Background: Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises important ethico-legal questions and can be controversial. In the UK this has been highlighted by recent debate and controversy relating to the UK’s proposed ‘care.data’ initiative, and these issues reflect important societal and professional concerns about privacy, confidentiality and intellectual property. DataSHIELD provides a novel technological solution that can circumvent some of the most basic challenges in facilitating the access of researchers and other healthcare professionals to individual-level data. Methods: Commands are sent from a central analysis computer (AC) to several data computers (DCs) storing the data to be co-analysed. The data sets are analysed simultaneously but in parallel. The separate parallelized analyses are linked by non-disclosive summary statistics and commands transmitted back and forth between the DCs and the AC. This paper describes the technical implementation of DataSHIELD using a modified R statistical environment linked to an Opal database deployed behind the computer firewall of each DC. Analysis is controlled through a standard R environment at the AC. Results: Based on this Opal/R implementation, DataSHIELD is currently used by the Healthy Obese Project and the Environmental Core Project (BioSHaRE-EU) for the federated analysis of 10 data sets across eight European countries, and this illustrates the opportunities and challenges presented by the DataSHIELD approach. Conclusions: DataSHIELD facilitates important research in settings where: (i) a co-analysis of individual-level data from several studies is scientifically necessary but governance restrictions prohibit the release or sharing of some of the required data, and/or render data access unacceptably slow; (ii) a research group (e.g. in a developing nation) is particularly vulnerable to loss of intellectual property—the researchers want to fully share the information held in their data with national and international collaborators, but do not wish to hand over the physical data themselves; and (iii) a data set is to be included in an individual-level co-analysis but the physical size of the data precludes direct transfer to a new site for analysis.

Climate change is the world’s most pressing environmental issue, influencing almost all sectors of the economy. Agriculture is one of those sectors whose performance is primarily determined by an increasingly variable climate. Consequently, agriculture workers and particularly subsistence farmers are the proximate witnesses of the changing climate as their plight is one of having to struggle for their livelihood in the face of these emerging disruptions. Researchers in recent years have focused on ascertaining the perceived impacts of, and response to, climate change and agriculture. This study reviews the research specific to climate change-related experiences and observations of members of farming communities. Based on a systematic review of original research articles, published up until October 2016, the study reveals the status of in-field knowledge to inform future research. The review found that farmers worldwide have been experiencing changes in climate mainly regarding rising temperature, unpredictable and reduced rainfall. A majority have witnessed reduced agricultural production. Farmers hold differing explanations and respond accordingly to combat those changes. To orient adaptation measures towards those who are already experiencing and trying to respond to such changes, it is crucial to recognize and understand their views when formulating adaptation plans and policies.

Within most democracies there is an assumption that greater public participation and engagement in policy processes results in more effective policy measures. These assumed benefits include better framed and more robust policies and a more informed, articulate and engaged citizenry. Similar assumptions exist also in planning for climate adaptation where more public participation and engagement are seen as vital components of any adaptation strategy and policy development process. This article explores these assumptions and considers whether there is any evidence that the success of planning for unavoidable climate change is related to the extent of public participation. Using an evaluation framework based on three aspects of participation we critically review a set of climate adaptation policy instruments developed within each of the three levels of government in Australia but with a specific focus on the region of South East Queensland. ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

In disciplines such as biomedicine and social sciences, sharing and combining sensitive individual-level data is often prohibited by ethical-legal or governance constraints and other barriers such as the control of intellectual property or the huge sample sizes. DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual-levEL Databases) is a distributed approach that allows the analysis of sensitive individual-level data from one study, and the co-analysis of such data from several studies simultaneously without physically pooling them or disclosing any data. Following initial proof of principle, a stable DataSHIELD platform has now been implemented in a number of epidemiological consortia. This paper reports three new applications of DataSHIELD including application to post-publication sensitive data analysis, text data analysis and privacy protected data visualisation. Expansion of DataSHIELD analytic functionality and application to additional data types demonstrate the broad applications of the software beyond biomedical sciences.

Among parliamentary democracies there is a widespread belief that above and beyond the occasional opportunity to vote, citizens should be allowed to participate in decisions that affect them. Governments at all levels are now going further and supporting more active forms of citizenship in which various decision processes are open to more public participation. While this principle may be widely accepted, the practice has remained remarkably free from empirical scrutiny. For something that is held to deliver a myriad of benefits, we still know little of the extent to which these are in fact delivered. This article addresses this gap by developing a framework for conducting more robust empirical scrutiny of participatory exercises. It does so at three levels: first by proposing a conceptual clarification of the perceived benefits of greater participation, second by considering some of the methodological challenges in designing more robust evaluative studies and finally by reviewing measures that might be used in practice to quantify benefits.