The lawful sharing of health research data in South Africa and beyond

Author(s):  
Beverley Townsend
2015 ◽  
Vol 10 (3) ◽  
pp. 290-301 ◽  
Author(s):  
Spencer G. Denny ◽  
Blessing Silaigwana ◽  
Douglas Wassenaar ◽  
Susan Bull ◽  
Michael Parker

2019 ◽  
Vol 2 ◽  
pp. 15
Author(s):  
Ciara Staunton ◽  
Rachel Adams ◽  
Edward S. Dove ◽  
Natalie Harriman ◽  
Lyn Horn ◽  
...  

Genomic research and biobanking has undergone exponential growth in Africa and at the heart of this research is the sharing of biospecimens and associated clinical data amongst researchers in Africa and across the world. While this move towards open science is progressing, there has been a strengthening internationally of data protection regulations that seek to safeguard the rights of data subjects while promoting the movement of data for the benefit of research. In line with this global shift, many jurisdictions in Africa are introducing data protection regulations, but there has been limited consideration of the regulation of data sharing for genomic research and biobanking in Africa. South Africa (SA) is one country that has sought to regulate the international sharing of data and has enacted the Protection of Personal Information Act (POPIA) 2013 that will change the governance and regulation of data in SA, including health research data, once it is in force. To identify and discuss challenges and opportunities in the governance of data sharing for genomic and health research data in SA, a two-day meeting was convened in February 2019 in Cape Town, SA with over 30 participants with expertise in law, ethics, genomics and biobanking science, drawn from academia, industry, and government. This report sets out some of the key challenges identified during the workshop and the opportunities and limitations of the current regulatory framework in SA.


2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Phaik Yeong Cheah ◽  
Nattapat Jatupornpimol ◽  
Borimas Hanboonkunupakarn ◽  
Napat Khirikoekkong ◽  
Podjanee Jittamala ◽  
...  

2020 ◽  
Author(s):  
Carsten Schmidt ◽  
Stephan Struckmann ◽  
Cornelia Enzenbach ◽  
Achim Reineke ◽  
Jürgen Stausberg ◽  
...  

Abstract Background No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate harmonized data quality assessments. Methods Developments were guided by the evaluation of an existing data quality framework and literature reviews. Functions for the computation of data quality indicators were written in R. The concept and implementations are illustrated based on data from the population-based Study of Health in Pomerania (SHIP).Results The data quality framework comprises 34 data quality indicators. These target three aspects of data quality: compliance with pre-specified structural and technical requirements (Integrity), presence of data values (completeness), and error in the data values (correctness). R functions calculate data quality metrics based on the provided study data and metadata and R Markdown reports are generated. Guidance on the concept and tools is available through a dedicated website. Conclusions The presented data quality framework is the first of its kind for observational health research data collections that links a formal concept to implementations in R. The framework and tools facilitate harmonized data quality assessments in pursue of transparent and reproducible research. Application scenarios comprise data quality monitoring while a study is carried out as well as performing an initial data analysis before starting substantive scientific analyses.


2020 ◽  
pp. 104973232097655
Author(s):  
Anri Smit ◽  
Leslie Swartz ◽  
Jason Bantjes ◽  
Rizwana Roomaney ◽  
Bronwyne Coetzee

Qualitative researchers are increasingly making use of multiple media to collect data within a single study. Such approaches may have the potential to generate rich insights; however, there are also potential methodological challenges in simultaneously analyzing data from multiple media. Using three case studies from our work with women who had recurrent breast cancer in South Africa, we explore four challenges of using multiple media to collect data: (a) how to understand the repetition of themes (or lack thereof) across multiple media; (b) whether or not data collected from multiple media over a protracted period should be read as longitudinal data reflecting a dynamic process; (c) what impact using multiple media has on the participant–researcher relationship; and (d) how the medium may shape the data obtained. We propose that the value of using multiple methods lies in the opportunity they provide to understand how participants engage with the different media.


Author(s):  
Patricia Wilson ◽  
Azwihangwisi Helen Mavhandu-Mudzusi

Abstract Community and public participation and involvement is an underpinning principle of primary health care, an essential component of a social justice-orientated approach to health care and a vehicle to improving health outcomes for patients, public and communities. However, influenced by history and context, there are intrinsic issues surrounding power imbalance and other barriers to partnerships between communities, public, policy makers and researchers. It is important to acknowledge these issues, and through doing so share experiences and learn from those working within very different settings. In South Africa, community participation is seen as a route to decolonisation. It is also integral to the core functions of South African Higher Education Institutes, alongside teaching and research. In the UK, there has also been a history of participation and involvement as part of a social rights movement, but notably public involvement has become embedded in publicly funded health research as a policy imperative. In this paper, we draw on our respective programmes of work in public and community participation and involvement. These include a South African community engagement project to reduce teenage pregnancy and HIV infection working through a partnership between teachers, students and university academics, and a national evaluation in England of public involvement in applied health research. We begin by highlighting the lack of clarity and terms used interchangeably to describe participation, engagement and involvement. Frameworks for partnership working with relevance to South Africa and the UK are then analysed, suggesting key themes of relationships, working together, and evaluation and monitoring. The South African project and examples of public involvement in English primary and community care research are examined through these themes. We conclude the paper by mapping out common enablers and barriers to partnership working within these very different contexts.


PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0135545 ◽  
Author(s):  
Irene Jao ◽  
Francis Kombe ◽  
Salim Mwalukore ◽  
Susan Bull ◽  
Michael Parker ◽  
...  

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