1
|
Si L, Liu L, He Y. Scientific data management policy in China: a quantitative content analysis based on policy text. ASLIB J INFORM MANAG 2023. [DOI: 10.1108/ajim-05-2022-0257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PurposeThis paper aims to understand the current development situation of scientific data management policy in China, analyze the content structure of the policy and provide a theoretical basis for the improvement and optimization of the policy system.Design/methodology/approachChina's scientific data management policies were obtained through various channels such as searching government websites and policy and legal database, and 209 policies were finally identified as the sample for analysis after being screened and integrated. A three-dimensional framework was constructed based on the perspective of policy tools, combining stakeholder and lifecycle theories. And the content of policy texts was coded and quantitatively analyzed according to this framework.FindingsChina's scientific data management policies can be divided into four stages according to the time sequence: infancy, preliminary exploration, comprehensive promotion and key implementation. The policies use a combination of three types of policy tools: supply-side, environmental-side and demand-side, involving multiple stakeholders and covering all stages of the lifecycle. But policy tools and their application to stakeholders and lifecycle stages are imbalanced. The development of future scientific data management policy should strengthen the balance of policy tools, promote the participation of multiple subjects and focus on the supervision of the whole lifecycle.Originality/valueThis paper constructs a three-dimensional analytical framework and uses content analysis to quantitatively analyze scientific data management policy texts, extending the research perspective and research content in the field of scientific data management. The study identifies policy focuses and proposes several strategies that will help optimize the scientific data management policy.
Collapse
|
2
|
Amr A, Hinderer M, Griebel L, Deuber D, Egger C, Sedaghat-Hamedani F, Kayvanpour E, Huhn D, Haas J, Frese K, Schweig M, Marnau N, Krämer A, Durand C, Battke F, Prokosch HU, Backes M, Keller A, Schröder D, Katus HA, Frey N, Meder B. Controlling my genome with my smartphone: first clinical experiences of the PROMISE system. Clin Res Cardiol 2021; 111:638-650. [PMID: 34694434 PMCID: PMC9151530 DOI: 10.1007/s00392-021-01942-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/13/2021] [Indexed: 12/01/2022]
Abstract
Background The development of Precision Medicine strategies requires high-dimensional phenotypic and genomic data, both of which are highly privacy-sensitive data types. Conventional data management systems lack the capabilities to sufficiently handle the expected large quantities of such sensitive data in a secure manner. PROMISE is a genetic data management concept that implements a highly secure platform for data exchange while preserving patient interests, privacy, and autonomy. Methods The concept of PROMISE to democratize genetic data was developed by an interdisciplinary team. It integrates a sophisticated cryptographic concept that allows only the patient to grant selective access to defined parts of his genetic information with single DNA base-pair resolution cryptography. The PROMISE system was developed for research purposes to evaluate the concept in a pilot study with nineteen cardiomyopathy patients undergoing genotyping, questionnaires, and longitudinal follow-up. Results The safety of genetic data was very important to 79%, and patients generally regarded the data as highly sensitive. More than half the patients reported that their attitude towards the handling of genetic data has changed after using the PROMISE app for 4 months (median). The patients reported higher confidence in data security and willingness to share their data with commercial third parties, including pharmaceutical companies (increase from 5 to 32%). Conclusion PROMISE democratizes genomic data by a transparent, secure, and patient-centric approach. This clinical pilot study evaluating a genetic data infrastructure is unique and shows that patient’s acceptance of data sharing can be increased by patient-centric decision-making. Graphic abstract ![]()
Collapse
Affiliation(s)
- Ali Amr
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | - Marc Hinderer
- Chair of Medical Informatics, Friedrich Alexander University Erlangen-Nürnberg, 91058, Erlangen, Germany
| | - Lena Griebel
- Chair of Medical Informatics, Friedrich Alexander University Erlangen-Nürnberg, 91058, Erlangen, Germany
| | - Dominic Deuber
- Chair for Applied Cryptography, Friedrich-Alexander University Erlangen-Nürnberg, 90429, Erlangen, Germany
