METADAC
Lead Research Organisation:
Newcastle University
Department Name: Sch of Geog, Politics and Sociology
Abstract
Some of the most important advances in our understanding of health and society are based on research studies that have been collecting information (or data) from ordinary people over many years. These studies are called longitudinal studies. The UK has a unique history of supporting longitudinal studies, with some starting as long ago as the 1930s. Longitudinal studies collect data about how people live, their health, well-being, education, as well as their social and physical environments. Some also collect biological samples (e.g. blood or urine) which can be processed to obtain data about inherited characteristics (genetics). For example, these studies have shown us that smoking in pregnancy leads to poorer health in babies and that inherited characteristics can affect health conditions such as diabetes and high blood pressure.
Researchers from the UK and around the world can use these data and samples from longitudinal studies to answer important questions about human health and wellbeing. Some of these data collections contain information that is sensitive, especially when different types of data or samples are combined. For this reason access to the data and samples for research is restricted. Only qualified researchers working for recognised research institutions can use these data or samples. Independent committees exist to safeguard the people who contributed the data. The METADAC project runs such an independent committee to approve applications from researchers to access data and samples from UK longitudinal studies. METADAC designs the rules for making sure that access to data and samples for research is safe and secure based on the best practice and policies from around the world. METADAC also ensures that the process of applying for access is fair and transparent. METADAC includes experts in science, ethics, law and clinical practice who have an understanding of the complexities of sharing data and samples for research. METADAC also includes people who provide data and samples for longitudinal studies (the study participants) in developing rules about access and in granting permission for researchers to access data and samples.
METADAC has already successfully completed three years of development - 2015 to 2018. In its second phase (2018 to 2020) METADAC will continue to provide safe and fair access for research which combines different types of data and uses samples. METADAC will strengthen and promote its systems so that more researchers can use data and samples from longitudinal studies to advance knowledge about health and society. As part of its commitment to safe use of data and samples, METADAC will also work closely with other organisations who are charged with keeping the data and samples from UK longitudinal studies safe and secure.
Researchers from the UK and around the world can use these data and samples from longitudinal studies to answer important questions about human health and wellbeing. Some of these data collections contain information that is sensitive, especially when different types of data or samples are combined. For this reason access to the data and samples for research is restricted. Only qualified researchers working for recognised research institutions can use these data or samples. Independent committees exist to safeguard the people who contributed the data. The METADAC project runs such an independent committee to approve applications from researchers to access data and samples from UK longitudinal studies. METADAC designs the rules for making sure that access to data and samples for research is safe and secure based on the best practice and policies from around the world. METADAC also ensures that the process of applying for access is fair and transparent. METADAC includes experts in science, ethics, law and clinical practice who have an understanding of the complexities of sharing data and samples for research. METADAC also includes people who provide data and samples for longitudinal studies (the study participants) in developing rules about access and in granting permission for researchers to access data and samples.
METADAC has already successfully completed three years of development - 2015 to 2018. In its second phase (2018 to 2020) METADAC will continue to provide safe and fair access for research which combines different types of data and uses samples. METADAC will strengthen and promote its systems so that more researchers can use data and samples from longitudinal studies to advance knowledge about health and society. As part of its commitment to safe use of data and samples, METADAC will also work closely with other organisations who are charged with keeping the data and samples from UK longitudinal studies safe and secure.
Planned Impact
Impact Summary
At present, there is strong strategic investment in ensuring not only the optimisation of research data use, but also of routine data generated by health and social care services and other administrative data services. The international research community is proactively working towards creating a world in which all such sources of data can, where beneficial, be integrated, linked and jointly interpreted; this potential has been demonstrated in the UK in projects such as The Farr Institute, the Administrative Data research Network, Connected Health Cities, the pan-London Health Information Exchange, and Medical Research Council's Health Data Research UK initiative. The aims of such initiatives and the enhanced data utility they provide are three-fold: (1) to better use data to directly inform front-line clinical care and public health; (2) to enhance the evidence base for health and social care planning and strategic development and formally evaluate key initiatives in these domains; and (3) to enhance the quality and scope of research in health science, bioscience and the social sciences.
In this context there are many beneficiaries of the data and samples made available through the METADAC:
Who will benefit from this funding and how?
