Elizabeth Green's Outputs (42)

Output checking processes: Workshop report (2024)
Report

In March 2024 the authors organised a three-day workshop on output checking processes for trusted research environments (TREs). The aim was to explore current practices identify good/best operational practices. The report was intended to be a proof-o... Read More about Output checking processes: Workshop report.

Services, people and skills: Final report for future data services (2024)
Report

The aim of Future Data Services is to enable ESRC to make a long-term strategic decision about how to invest in data services infrastructure from 2024 onwards. The vision for the supply of data services post-2024 is one in which the benefits of tech... Read More about Services, people and skills: Final report for future data services.

Guide to output checking processes (2024)
Other

This guide reviews good practice, problems and solutions for the design or review of output checking processes in facilities dealing with confidential research data. Using the extant evidence base and a series of workshops, the guide covers:
- what... Read More about Guide to output checking processes.

Exploring production of social and economic value in social enterprises through a business model framework (2024)
Journal Article

This study explores how social enterprises create social and economic value through business models that support ex-offenders. The work was motivated by a request for help from an entrepreneur wishing to establish a business that supports ex-offender... Read More about Exploring production of social and economic value in social enterprises through a business model framework.

The statbarn: A new model for output statistical disclosure control (2024)
Presentation / Conference Contribution

A major success for research this century has been the growth of secure facilities allowing research access to detailed sensitive personal data. This has also raised awareness of the problem of output disclosure risk, where statistics may inadvertent... Read More about The statbarn: A new model for output statistical disclosure control.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White

Using pedagogical and psychological insights to train analysts using confidential data (2023)
Journal Article

With researchers increasingly gaining access to confidentiality data through restricted environments, interest has grown in the training of those researchers to protect confidentiality and to use the secure facility effectively. Researcher training,... Read More about Using pedagogical and psychological insights to train analysts using confidential data.

Economic impact of St Pauls Carnival 2023 (2023)
Report

The Economic Impact Assessment for the 2023 St Pauls Carnival concluded that the event brought to Bristol some £ 9.2 million in additional expenditure. The estimates were based on a peak attendance at this year’s Carnival believed to be around 120,00... Read More about Economic impact of St Pauls Carnival 2023.

The present and future of the Five Safes framework (2023)
Journal Article

The Five Safes has become the default framework for confidential data governance across multiple sectors and countries. Since its inception in 2003, the approach has influenced data management in many ways, particularly in the public sector. As it ha... Read More about The present and future of the Five Safes framework.

SACRO guide to statistical output checking (2023)
Other

This guide for output SDC is the first report from the SACRO project. It covers, theory of output SDC, including the new statbarns model, practicalities, operational considerations, and FAQs for output checking teams.

Research data governance in low-and middle-income countries (2023)
Report

Research and policy development on the governance of confidential research data is dominated by the work of academics and government agencies based in high-income countries (HICs). This leaves three quarters of the world’s population faced with a cor... Read More about Research data governance in low-and middle-income countries.

SACRO: Semi-Automated Checking Of Research Outputs (2023)
Presentation / Conference Contribution

Output checking can require significant resources, acting as a barrier to scaling up the research use of confidential data. We report on a project, SACRO, that is developing a general-purpose, semi-automatic output checking systems that works across... Read More about SACRO: Semi-Automated Checking Of Research Outputs.

Disclosure control issues in complex medical data (2023)
Presentation / Conference Contribution

The covid19 pandemic assisted the acceleration of routine access to medical records for research. In the UK platforms including OpenSafely and NHSDigital, alongside emerging hospital trust based Trusted Research Environments (TREs), demonstrate the u... Read More about Disclosure control issues in complex medical data.

Towards a comprehensive theory and practice of output SDC (2023)
Presentation / Conference Contribution

In 2000, the statistical disclosure control of outputs (OSDC) was largely limited to models of table protection developed by and intended for national statistical institutes (NSIs), as a particular branch of general SDC theory. However, in this centu... Read More about Towards a comprehensive theory and practice of output SDC.

Research data governance in low- and middle-income countries (2023)
Presentation / Conference Contribution

Research and policy development on the governance of confidential research data is dominated by the work of academics and government agencies based in high-income countries (HICs). This leaves three quarters of the world’s population faced with a cor... Read More about Research data governance in low- and middle-income countries.

Risk of disclosure when reporting commonly used univariate statistics (2022)
Presentation / Conference Contribution

When basic or descriptive summary statistics are reported, it may be possible that the entire sample of observations is inadvertently disclosed, or that members within a sample will be able to work out responses of others. Three sets of univariate su... Read More about Risk of disclosure when reporting commonly used univariate statistics.

The multidimensional model of the one-minute paper: Advancing theory through theoretical elaboration (2022)
Journal Article

The One Minute Paper (OMP) is a formative assessment technique which provides scaffolding for students to build knowledge. This study uses a theory elaboration approach to develop the Multidimensional Model of the One-Minute Paper. The model is conce... Read More about The multidimensional model of the one-minute paper: Advancing theory through theoretical elaboration.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference Contribution

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference Contribution

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.

Training analysts in the management of confidential data (2022)
Preprint / Working Paper

With researchers increasingly gaining access to confidentiality data through restricted environments, interest has grown in the training of those researchers to protect confidentiality and to use the secure facility effectively.
Researcher training,... Read More about Training analysts in the management of confidential data.