| | - Christoph Egger
- Chair for Applied Cryptography, Friedrich-Alexander University Erlangen-Nürnberg, 90429, Erlangen, Germany
| | - Farbod Sedaghat-Hamedani
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | - Elham Kayvanpour
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | - Daniel Huhn
- Department of General Internal Medicine and Psychosomatic, University Hospital Heidelberg, 69120, Heidelberg, Germany
| | - Jan Haas
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | - Karen Frese
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | | | - Ninja Marnau
- CISPA Helmholtz Center for Information Security, 66123, Saarbrücken, Germany
| | - Annika Krämer
- Chair for Information Security and Cryptography, Saarland University, 66123, Saarbrücken, Germany
| | - Claudia Durand
- CeGaT GmbH, Center for Genomics and Transcriptomics, 72076, Tübingen, Germany
| | - Florian Battke
- CeGaT GmbH, Center for Genomics and Transcriptomics, 72076, Tübingen, Germany
| | - Hans-Ulrich Prokosch
- Chair of Medical Informatics, Friedrich Alexander University Erlangen-Nürnberg, 91058, Erlangen, Germany
| | - Michael Backes
- CISPA Helmholtz Center for Information Security, 66123, Saarbrücken, Germany.,Chair for Information Security and Cryptography, Saarland University, 66123, Saarbrücken, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Dominique Schröder
- Chair for Applied Cryptography, Friedrich-Alexander University Erlangen-Nürnberg, 90429, Erlangen, Germany
| | - Hugo A Katus
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | - Norbert Frey
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany
| | - Benjamin Meder
- Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany. .,DZHK (German Centre for Cardiovascular Research), 69120, Heidelberg, Germany. .,Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA, 94305, USA.
| |
Collapse
|
3
|
Perez-Pozuelo I, Spathis D, Gifford-Moore J, Morley J, Cowls J. Digital phenotyping and sensitive health data: Implications for data governance. J Am Med Inform Assoc 2021; 28:2002-2008. [PMID: 33647989 PMCID: PMC8363798 DOI: 10.1093/jamia/ocab012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/14/2021] [Accepted: 01/21/2020] [Indexed: 01/08/2023] Open
Abstract
In this perspective we want to highlight the rise of what we call "digital phenotyping" or inferring insights about peopleãs health and behavior from their digital devices and data, and the challenges this introduces. Indeed, the collection, processing, and storage of data comes with significant ethical, security and data governance considerations. The COVID-19 pandemic has laid bare the importance of scientific data and modeling, both to understand the nature and spread of the disease, and to develop treatment. But digital devices have also played a (controversial) role, with track and trace systems and increasingly "vaccine passports" being rolled out to help societies open back up. These systems epitomize a wider and longer-standing trend towards seeing almost any form of personal data as potentially health data, especially with the rise of consumer health trackers and other gadgets. Here, we offer an overview of the risks this introduces, drawing on the earlier revolution in genomic sequencing, and propose guidelines to help protect privacy whilst utilizing personal data to help get society back up to speed.
Collapse
Affiliation(s)
- Ignacio Perez-Pozuelo
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
- The Alan Turing Institute, London, United Kingdom
| | - Dimitris Spathis
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | | | - Jessica Morley
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom
| | - Josh Cowls
- The Alan Turing Institute, London, United Kingdom
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
4
|
Rashkin MD, Bowes J, Dunaway K, Dhaliwal J, Loomis E, Riffle S, Washington NL, Ziegler C, Lu J, Levin E. Genetic counseling, 2030: An on-demand service tailored to the needs of a price conscious, genetically literate, and busy world. J Genet Couns 2020; 28:456-465. [PMID: 30964579 DOI: 10.1002/jgc4.1123] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 03/06/2019] [Accepted: 03/08/2019] [Indexed: 12/20/2022]
Abstract
The practice of genetic counseling is going to be impacted by the public's expectation that goods, services, information, and experiences happen on demand, wherever and whenever people want them. Building from trends that are currently taking shape, this article looks just over a decade into the future-to 2030-to provide a description of how the field of genetics and genetic counseling will be changed, as well as advice for genetic counselors for how to prepare. We build from the prediction that a large portion of the general public will have access to their digitized whole genome sequence anytime, any place, on any device. We focus on five topics downstream of this prediction: public health, personal autonomy, polygenic scores (PGS), evolving clinical practices, and genetic privacy.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - James Lu
