Automated Author ProfileScown, M.W. (Murray)
0000-0003-0663-7937
Scown, M.W. (Murray)
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.6 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
DATASET, CODE, AND PREPRINT for: A harmonised country-level dataset to support the global stocktake regarding loss and damage from climate change
Submitted for review.
Abstract Under the Paris Agreement, parties should undertake a global stocktake of progress towards meeting the goals of the agreement and tackling climate change. The first global stocktake will be undertaken in 2023, and an assessment of loss and damage from climate change is an important part of the process. Loss and damage refers to the impacts of climate change felt when mitigation and adaptation efforts are inadequate. Much data, including metrics and indicators relevant for loss and damage, are held in existing global databases, but these are disparate and cannot easily be combined and compared to support the global stocktake. We combine relevant primary data sources to provide a harmonised country-level global dataset containing relevant indicators of: recorded losses and damages from climate-related events; exposure to climate-related events; country vulnerability and adaptation readiness; scientific studies of climate change attribution; financial support for climate adaptation; and contextual governance conditions. The indicators are standardised against country population and GDP where relevant. We describe original data sources, processing steps, and an overview of key indicators in the dataset. We also compare the assembled data to existing global risk databases; namely, the INFORM risk index and the World Risk Index. This comparison, provided in the Supporting Information, shows a large amount of redundancy among vulnerability and governance indicators, and we suggest that creators of new databases and risk indices be clear about data limitations and the gaps specific indices attempt to fill in the global data landscape. We recommend the standard use of ISO codes in future databases of this nature, as well as clear metadata regarding how overseas territories are treated relative to their sovereign state, and information on dissolution and creation of states over time.
Authors
- Scown, M.W. (Murray) ;
- Chaffin, Brian ;
- Triyanti, Annisa ;
- Boyd, Emily
DATASET, CODE, AND PREPRINT for: A harmonised country-level dataset to support the global stocktake regarding loss and damage from climate change
Submitted for review.
Abstract Under the Paris Agreement, parties should undertake a global stocktake of progress towards meeting the goals of the agreement and tackling climate change. The first global stocktake will be undertaken in 2023, and an assessment of loss and damage from climate change is an important part of the process. Loss and damage refers to the impacts of climate change felt when mitigation and adaptation efforts are inadequate. Much data, including metrics and indicators relevant for loss and damage, are held in existing global databases, but these are disparate and cannot easily be combined and compared to support the global stocktake. We combine relevant primary data sources to provide a harmonised country-level global dataset containing relevant indicators of: recorded losses and damages from climate-related events; exposure to climate-related events; country vulnerability and adaptation readiness; scientific studies of climate change attribution; financial support for climate adaptation; and contextual governance conditions. The indicators are standardised against country population and GDP where relevant. We describe original data sources, processing steps, and an overview of key indicators in the dataset. We also compare the assembled data to existing global risk databases; namely, the INFORM risk index and the World Risk Index. This comparison, provided in the Supporting Information, shows a large amount of redundancy among vulnerability and governance indicators, and we suggest that creators of new databases and risk indices be clear about data limitations and the gaps specific indices attempt to fill in the global data landscape. We recommend the standard use of ISO codes in future databases of this nature, as well as clear metadata regarding how overseas territories are treated relative to their sovereign state, and information on dissolution and creation of states over time.
Authors
- Scown, M.W. (Murray) ;
- Chaffin, Brian ;
- Triyanti, Annisa ;
- Boyd, Emily
DATASET, CODE, AND PREPRINT for: A harmonised country-level dataset to support the global stocktake regarding loss and damage from climate change
Submitted for review.
Abstract Under the Paris Agreement, parties should undertake a global stocktake of progress towards meeting the goals of the agreement and tackling climate change. The first global stocktake will be undertaken in 2023, and an assessment of loss and damage from climate change is an important part of the process. Loss and damage refers to the impacts of climate change felt when mitigation and adaptation efforts are inadequate. Much data, including metrics and indicators relevant for loss and damage, are held in existing global databases, but these are disparate and cannot easily be combined and compared to support the global stocktake. We combine relevant primary data sources to provide a harmonised country-level global dataset containing relevant indicators of: recorded losses and damages from climate-related events; exposure to climate-related events; country vulnerability and adaptation readiness; scientific studies of climate change attribution; financial support for climate adaptation; and contextual governance conditions. The indicators are standardised against country population and GDP where relevant. We describe original data sources, processing steps, and an overview of key indicators in the dataset. We also compare the assembled data to existing global risk databases; namely, the INFORM risk index and the World Risk Index. This comparison, provided in the Supporting Information, shows a large amount of redundancy among vulnerability and governance indicators, and we suggest that creators of new databases and risk indices be clear about data limitations and the gaps specific indices attempt to fill in the global data landscape. We recommend the standard use of ISO codes in future databases of this nature, as well as clear metadata regarding how overseas territories are treated relative to their sovereign state, and information on dissolution and creation of states over time.
Authors
- Scown, M.W. (Murray) ;
- Chaffin, Brian ;
- Triyanti, Annisa ;
- Boyd, Emily
DATASET, CODE, AND PREPRINT for: A harmonised country-level dataset to support the global stocktake regarding loss and damage from climate change
Submitted for review.
Abstract Under the Paris Agreement, parties should undertake a global stocktake of progress towards meeting the goals of the agreement and tackling climate change. The first global stocktake will be undertaken in 2023, and an assessment of loss and damage from climate change is an important part of the process. Loss and damage refers to the impacts of climate change felt when mitigation and adaptation efforts are inadequate. Much data, including metrics and indicators relevant for loss and damage, are held in existing global databases, but these are disparate and cannot easily be combined and compared to support the global stocktake. We combine relevant primary data sources to provide a harmonised country-level global dataset containing relevant indicators of: recorded losses and damages from climate-related events; exposure to climate-related events; country vulnerability and adaptation readiness; scientific studies of climate change attribution; financial support for climate adaptation; and contextual governance conditions. The indicators are standardised against country population and GDP where relevant. We describe original data sources, processing steps, and an overview of key indicators in the dataset. We also compare the assembled data to existing global risk databases; namely, the INFORM risk index and the World Risk Index. This comparison, provided in the Supporting Information, shows a large amount of redundancy among vulnerability and governance indicators, and we suggest that creators of new databases and risk indices be clear about data limitations and the gaps specific indices attempt to fill in the global data landscape. We recommend the standard use of ISO codes in future databases of this nature, as well as clear metadata regarding how overseas territories are treated relative to their sovereign state, and information on dissolution and creation of states over time.
Authors
- Scown, M.W. (Murray) ;
- Chaffin, Brian ;
- Triyanti, Annisa ;
- Boyd, Emily