Bio- and social science academics who access data and samples through application to METADAC are immediate beneficiaries of this funding. An audit (February 2018) of the disciplines making use of the resource include: Biosocial studies, Biostatistics, Chemistry, Clinical epidemiology, Clinical Science, Communication Studies, Computing, Econometrics, Economics, Education, Employment and work studies, Environmental Studies, Epidemiology, Epigenetics, Genetics, Health Sciences, Immunology, Informatics, Law, Linguistics, Management/Business, medical genetics, Molecular Biology, molecular genetics, Neuroscience, Nutrition, Omics research, Oncology, Paediatrics, Pharmacy, Political science, Psychiatry, Psychology, Public health, Social Science, Social work, Sociology.
Academics working in the field of Ethical, Legal and Social Implications (ELSI) research benefit from interaction with, contribution to and learning from governance developments undertaken in METADAC, either directly as members of the committee or as part of the international community of scholars of which Prof Murtagh is a part. As Co-lead of the Regulatory and Ethics Working Group of the Global Alliance for Genomics and Health, member of the ELSI 2.0 Steering Committee, member of the International Association of Bioethics, International Sociological Association Prof Murtagh promotes use and understanding of the METADAC. Likewise Prof Burton, Blell and members of the METADAC committee promote METADAC through their networks.
Longitudinal studies, whose data and sample applications are managed by METADAC, benefit directly by having access to an independent governance infrastructure which administer, develops and undertakes data and sample access management and policy. There is a major benefit in ensuring that those leading longitudinal studies can concentrate primarily on the science and technology that relates to that rather than the work associated with governing access to the data and samples produced by those studies leaving this instead to an independent interdisciplinary group of specialists who can pull together all of the requisite knowledge and understanding to address governance in this rapidly evolving field and respond to new challenges as they arise.
That longitudinal studies benefit through the mutual learning from other studies has been demonstrated in the pilot. With outreach to other longitudinal studies and the user community this shared and collaborative learning will grow.
Citizens benefit from the outcomes and impact of the research conducted on the basis of applications for data and samples to METADAC.
At present, there is strong strategic investment in ensuring not only the optimisation of research data use, but also of routine data generated by health and social care services and other administrative data services. The international research community is proactively working towards creating a world in which all such sources of data can, where beneficial, be integrated, linked and jointly interpreted; this potential has been demonstrated in the UK in projects such as The Farr Institute, the Administrative Data research Network, Connected Health Cities, the pan-London Health Information Exchange, and Medical Research Council's Health Data Research UK initiative. The aims of such initiatives and the enhanced data utility they provide are three-fold: (1) to better use data to directly inform front-line clinical care and public health; (2) to enhance the evidence base for health and social care planning and strategic development and formally evaluate key initiatives in these domains; and (3) to enhance the quality and scope of research in health science, bioscience and the social sciences.
In this context there are many beneficiaries of the data and samples made available through the METADAC:
Who will benefit from this funding and how?
Bio- and social science academics who access data and samples through application to METADAC are immediate beneficiaries of this funding. An audit (February 2018) of the disciplines making use of the resource include: Biosocial studies, Biostatistics, Chemistry, Clinical epidemiology, Clinical Science, Communication Studies, Computing, Econometrics, Economics, Education, Employment and work studies, Environmental Studies, Epidemiology, Epigenetics, Genetics, Health Sciences, Immunology, Informatics, Law, Linguistics, Management/Business, medical genetics, Molecular Biology, molecular genetics, Neuroscience, Nutrition, Omics research, Oncology, Paediatrics, Pharmacy, Political science, Psychiatry, Psychology, Public health, Social Science, Social work, Sociology.
Academics working in the field of Ethical, Legal and Social Implications (ELSI) research benefit from interaction with, contribution to and learning from governance developments undertaken in METADAC, either directly as members of the committee or as part of the international community of scholars of which Prof Murtagh is a part. As Co-lead of the Regulatory and Ethics Working Group of the Global Alliance for Genomics and Health, member of the ELSI 2.0 Steering Committee, member of the International Association of Bioethics, International Sociological Association Prof Murtagh promotes use and understanding of the METADAC. Likewise Prof Burton, Blell and members of the METADAC committee promote METADAC through their networks.
Longitudinal studies, whose data and sample applications are managed by METADAC, benefit directly by having access to an independent governance infrastructure which administer, develops and undertakes data and sample access management and policy. There is a major benefit in ensuring that those leading longitudinal studies can concentrate primarily on the science and technology that relates to that rather than the work associated with governing access to the data and samples produced by those studies leaving this instead to an independent interdisciplinary group of specialists who can pull together all of the requisite knowledge and understanding to address governance in this rapidly evolving field and respond to new challenges as they arise.
