The Experts below are selected from a list of 99 Experts worldwide ranked by ideXlab platform
Donal Fellows - One of the best experts on this subject based on the ideXlab platform.
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identifiers for the 21st century how to Design Provision and reuse persistent identifiers to maximize utility and impact of life science data
PLOS Biology, 2017Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal FellowsAbstract:In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the Design, Provision and reuse of identifiers. We also outline the important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.
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identifiers for the 21st century how to Design Provision and reuse persistent identifiers to maximize utility and impact of life science data
bioRxiv, 2017Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal FellowsAbstract:In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the Design, Provision and reuse of identifiers; we also outline important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.
Ronald Leenes - One of the best experts on this subject based on the ideXlab platform.
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privacy regulation cannot be hardcoded a critical comment on the privacy by Design Provision in data protection law
International Review of Law Computers & Technology, 2014Co-Authors: Bert-jaap Koops, Ronald LeenesAbstract:‘Privacy by Design’ is an increasingly popular paradigm. It is the principle or concept that privacy should be promoted as a default setting of every new ICT system and should be built into systems from the Design stage. The draft General Data Protection Regulation embraces ‘privacy by Design’ without detailing how it can or should be applied. This paper discusses what the proposed legal obligation for ‘privacy by Design’ implies in practice for online businesses. In particular, does it entail hard-coding privacy requirements in system Design? First, the ‘privacy by Design’ Provision in the proposed Regulation is analysed and interpreted. Next, we discuss an extreme interpretation – embedding data protection requirements in system software – and identify five complicating issues. On the basis of these complications, we conclude that ‘privacy by Design’ should not be interpreted as trying to achieve rule compliance by techno-regulation. Instead, fostering the right mindset of those responsible for developi...
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Privacy regulation cannot be hardcoded. A critical comment on the 'privacy by Design' Provision in data-protection law
International Review of Law Computers and Technology, 2014Co-Authors: Bert-jaap Koops, Ronald LeenesAbstract:‘Privacy by Design’ is an increasingly popular paradigm. It is the principle or concept that privacy should be promoted as a default setting of every new ICT system and should be built into systems from the Design stage. The draft General Data Protection Regulation embraces ‘privacy by Design’ without detailing how it can or should be applied. This paper discusses what the proposed legal obligation for ‘privacy by Design’ implies in practice for online businesses. In particular, does it entail hardcoding privacy requirements in system Design? First, the ‘privacy by Design’ Provision in the proposed Regulation is analysed and interpreted. Next, we discuss an extreme interpretation – embedding data protection requirements in system software – identifying five complicating issues. On the basis of these complications, we conclude that ‘privacy by Design’ should not be interpreted as trying to achieve rule compliance by techno-regulation. Instead, fostering the right mindset of those responsible for developing and running data processing systems may prove to be more productive. Therefore, in terms of the regulatory tool-box, privacy by Design should be approached less from a ‘code’ perspective, but rather from the perspective of ‘communication’ strategies.
Julie A Mcmurry - One of the best experts on this subject based on the ideXlab platform.
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identifiers for the 21st century how to Design Provision and reuse persistent identifiers to maximize utility and impact of life science data
PLOS Biology, 2017Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal FellowsAbstract:In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the Design, Provision and reuse of identifiers. We also outline the important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.
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identifiers for the 21st century how to Design Provision and reuse persistent identifiers to maximize utility and impact of life science data
bioRxiv, 2017Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal FellowsAbstract:In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the Design, Provision and reuse of identifiers; we also outline important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.
Bert-jaap Koops - One of the best experts on this subject based on the ideXlab platform.