- Helix Opco, LLC, San Carlos, California
| | | |
Collapse
|
5
|
Maxson Jones K, Ankeny RA, Cook-Deegan R. The Bermuda Triangle: The Pragmatics, Policies, and Principles for Data Sharing in the History of the Human Genome Project. JOURNAL OF THE HISTORY OF BIOLOGY 2018; 51:693-805. [PMID: 30390178 PMCID: PMC7307446 DOI: 10.1007/s10739-018-9538-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The Bermuda Principles for DNA sequence data sharing are an enduring legacy of the Human Genome Project (HGP). They were adopted by the HGP at a strategy meeting in Bermuda in February of 1996 and implemented in formal policies by early 1998, mandating daily release of HGP-funded DNA sequences into the public domain. The idea of daily sharing, we argue, emanated directly from strategies for large, goal-directed molecular biology projects first tested within the "community" of C. elegans researchers, and were introduced and defended for the HGP by the nematode biologists John Sulston and Robert Waterston. In the C. elegans community, and subsequently in the HGP, daily sharing served the pragmatic goals of quality control and project coordination. Yet in the HGP human genome, we also argue, the Bermuda Principles addressed concerns about gene patents impeding scientific advancement, and were aspirational and flexible in implementation and justification. They endured as an archetype for how rapid data sharing could be realized and rationalized, and permitted adaptation to the needs of various scientific communities. Yet in addition to the support of Sulston and Waterston, their adoption also depended on the clout of administrators at the US National Institutes of Health (NIH) and the UK nonprofit charity the Wellcome Trust, which together funded 90% of the HGP human sequencing effort. The other nations wishing to remain in the HGP consortium had to accommodate to the Bermuda Principles, requiring exceptions from incompatible existing or pending data access policies for publicly funded research in Germany, Japan, and France. We begin this story in 1963, with the biologist Sydney Brenner's proposal for a nematode research program at the Laboratory of Molecular Biology (LMB) at the University of Cambridge. We continue through 2003, with the completion of the HGP human reference genome, and conclude with observations about policy and the historiography of molecular biology.
Collapse
Affiliation(s)
- Kathryn Maxson Jones
- Department of History, Princeton University, Princeton, NJ, USA.
- MBL McDonnell Foundation Scholar, Marine Biological Laboratory, Woods Hole, MA, USA.
| | - Rachel A Ankeny
- School of Humanities, The University of Adelaide, Adelaide, Australia
| | - Robert Cook-Deegan
- School for the Future of Innovation in Society, Consortium for Science, Policy & Outcomes, Arizona State University, Barrett & O'Connor Washington Center, Washington, D.C., USA
| |
Collapse
|
7
|
Cook-Deegan R, Ankeny RA, Maxson Jones K. Sharing Data to Build a Medical Information Commons: From Bermuda to the Global Alliance. Annu Rev Genomics Hum Genet 2017; 18:389-415. [PMID: 28415857 PMCID: PMC5634517 DOI: 10.1146/annurev-genom-083115-022515] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The Human Genome Project modeled its open science ethos on nematode biology, most famously through daily release of DNA sequence data based on the 1996 Bermuda Principles. That open science philosophy persists, but daily, unfettered release of data has had to adapt to constraints occasioned by the use of data from individual people, broader use of data not only by scientists but also by clinicians and individuals, the global reach of genomic applications and diverse national privacy and research ethics laws, and the rising prominence of a diverse commercial genomics sector. The Global Alliance for Genomics and Health was established to enable the data sharing that is essential for making meaning of genomic variation. Data-sharing policies and practices will continue to evolve as researchers, health professionals, and individuals strive to construct a global medical and scientific information commons.
Collapse
Affiliation(s)
- Robert Cook-Deegan
- School for the Future of Innovation in Society, Arizona State University, Washington, DC 20009;
| | - Rachel A Ankeny
- School of Humanities, University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Kathryn Maxson Jones
- Program in History of Science, Department of History, Princeton University, Princeton, New Jersey 08544
| |
Collapse
|