That longitudinal studies benefit through the mutual learning from other studies has been demonstrated in the pilot. With outreach to other longitudinal studies and the user community this shared and collaborative learning will grow.
Citizens benefit from the outcomes and impact of the research conducted on the basis of applications for data and samples to METADAC.
Organisations
- Newcastle University (Lead Research Organisation)
- Medical Research Council (Co-funder)
- Wellcome Trust (Co-funder)
- University College London (Collaboration)
- English Longitudinal Study of Ageing (ELSA) (Collaboration)
- Economic and Social Research Council (Collaboration)
- National Survey of Sexual Attitudes and Lifestyles (Natsal) (Collaboration)
- IMAGINE ID (Collaboration)
- University of Bristol (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- Biobanking and Biomolecular Resources Research Infrastructure (Collaboration)
Publications
Zhou A
(2018)
Habitual coffee consumption and cognitive function: a Mendelian randomization meta-analysis in up to 415,530 participants.
in Scientific reports
Westra HJ
(2018)
Fine-mapping and functional studies highlight potential causal variants for rheumatoid arthritis and type 1 diabetes.
in Nature genetics
Wells HRR
(2019)
GWAS Identifies 44 Independent Associated Genomic Loci for Self-Reported Adult Hearing Difficulty in UK Biobank.
in American journal of human genetics
Wang P
(2019)
Replicability analysis in genome-wide association studies via Cartesian hidden Markov models.
in BMC bioinformatics
Vears DF
(2021)
Return of individual research results from genomic research: A systematic review of stakeholder perspectives.
in PloS one
Vears DF
(2021)
Views on genomic research result delivery methods and informed consent: a review.
in Personalized medicine
Turley P
(2018)
Multi-trait analysis of genome-wide association summary statistics using MTAG.
in Nature genetics
Turcot V
(2018)
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
in Nature genetics
Thorogood A
(2018)
APPLaUD: access for patients and participants to individual level uninterpreted genomic data.
in Human genomics
Tanskanen T
(2018)
Genome-wide association study and meta-analysis in Northern European populations replicate multiple colorectal cancer risk loci.
in International journal of cancer
Tachmazidou I
(2019)
Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data.
in Nature genetics
Styrkarsdottir U
(2019)
GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures.
in Nature communications
Skaaby T
(2019)
Association of alcohol consumption with allergic disease and asthma: a multi-centre Mendelian randomization analysis.
in Addiction (Abingdon, England)
Shwan NAA
(2019)
No Evidence for Association of BMI with Salivary Amylase Gene Copy Number in the UK 1958 Birth Cohort.
in Obesity (Silver Spring, Md.)
Shrine N
(2019)
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries.
in Nature genetics
Shah T
(2019)
Information-sharing in health and social care: Lessons from a socio-technical initiative
in Public Money & Management
Shabani M
(2021)
The Cambridge Handbook of Health Research Regulation
Ruiz M
(2019)
Congruent relations between perceived neighbourhood social cohesion and depressive symptoms among older European adults: An East-West analysis.
in Social science & medicine (1982)
Riveros-McKay F
(2019)
Genetic architecture of human thinness compared to severe obesity.
in PLoS genetics
Riglin L
(2018)
The impact of schizophrenia and mood disorder risk alleles on emotional problems: investigating change from childhood to middle age.
in Psychological medicine
Rahman MS
(2021)
Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain.
in Annals of the rheumatic diseases
Phelps IG
(2018)
Interpreting the clinical significance of combined variants in multiple recessive disease genes: systematic investigation of Joubert syndrome yields little support for oligogenicity.
in Genetics in medicine : official journal of the American College of Medical Genetics
Pastorino S
(2019)
Associations between maternal physical activity in early and late pregnancy and offspring birth size: remote federated individual level meta-analysis from eight cohort studies.
in BJOG : an international journal of obstetrics and gynaecology
Ochieng CA
(2021)
What does engagement mean to participants in longitudinal cohort studies? A qualitative study.
in BMC medical ethics
Niemi MEK
(2018)
Common genetic variants contribute to risk of rare severe neurodevelopmental disorders.
in Nature
MĂ¡rquez A
(2018)
Meta-analysis of Immunochip data of four autoimmune diseases reveals novel single-disease and cross-phenotype associations.
in Genome medicine
Murtagh MJ
(2018)
Better governance, better access: practising responsible data sharing in the METADAC governance infrastructure.
