Ethical Challenges of Big Data in Public Health. Bourne, P., E., Vayena, E., Salathé, M., Madoff, L., C., Brownstein, J., S., & Bourne, P., E. PLoS Computational Biology, 11(2):e1003904, 2, 2015. ![Ethical Challenges of Big Data in Public Health [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex The emergence of DDD promises tangible global public health benefits, but these are accompanied by significant ethical challenges. While some of the challenges are inherent to public health practice and are only accentuated by the use of digital tools, others are specific to this approach and largely unprecedented. They span a wide spectrum, ranging from risks to individual rights, such as privacy and concerns about autonomy, to individuals’ obligations to contribute to the common good and the demands of transparency and trust. We have grouped these concerns under the headings of context sensitivity, nexus of ethics and methodology, and bootstrapping legitimacy. It is vital that engagement with these challenges comes to be seen as part of the development of DDD itself, not as some extrinsic constraint. We intend this paper to be a contribution to the development of a more comprehensive and concrete ethical framework for DDD, one that will enable DDD to find an ethical pathway to realizing its great potential for public health.
@article{
title = {Ethical Challenges of Big Data in Public Health},
type = {article},
year = {2015},
identifiers = {[object Object]},
pages = {e1003904},
volume = {11},
websites = {http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004073,http://dx.plos.org/10.1371/journal.pcbi.1003904},
month = {2},
editors = {[object Object]},
id = {5d55ff08-43aa-3fff-901b-41300944f19a},
created = {2017-12-24T12:59:46.397Z},
accessed = {2017-08-14},
file_attached = {false},
profile_id = {9f7f4a80-a858-3fc9-8e53-a74a27f1bf28},
group_id = {b178541f-df93-3030-8e17-de511cc90b17},
last_modified = {2017-12-24T12:59:46.397Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
source_type = {article},
language = {en},
private_publication = {false},
abstract = {The emergence of DDD promises tangible global public health benefits, but these are accompanied by significant ethical challenges. While some of the challenges are inherent to public health practice and are only accentuated by the use of digital tools, others are specific to this approach and largely unprecedented. They span a wide spectrum, ranging from risks to individual rights, such as privacy and concerns about autonomy, to individuals’ obligations to contribute to the common good and the demands of transparency and trust. We have grouped these concerns under the headings of context sensitivity, nexus of ethics and methodology, and bootstrapping legitimacy. It is vital that engagement with these challenges comes to be seen as part of the development of DDD itself, not as some extrinsic constraint. We intend this paper to be a contribution to the development of a more comprehensive and concrete ethical framework for DDD, one that will enable DDD to find an ethical pathway to realizing its great potential for public health.},
bibtype = {article},
author = {Bourne, Philip E. and Vayena, Effy and Salathé, Marcel and Madoff, Lawrence C. and Brownstein, John S. and Bourne, Philip E.},
journal = {PLoS Computational Biology},
number = {2}
}
Downloads: 0
{"_id":"8TgGw4PyERSg2knRX","bibbaseid":"bourne-vayena-salath-madoff-brownstein-bourne-ethicalchallengesofbigdatainpublichealth-2015","downloads":0,"creationDate":"2017-12-24T13:04:44.010Z","title":"Ethical Challenges of Big Data in Public Health","author_short":["Bourne, P., E.","Vayena, E.","Salathé, M.","Madoff, L., C.","Brownstein, J., S.","Bourne, P., E."],"year":2015,"bibtype":"article","biburl":null,"bibdata":{"title":"Ethical Challenges of Big Data in Public Health","type":"article","year":"2015","identifiers":"[object Object]","pages":"e1003904","volume":"11","websites":"http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004073,http://dx.plos.org/10.1371/journal.pcbi.1003904","month":"2","editors":"[object Object]","id":"5d55ff08-43aa-3fff-901b-41300944f19a","created":"2017-12-24T12:59:46.397Z","accessed":"2017-08-14","file_attached":false,"profile_id":"9f7f4a80-a858-3fc9-8e53-a74a27f1bf28","group_id":"b178541f-df93-3030-8e17-de511cc90b17","last_modified":"2017-12-24T12:59:46.397Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"source_type":"article","language":"en","private_publication":false,"abstract":"The emergence of DDD promises tangible global public health benefits, but these are accompanied by significant ethical challenges. While some of the challenges are inherent to public health practice and are only accentuated by the use of digital tools, others are specific to this approach and largely unprecedented. They span a wide spectrum, ranging from risks to individual rights, such as privacy and concerns about autonomy, to individuals’ obligations to contribute to the common good and the demands of transparency and trust. We have grouped these concerns under the headings of context sensitivity, nexus of ethics and methodology, and bootstrapping legitimacy. It is vital that engagement with these challenges comes to be seen as part of the development of DDD itself, not as some extrinsic constraint. We intend this paper to be a contribution to the development of a more comprehensive and concrete ethical framework for DDD, one that will enable DDD to find an ethical pathway to realizing its great potential for public health.","bibtype":"article","author":"Bourne, Philip E. and Vayena, Effy and Salathé, Marcel and Madoff, Lawrence C. and Brownstein, John S. and Bourne, Philip E.","journal":"PLoS Computational Biology","number":"2","bibtex":"@article{\n title = {Ethical Challenges of Big Data in Public Health},\n type = {article},\n year = {2015},\n identifiers = {[object Object]},\n pages = {e1003904},\n volume = {11},\n websites = {http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004073,http://dx.plos.org/10.1371/journal.pcbi.1003904},\n month = {2},\n editors = {[object Object]},\n id = {5d55ff08-43aa-3fff-901b-41300944f19a},\n created = {2017-12-24T12:59:46.397Z},\n accessed = {2017-08-14},\n file_attached = {false},\n profile_id = {9f7f4a80-a858-3fc9-8e53-a74a27f1bf28},\n group_id = {b178541f-df93-3030-8e17-de511cc90b17},\n last_modified = {2017-12-24T12:59:46.397Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n source_type = {article},\n language = {en},\n private_publication = {false},\n abstract = {The emergence of DDD promises tangible global public health benefits, but these are accompanied by significant ethical challenges. While some of the challenges are inherent to public health practice and are only accentuated by the use of digital tools, others are specific to this approach and largely unprecedented. They span a wide spectrum, ranging from risks to individual rights, such as privacy and concerns about autonomy, to individuals’ obligations to contribute to the common good and the demands of transparency and trust. We have grouped these concerns under the headings of context sensitivity, nexus of ethics and methodology, and bootstrapping legitimacy. It is vital that engagement with these challenges comes to be seen as part of the development of DDD itself, not as some extrinsic constraint. We intend this paper to be a contribution to the development of a more comprehensive and concrete ethical framework for DDD, one that will enable DDD to find an ethical pathway to realizing its great potential for public health.},\n bibtype = {article},\n author = {Bourne, Philip E. and Vayena, Effy and Salathé, Marcel and Madoff, Lawrence C. and Brownstein, John S. and Bourne, Philip E.},\n journal = {PLoS Computational Biology},\n number = {2}\n}","author_short":["Bourne, P., E.","Vayena, E.","Salathé, M.","Madoff, L., C.","Brownstein, J., S.","Bourne, P., E."],"urls":{"Website":"http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004073,http://dx.plos.org/10.1371/journal.pcbi.1003904"},"bibbaseid":"bourne-vayena-salath-madoff-brownstein-bourne-ethicalchallengesofbigdatainpublichealth-2015","role":"author","downloads":0},"search_terms":["ethical","challenges","big","data","public","health","bourne","vayena","salathé","madoff","brownstein","bourne"],"keywords":[],"authorIDs":[]}