Automated Author ProfileLawson-Tovey, Saskia
The University of Manchester0000-0002-8611-162x
Lawson-Tovey, Saskia
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: 3.3 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data catalogue describes the key metadata for all the CLUSTER datasets. For all datasets, the number of patients, treatment and timepoints available are described, In addition, for GWAS and omics datasets, tissue type, cell population, analysis platform and number of samples are provided. We are open to collaborating and sharing data with researchers who have research questions that may be answered by our data. Access to CLUSTER data is regulated according to the conditions of patient consent, study ethics and the CLUSTER Consortium’s policies. Access is available to researchers via an application to the CLUSTER data access committee - more details are available on CLUSTER's website
Authors
- Ng, Sandra ;
- Kartawinata, Melissa ;
- Lawson-Tovey, Saskia ;
- CLUSTER Consortiumn
This data catalogue describes the key metadata for all the CLUSTER datasets. For all datasets, the number of patients, treatment and timepoints available are described, In addition, for GWAS and omics datasets, tissue type, cell population, analysis platform and number of samples are provided. We are open to collaborating and sharing data with researchers who have research questions that may be answered by our data. Access to CLUSTER data is regulated according to the conditions of patient consent, study ethics and the CLUSTER Consortium’s policies. Access is available to researchers via an application to the CLUSTER data access committee - more details are available on CLUSTER's website
Authors
- Ng, Sandra ;
- Kartawinata, Melissa ;
- Lawson-Tovey, Saskia ;
- CLUSTER Consortiumn
This data dictionary describes the CLUSTER MTX clinical dataset. It contains key variables of interest for measuring treatment response to methotrexate (MTX) in juvenile idiopathic arthritis (JIA) patients at baseline/timepoint 1 (start of MTX treatment or up to 3 months before) and timepoint 2 (6 months after baseline, within a 3-12 month window). If a patient had multiple visits within a timepoint window, the one closest to baseline/6 months was selected. There are 2899 patients in this dataset. CLUSTER has brought together data from 4 UK observational JIA research cohort studies: the UK JIA Biologics Register, the Childhood Arthritis Prospective Study (CAPS) and the Childhood Arthritis Response to Medication Study (CHARMS). Clinical data from these studies was pooled to create the CLUSTER MTX clinical dataset. More details of CLUSTER's clinical data harmonisation process are available here: <link> We are open to collaborating and sharing data with researchers who have research questions that may be answered by our data. Access to CLUSTER data is regulated according to the conditions of patient consent, study ethics and the CLUSTER Consortium’s policies. Access is available to researchers via an application to the CLUSTER data access committee - more details are available on CLUSTER's website.
Authors
- Lawson-Tovey, Saskia ;
- Ng, Sandra ;
- CLUSTER Consortium
This data dictionary describes the CLUSTER MTX clinical dataset. It contains key variables of interest for measuring treatment response to methotrexate (MTX) in juvenile idiopathic arthritis (JIA) patients at baseline/timepoint 1 (start of MTX treatment or up to 3 months before) and timepoint 2 (6 months after baseline, within a 3-12 month window). If a patient had multiple visits within a timepoint window, the one closest to baseline/6 months was selected. There are 2899 patients in this dataset. CLUSTER has brought together data from 4 UK observational JIA research cohort studies: the UK JIA Biologics Register, the Childhood Arthritis Prospective Study (CAPS) and the Childhood Arthritis Response to Medication Study (CHARMS). Clinical data from these studies was pooled to create the CLUSTER MTX clinical dataset. More details of CLUSTER's clinical data harmonisation process are available here: <link> We are open to collaborating and sharing data with researchers who have research questions that may be answered by our data. Access to CLUSTER data is regulated according to the conditions of patient consent, study ethics and the CLUSTER Consortium’s policies. Access is available to researchers via an application to the CLUSTER data access committee - more details are available on CLUSTER's website.
Authors
- Lawson-Tovey, Saskia ;
- Ng, Sandra ;
- CLUSTER Consortium
This data dictionary describes the CLUSTER anti-TNF clinical dataset. It contains key variables of interest for measuring treatment response to tumour necrosis factor inhibitors (anti-TNF) in juvenile idiopathic arthritis (JIA) patients at baseline/timepoint 1 (start of anti-TNF treatment or up to 3 months before) and timepoint 2 (6 months after baseline, within a 3-12 month window). If a patient had multiple visits within a timepoint window, the one closest to baseline/6 months was selected. There are 2401 patients in this dataset. CLUSTER has brought together data from 4 UK observational JIA research cohort studies: the UK JIA Biologics Register, the Childhood Arthritis Prospective Study (CAPS) and the Childhood Arthritis Response to Medication Study (CHARMS). Clinical data from these studies was pooled to create the CLUSTER anti-TNF clinical dataset. More details of CLUSTER's clinical data harmonisation process are available here: <link> We are open to collaborating and sharing data with researchers who have research questions that may be answered by our data. Access to CLUSTER data is regulated according to the conditions of patient consent, study ethics and the CLUSTER Consortium’s policies. Access is available to researchers via an application to the CLUSTER data access committee - more details are available on CLUSTER's website.
Authors
- Lawson-Tovey, Saskia ;
- Ng, Sandra ;
- CLUSTER Consortium
This data dictionary describes the CLUSTER anti-TNF clinical dataset. It contains key variables of interest for measuring treatment response to tumour necrosis factor inhibitors (anti-TNF) in juvenile idiopathic arthritis (JIA) patients at baseline/timepoint 1 (start of anti-TNF treatment or up to 3 months before) and timepoint 2 (6 months after baseline, within a 3-12 month window). If a patient had multiple visits within a timepoint window, the one closest to baseline/6 months was selected. There are 2401 patients in this dataset. CLUSTER has brought together data from 4 UK observational JIA research cohort studies: the UK JIA Biologics Register, the Childhood Arthritis Prospective Study (CAPS) and the Childhood Arthritis Response to Medication Study (CHARMS). Clinical data from these studies was pooled to create the CLUSTER anti-TNF clinical dataset. More details of CLUSTER's clinical data harmonisation process are available here: <link> We are open to collaborating and sharing data with researchers who have research questions that may be answered by our data. Access to CLUSTER data is regulated according to the conditions of patient consent, study ethics and the CLUSTER Consortium’s policies. Access is available to researchers via an application to the CLUSTER data access committee - more details are available on CLUSTER's website.
Authors
- Lawson-Tovey, Saskia ;
- Ng, Sandra ;
- CLUSTER Consortium