in Human genomics
Mulrine S
(2021)
Beyond trust: Amplifying unheard voices on concerns about harm resulting from health data-sharing.
in Medicine access @ point of care
Mistry S
(2018)
The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: Systematic review.
in Schizophrenia research
Marcon Y
(2021)
Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD.
in PLoS computational biology
Mansell G
(2019)
Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array
in BMC Genomics
Maddock J
(2020)
DNA Methylation Age and Physical and Cognitive Aging.
in The journals of gerontology. Series A, Biological sciences and medical sciences
Machlitt-Northen S
(2022)
Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene-environment correlation.
in Journal of child psychology and psychiatry, and allied disciplines
Machlitt-Northen S
(2022)
Polygenic risk scores for schizophrenia and major depression are associated with socio-economic indicators of adversity in two British community samples
in Translational Psychiatry
Lewis KJS
(2020)
Comparison of Genetic Liability for Sleep Traits Among Individuals With Bipolar Disorder I or II and Control Participants.
in JAMA psychiatry
Lee JJ
(2018)
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.
in Nature genetics
Lane LC
(2019)
Analysis of BAFF gene polymorphisms in UK Graves' disease patients.
in Clinical endocrinology
Kuchenbaecker K
(2019)
The transferability of lipid loci across African, Asian and European cohorts.
in Nature communications
Kaye J
(2018)
Including all voices in international data-sharing governance.
in Human genomics
Karlsson Linnér R
(2019)
Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences.
in Nature genetics
John A
(2022)
Salivary cortisol in longitudinal associations between affective symptoms and midlife cognitive function: A British birth cohort study.
in Journal of psychiatric research
Description | Better governance, better access: practising responsible data sharing in the METADAC governance infrastructure Abstract Background: Genomic and biosocial research data about individuals is rapidly proliferating, bringing the potential for novel opportunities for data integration and use. The scale, pace and novelty of these applications raise a number of urgent sociotechnical, ethical and legal questions, including optimal methods of data storage, management and access. Although the open science movement advocates unfettered access to research data, many of the UK's longitudinal cohort studies operate systems of managed data access, in which access is governed by legal and ethical agreements between stewards of research datasets and researchers wishing to make use of them. Amongst other things, these agreements aim to respect the reasonable expectations of the research participants who provided data and samples, as expressed in the consent process. Arguably, responsible data management and governance of data and sample use are foundational to the consent process in longitudinal studies and are an important source of trustworthiness in the eyes of those who contribute data to genomic and biosocial research. Methods: This paper presents an ethnographic case study exploring the foundational principles of a governance infrastructure for Managing Ethico-social, Technical and Administrative issues in Data ACcess (METADAC), which are operationalised through a committee known as the METADAC Access Committee. METADAC governs access to phenotype, genotype and 'omic' data and samples from five UK longitudinal studies. Findings: Using the example of METADAC, we argue that three key structural features are foundational for practising responsible data sharing: independence and transparency; interdisciplinarity; and participant-centric decision-making. We observe that the international research community is proactively working towards optimising the use of research data, integrating/linking these data with routine data generated by health and social care services and other administrative data services to improve the analysis, interpretation and utility of these data. The governance of these new complex data assemblages will require a range of expertise from across a number of domains and disciplines, including that of study participants. Human-mediated decision-making bodies will be central to ensuring achievable, reasoned and responsible decisions about the use of these data; the METADAC model described in this paper provides an example of how this could be realised. Keywords: Data ethics, Data governance, Data access, Data Access Committee (DAC), Governance, Participant involvement, Ethnography, Qualitative research, Interdisciplinarity |
Exploitation Route | The methods and approaches of METADAC may be used by other data access governance infrastructures. |
Sectors | Digital/Communication/Information Technologies (including Software) Healthcare Government Democracy and Justice |
URL | http://www.metadac.ac.uk |
Description | PLS guidance take-up |
Geographic Reach | Europe |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | The METADAC guidance for writing in plain language is published at http://www.metadac.ac.uk/files/2017/06/v1.0-Plain-language-guidance-for-METADAC-applications.pdf The Keynote speaker at the Festival of Genomics 2020, Vivienne Parry OBE, referred to the METADAC plain-language-summary guidance in her keynote session, as an excellent source of good practice for researchers. Her role as head of Engagement at Genomics England and the national reach of the genomics festival audience demonstrate take-up of the guidance by the wider research community in the UK and beyond. https://www.genomicsengland.co.uk/ |