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privacy regulation cannot be hardcoded a critical comment on the privacy by Design Provision in data protection law
International Review of Law Computers & Technology, 2014Co-Authors: Bert-jaap Koops, Ronald LeenesAbstract:‘Privacy by Design’ is an increasingly popular paradigm. It is the principle or concept that privacy should be promoted as a default setting of every new ICT system and should be built into systems from the Design stage. The draft General Data Protection Regulation embraces ‘privacy by Design’ without detailing how it can or should be applied. This paper discusses what the proposed legal obligation for ‘privacy by Design’ implies in practice for online businesses. In particular, does it entail hard-coding privacy requirements in system Design? First, the ‘privacy by Design’ Provision in the proposed Regulation is analysed and interpreted. Next, we discuss an extreme interpretation – embedding data protection requirements in system software – and identify five complicating issues. On the basis of these complications, we conclude that ‘privacy by Design’ should not be interpreted as trying to achieve rule compliance by techno-regulation. Instead, fostering the right mindset of those responsible for developi...
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Privacy regulation cannot be hardcoded. A critical comment on the 'privacy by Design' Provision in data-protection law
International Review of Law Computers and Technology, 2014Co-Authors: Bert-jaap Koops, Ronald LeenesAbstract:‘Privacy by Design’ is an increasingly popular paradigm. It is the principle or concept that privacy should be promoted as a default setting of every new ICT system and should be built into systems from the Design stage. The draft General Data Protection Regulation embraces ‘privacy by Design’ without detailing how it can or should be applied. This paper discusses what the proposed legal obligation for ‘privacy by Design’ implies in practice for online businesses. In particular, does it entail hardcoding privacy requirements in system Design? First, the ‘privacy by Design’ Provision in the proposed Regulation is analysed and interpreted. Next, we discuss an extreme interpretation – embedding data protection requirements in system software – identifying five complicating issues. On the basis of these complications, we conclude that ‘privacy by Design’ should not be interpreted as trying to achieve rule compliance by techno-regulation. Instead, fostering the right mindset of those responsible for developing and running data processing systems may prove to be more productive. Therefore, in terms of the regulatory tool-box, privacy by Design should be approached less from a ‘code’ perspective, but rather from the perspective of ‘communication’ strategies.
Martin White - One of the best experts on this subject based on the ideXlab platform.
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nhs diabetes prevention programme in england formative evaluation of the programme in early phase implementation
BMJ Open, 2018Co-Authors: Linda Penn, Angela M Rodrigues, Anna Haste, Marta M Marques, Kirsten Budig, Kirby Sainsbury, Ruth Bell, Vera Araujosoares, Martin WhiteAbstract:Objectives Evaluation of the demonstrator phase and first wave roll-out of the National Health Service (NHS) Diabetes Prevention Programme (DPP) in England. To examine: (1) intervention Design, Provision and fidelity assessment procedures; (2) risk assessment and recruitment pathways and (3) data collection for monitoring and evaluation. To provide recommendations informing decision makers on programme quality, improvements and future evaluation. Design We reviewed programme documents, mapping against the NHS DPP specification and National Institute for Health and Care Excellence (NICE) public health guideline: Type 2 diabetes (T2D) prevention in people at high risk (PH38), conducted qualitative research using individual interviews and focus group discussions with stakeholders and examined recruitment, fidelity and data collection procedures. Setting Seven NHS DPP demonstrator sites and, subsequently, 27 first wave areas across England. Interventions Intensive behavioural intervention with weight loss, diet and physical activity goals. The national programme specifies at least 13 sessions over 9 months, delivered face to face to groups of 15–20 adults with non-diabetic hyperglycaemia, mainly recruited from primary care and NHS Health Checks. Participants Participants for qualitative research were purposively sampled to provide a spread of stakeholder experience. Documents for review were provided via the NHS DPP Management Group. Findings The NHS DPP specification reflected current evidence with a clear framework for service Provision. Providers, with national capacity to deliver, supplied intervention plans compliant with this framework. Stakeholders highlighted limitations in fidelity assessment and recruitment and retention challenges, especially in reach and equity, that could adversely impact on implementation. Risk assessment for first wave eligibility differed from NICE guidance. Conclusions The NHS DPP provides an evidence-based behavioural intervention for prevention of T2D in adults at high risk, with capacity to deliver nationally. Framework specification allows for balance between consistency and contextual variation in intervention delivery, with session details devolved to providers. Limitations in fidelity assurance, data collection procedures and recruitment issues could adversely impact on intervention effectiveness and restrict evaluation.