scholarly journals The ethics of big data as a public good: which public? Whose good?

2018 ◽  
Author(s):  
Linnet Taylor

International development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a ‘responsible data’ movement has evolved to discuss guidelines and frameworks that will establish ethical principles for data sharing. However, this movement is not gaining traction with those who hold the highest-value data, particularly mobile network operators who are proving reluctant to make data collected in low- and middle-income countries accessible through intermediaries. This paper evaluates how the argument for ‘data as a public good’ fits with the corporate reality of big data, exploring existing models for data sharing. I draw on the idea of corporate data as an ecosystem involving often conflicting rights, duties and claims, in comparison to the utilitarian claim that data's humanitarian value makes it imperative to share them. I assess the power dynamics implied by the idea of data as a public good, and how differing incentives lead actors to adopt particular ethical positions with regard to the use of data.

Author(s):  
Linnet Taylor

International development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a ‘responsible data’ movement has evolved to discuss guidelines and frameworks that will establish ethical principles for data sharing. However, this movement is not gaining traction with those who hold the highest-value data, particularly mobile network operators who are proving reluctant to make data collected in low- and middle-income countries accessible through intermediaries. This paper evaluates how the argument for ‘data as a public good’ fits with the corporate reality of big data, exploring existing models for data sharing. I draw on the idea of corporate data as an ecosystem involving often conflicting rights, duties and claims, in comparison to the utilitarian claim that data's humanitarian value makes it imperative to share them. I assess the power dynamics implied by the idea of data as a public good, and how differing incentives lead actors to adopt particular ethical positions with regard to the use of data. This article is part of the themed issue ‘The ethical impact of data science’.


Author(s):  
Sriganesh Lokanathan ◽  
Gabriel Kreindler ◽  
Nisansa Dilushan de Silva ◽  
Yuhei Miyauchi ◽  
Dedunu Dhananjaya

Author(s):  
Harry Minas

This chapter provides an overview of what is known about prevalence, social determinants, treatment, and course and impact of depression in developing, or low- and middle-income, countries. The importance of culture in depression and in the construction and application of diagnostic classifications and in health and social services is highlighted, with a particular focus on the applicability of ‘Western’ diagnostic constructs and service systems in developing country settings. The role of international organizations, such as WHO, and international development programs, such as the SDGs, in improving our understanding of depression and in developing effective and culturally appropriate responses is briefly examined. There is both a need and increasing opportunities in developing countries for greater commitment to mental health of populations, increased investment in mental health and social services, and culturally informed research that will contribute to improved global understanding of mental disorders in general and depression in particular.


JAMA ◽  
2013 ◽  
Vol 309 (23) ◽  
pp. 2443 ◽  
Author(s):  
Eric B. Larson

Author(s):  
Soroosh Nazem ◽  
Valeria Bruni ◽  
Elena Fabris ◽  
Alan Marcus ◽  
Barbara Melis ◽  
...  
Keyword(s):  

Author(s):  
Lazuardi Arisadewo ◽  
Andi Irfan Daeng Mappa ◽  
Muhammad Kharil Anwar ◽  
Reny Agustina Hasugian
Keyword(s):  
Big Data ◽  

Pada akhir tahun 2019, dunia dihebohkan dengan sebuah kejadian sebuah kasus pneumonia yang teridentifikasi sebagai jenis baru coronavirus yang berasal dari Kota Wuhan, China. Virus ini dapat menyebar pada hewan dan manusia, yang mana virus ini akan menyerang saluran pernafasan hingga dapat menyebabkan Sindrom Pernafasan Akut Berat (SARS). Penyebaran dan peningkatan jumlah kasus COVID-19 terjadi dengan waktu yang sangat cepat dan telah menyebar ke beberapa negara termasuk Indonesia. Perkembangan berbagai teknologi basis data membuat beragam data dan informasi medis disimpan dalam bentuk digital. Data medis saat ini hadir dalam bentuk big data, yaitu data yang tidak hanya memiliki jumlah yang besar tetapi juga bersifat kompleks, variatif, dan aktual. Dengan adanya big data dapat lebih mempermudah para dokter dan suster dalam menangani peningkatan pasien COVID-19 di Indonesia. Selain itu, penggunaan big data dapat mempermudah masyarakat untuk mendapatkan informasi tentang penyebaran COVID-19. Penelitian ini bertujuan guna memahami peranan dan implementasi big data dalam menangani data peningkatan pasien COVID-19 di Indonesia.


Author(s):  
Allison Schnable ◽  
Anthony J. DeMattee ◽  
Rachel Sullivan Robinson ◽  
Jennifer N. Brass ◽  
Wesley Longhofer

AbstractThis article presents a new strategy for reviewing large, multidisciplinary academic literatures: a multi-method comprehensive review (MCR). We present this approach and demonstrate its use by the NGO Knowledge Collective, which aims to aggregate knowledge on NGOs in international development. We explain the process by which scholars can identify, analyze, and synthesize a population of hundreds or thousands of articles. MCRs facilitate cross-disciplinary synthesis, systematically identify gaps in a literature, and can create data for further scholarly use. The main drawback is the significant resources needed to manage the volume of text to review, although such obstacles may be mitigated through advances in “big data” methodologies over time.


2020 ◽  
Vol 11 (2) ◽  
pp. 161-170
Author(s):  
Rochman Hadi Mustofa

AbstractBig Data has become a significant concern of the world, along with the era of digital transformation. However, there are still many young people, especially in developing countries, who are not yet aware of the security of their big data, especially personal data. Misuse of information from big data often results in violations of privacy, security, and cybercrime. This study aims to determine how aware of the younger generation of security and privacy of their big data. Data were collected qualitatively by interviews and focus group discussions (FGD) from. Respondents were undergraduate students who used social media and financial technology applications such as online shopping, digital payments, digital wallet and hotel/transportation booking applications. The results showed that students were not aware enough and understood the security or privacy of their digital data, and some respondents even gave personal data to potentially scam sites. Most students are not careful in providing big data information because they are not aware of the risks behind it, socialization is needed in the future as a step to prevent potential data theft.


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