URL | https://www.festivalofgenomics.com/ |
Description | ALSPAC (Various grants including 2010 Strategic Renewal funded by MRC and WT) |
Organisation | University of Bristol |
Department | Avon Longitudinal Study of Parents and Children (ALSPAC) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | ALSPAC and 1958BC have worked together (and in collaboration with BioSHaRE-eu) in the joint development of DataSHIELD, and in continuing to explore the extension of ESPRESSO (the power calculator developed for designing UK Biobank) to enable construction of simulated study data that applicants can work with before making a definitive application for real data. This will help applicants to refine their applications to enhance efficiency, and will avoid misunderstandings where a research group is literally unable to do what they thought they could do when they applied. |
Collaborator Contribution | Paul Burton has just moved to University of Bristol where he has taken on a central role in the ALSPAC project. Precisely how extensive this role will be, and the extent to which the funders (MRC and WT) would like us to move towards a seamless joint management structure for 1958BC and ALSPAC is currently a focus of active discussion between the two projects and the funders. Joint work on enhancing data access infrastructures for both 1958BC and ALSPAC (Burton, Davey-Smith, Ring). |
Impact | ESPRESSO work is ongoing. In addition, both 58READIE and ALSPAC are working together to develop an online application system which can be used by both cohorts in order to streamline the application and awards process. New ESPRESSO paper (in collaboration with UK Biobank) recently submitted, Opal/DataSHaPER/DataSHIELD paper describing true federated analysis is on the point of being accepted. |
Start Year | 2010 |
Description | BBMRI-ERIC |
Organisation | Biobanking and Biomolecular Resources Research Infrastructure |
Country | Austria |
Sector | Charity/Non Profit |
PI Contribution | Research under METADAC is contributing to greater understanding of the human, relational and political barriers to data access across Europe. |
Collaborator Contribution | BBMRI has provided access to participants in research aiming to better understand barriers to data access across Europe and in the UK. |
Impact | Invited presentations Title: Challenges in Europe with regards data sharing Where and when: BBMRI-LPC Final Consortium Meeting, Levi, Kittila, Finland, 8-9 September 2016 Audience: 50 partners/members of the BBMRI-LPC study (EU-FP7 infrastructure) Impact: sharing the METADAC model more widely, influencing European biobank practice in data sharing Conference presentations/dissemination Presenters: Murtagh, MJ & Roberts, SJ. Title: The METADAC model for data and sample access, Where and When: EU BIOBANK WEEK, VIENNA, 16 August, 2016 Audience: 150 delegates Impact: sharing the METADAC model more widely, great interest in how we address the challenges of data sharing, eg. Incidental findings Title: The METADAC model for data and sample access, Where and When: EU BIOBANK WEEK, VIENNA, 16 August, 2016 Audience: 150 delegates Impact: sharing the METADAC model more widely, great interest in how we address the challenges of data sharing, eg. Incidental findings Title: Epistemic and non-epistemic values driving data sharing in practice for data and sample access, Where and When: EASST meeting, 1 September, 2016 Audience: 100 delegates Impact: Discussion of the drivers of data sharing and sharing the METADAC model more widely |
Start Year | 2012 |
Description | CLOSER |
Organisation | Economic and Social Research Council |
Country | United Kingdom |
Sector | Public |
PI Contribution | 58READIE is working with CLOSER on a number of issues that are of central strategic importance to the development of effective national mechanisms for data access and exploitation. Two current issues being addressed together are the development of a strategy for utilisation of biosamples (unlike data, these represent a finite resource), and development of a framework for feedback of clinically relevant findings. In addition we interface with CLOSER in relation to data harmonization - a formal DataSHaPER for 1958BC on 96 variables has been created for the Healthy Obese Project under BioSHaRE-eu (harmonized with 8 other major European cohorts) and we will work with CLOSER by contributing our experience in this area to the construction of harmonized meta-data standards for 1958BC planned over the next year |
Collaborator Contribution | The UK is home to the largest and longest-running longitudinal studies in the world. The Cohorts and Longitudinal Studies Enhancement Resource (CLOSER) plasy a vital role in maximising the use, value and impact of these studies both within the UK and abroad. It will focus on nine of the country's leading studies, with participants born as early as 1911 and as recently as 2007. 1958BC is one of the cohorts centrally involved in CLOSER. |
Impact | Still in initial stages with full impact yet to be determined |
Start Year | 2012 |
Description | CLOSER |
Organisation | University College London |
