORCHID operates within the Five Safes Framework. The environment currently does not have break-down costs in terms of specific technical requirements, rather these are encompassed into any costs presented to applicants at the application stage.\n\nActive Users: 100 | Active Projects: 50\n\n---\n\n### SAFE People - Login & Access  \n\n✓ Accredited Researcher Status Required – Information governance training, data sharing agreements, research project approval\n\n✓ Login: User Registration, VDI over a VPN, Authentication: 2FA\n\n✓ Minimum Requirement: No minimum requirement  \n\n✓ International Access: International access allowed\n\n---\n\n### SAFE Settings - Compute & Services\n\n✓ Private Cloud\n\n✓ Virtual desktops (Windows Server 2019 build 1809, or Ubuntu server 20.04 LTS) with 4 vCPU, 16GB RAM and HDD on a project basis\n\n✓ Further compute environments including an R Studio service (8vCPU’s 32GB RAM) and a STATA MP16 environment (8vCPU’s, 32GB RAM). Additional requirements can be supported as required although these need to be discussed at the application stage of the project.\n\n✓ Users are not able to modify the base VM, however they can request additional software or modules via an approval process.\n\n✗ Managed Data analytics capabilities: No\n\n✗ No federated queries\n\n✗ No federated analytics \n\n---\n\n### SAFE Settings - Security Certifications and Measures\n\n✓ Security Certifications: NHS DSPT Toolkit \n\n✓ Security Measures: Manual User Provisioning, University of Oxford or ORCHID VPN, Password rotation, managed data provisioning, No external network access, Secure data ingress/egress\n\n✓ No VM direct access, Access only through VDI only.\n\n✓ No VM access control (no USB, copy/paste disabled, no internet access\n\n---\n\n### SAFE Settings - Software access  \n\n✓ Default software: Word, Excel, SQL Server Enterprise Manager, Notepad++, 7Zip, Rstudio, STAT MP8 v16, Tableau, MS SQL Server 2016, Matlab, SAS, MS Visual Studio 2019, C/C++/C#, Python\n\n✓ Code/library import: Files can be submitted to the web transfer service. \n\n✓ Collaboration Software: Shared File Store, MS Teams\n\n---\n\n### SAFE Data - Data Access Mechanisms\n\n✓ Data Provisioning: Researchers are able to import data into data analysis software hosted in a secure environment. Read-only access is granted for specific data tables in the database.\n\n✓ Reduce re-identification risk by: Individual training, read-only access control policy, code retention, statistical disclosure control policies\n\n✓ Receive Data: Data can be imported into a secure environment through the web transfer service. All files submitted are validated by ORCHID administrators.\n\n✓ Linked Data: Identifiable data fields are hashed using a salt outside of the secure environment and then imported through a secure file share by the ORCHID administrator. \n\n- ✓ Sensitive Data: Sensitive data can be imported into the secure environment by the ORCHID administrator and added to a file share within the secure environment or added as tables to the secure database.\n\n- ✓ Open Data: Open data can be transferred into the secure environment using the web transfer tool. \n\n✗ Record Linkage: No record linkage services\n\n---\n\n### SAFE Outputs - Data Output/export  \n\n✓ Aggregate level graphs and tables, individual level, anonymised data\n\n✓ Other Export plans: No  \n\n✓ Data transmit to other SAFE Settings possible via secure web transfer service which can only be accessed through a VPN \n\n✓ Statistical Disclosure Control: A member of the ORCHID DBA team manually reviews outputs prior to approving through the web transfer tool.',
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  				firstname: 'Richard',
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  				firstname: 'Simon',
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  			'NHS DigiTrials works in partnership to support clinical trialists in their applications for and access to patient data to support research into COVID-19 and beyond. NHS DigiTrials is proud to be supporting the Oxford Recovery Trial and the COVID-19 vaccine trials. \n \nNHS Digital works on the NHS DigiTrials service in collaboration with the University of Oxford Big Data Institute, IBM and Microsoft, and commissioned by Health Data Research UK (HDRUK) through the UK Research and Innovation Industrial Strategy Challenge Fund.\n \nIt is supported by the Association of Medical Research Charities (AMRC), the National Institute of Health Research Clinical Research Network (NIHR), and the Health Research Agency (HRA), who are members of the governance board.\n\nNHS DigiTrials also works closely with patients and public who are members of its co-development panel and they are a key part of the service design. The panel ensures that the service is trustworthy, accessible and keeps them well informed as to how patient data is being used for trials. \n\nNHS DigiTrials’s vision is to create and provide a service that provides clear benefits at the right time and in the right way for its customers. Recognising that clinical trials will be focused on COVID-19 for the foreseeable future, it is currently looking at the need for outcome data to support this vital work – namely data about clinical interventions and their results across a range of care settings. \n\nCurrent outcomes supported by NHS DigiTrials have so far included the first set of results on the [success of Dexamethasone in reducing deaths of people on ventilators (part of the Oxford RECOVERY trial)](https://digital.nhs.uk/news-and-events/news/nhs-digital-enables-researchers-to-find-effective-treatment-for-covid-19), [trials with NHS Blood and Transplant into the effectiveness of treating coronavirus patients with plasma from people who have recovered from COVID-19 and vaccine trials](https://digital.nhs.uk/blog/transformation-blog/2020/how-were-supporting-covid-19-convalescent-plasma-trials). \n\nYou can find more information about NHS DigiTrials via the [NHS Digital webpages](https://digital.nhs.uk/services/nhs-digitrials). Content is soon to be updated and refreshed as the ‘go to’ website for news and views on the DigiTrials programme of activity for both DigiTrials customer and public and patients. ',
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