Department | Centre for Longitudinal Studies |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | 58READIE is working with CLOSER on a number of issues that are of central strategic importance to the development of effective national mechanisms for data access and exploitation. Two current issues being addressed together are the development of a strategy for utilisation of biosamples (unlike data, these represent a finite resource), and development of a framework for feedback of clinically relevant findings. In addition we interface with CLOSER in relation to data harmonization - a formal DataSHaPER for 1958BC on 96 variables has been created for the Healthy Obese Project under BioSHaRE-eu (harmonized with 8 other major European cohorts) and we will work with CLOSER by contributing our experience in this area to the construction of harmonized meta-data standards for 1958BC planned over the next year |
Collaborator Contribution | The UK is home to the largest and longest-running longitudinal studies in the world. The Cohorts and Longitudinal Studies Enhancement Resource (CLOSER) plasy a vital role in maximising the use, value and impact of these studies both within the UK and abroad. It will focus on nine of the country's leading studies, with participants born as early as 1911 and as recently as 2007. 1958BC is one of the cohorts centrally involved in CLOSER. |
Impact | Still in initial stages with full impact yet to be determined |
Start Year | 2012 |
Description | CLS-data sharing |
Organisation | University College London |
Department | Centre for Longitudinal Studies |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | METADAC develops and provides managed governance and study-design advice to CLS studies that have genetic data or biological samples, i.e. 1958 birth cohort, 1970 birth cohort, and millennium birth cohort. This allows data-sharing for sensitive genetic data and for depletble biological resource. |
Collaborator Contribution | CLS maintain the data, give technical advice on applications for data sharing, and issue data as well as contributing to future development of METADAC infrastructure. |
Impact | The outputs are listed as publications for METADAC. They are too numerous to detail here. |
Start Year | 2015 |
Description | Centre for Longitudinal Studies (CLS) |
Organisation | University College London |
Department | Centre for Longitudinal Studies |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | P Burton sits on the Strategic Advisory Board for the Centre for Longitudinal Studies |
Collaborator Contribution | The CLS is responsible for running several of Britain's internationally renowned birth cohort studies: the 1958 Birth Cohort; the 1970 Birth Cohort; and the Millennium Cohort Study. |
Impact | Provision of strategic and scientific advice . Ongoing DataSHIELD and ESPRESSO development - new ESPRESSO paper (in collaboration with UK Biobank) recently submitted, Opal/DataSHaPER/DataSHIELD paper describing true federated analysis is on the point of being accepted. |
Start Year | 2010 |
Description | English Longitudinal Study of Ageing |
Organisation | English Longitudinal Study of Ageing (ELSA) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The METADAC project provides data access governance for genetic data combined with phenotypic data produced within the English Longitudinal Study of Ageing (ELSA) and as part of that role provides advice on enacting data access and data sharing policy in practice. |
Collaborator Contribution | ELSA contributes to policy in practice development within METADAC and with its partners. |
Impact | Societal outcomes are produced in the form of new basic knowledge and evidence for genetic understandings of health and to contribute to the development of medical treatment and subsequently to better health in the population. |
Start Year | 2016 |
Description | ImagineID |
Organisation | IMAGINE ID |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | ImagineID are partnering with METADAC to provide managed shared access to their research data. |
Collaborator Contribution | ImagineID provide the datasets for sharing, technically assess applications to use the data, and issue data when approved by METADAC |
Impact | No outputs arising as of 2020 as data sharing has not yet commenced. |
Start Year | 2018 |
Description | Natsal |
Organisation | National Survey of Sexual Attitudes and Lifestyles (Natsal) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | METADAC project develops and delivers managed access for Natsal data where it includes genetic (microbiome) samples, broadening the scope fo the data impact to include 3rd party investigations. |
Collaborator Contribution | Natsal provide and maintain the data, give technical assessments of applications, and are responsible for issue of data when authorised. |
Impact | Data sharing through metadac has not yet begun, Feb 2020 |
Start Year | 2018 |
Description | TwinsUK |
Organisation | King's College London |
Department | Department of Twin Research and Genetic Epidemiology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | METADAC provides advice on issues of data-sharing that Twins UK is considering; it is also the appeal route for data-sharing decisions. |
Collaborator Contribution | TwinsUK join METADAC meetings on a 6-weekly basis and face-to-face workshops to continue to jointly assess the current issues in genetic data sharing. |
Impact | Development of good practice between METADAC and Twins UK |
Start Year | 2015 |