How can CORC receive data?
Any data provided for analysis must be effectively anonymised in accordance with the Information Commissioner’s Office (ICO) draft guidance on anonymisation, pseudonymisation and privacy enhancing technologies. As part of this, please ensure files do not contain any information from which people could be readily identified e.g. names, dates of birth, addresses, email addresses, NHS numbers.
Please note that we analyse change on measures that have been completed at time point 1 and time point 2 by 10 or more people. If this is not the case for a particular measure, we advise collecting more data at both time points before providing it for analysis.
When anonymised data are ready for submission, please contact CORC@annafreud.org. We will invite you to upload your data to a secure Data Transfer Portal, for which a guide can be accessed here.
Data provided for analysis may be structured in different ways, depending on which is easiest for your organisation:
1. Sending data specific to your organisation
Please provide us with descriptions of the variables (columns) in your data files and any codes used. Before uploading your data it must be effectively anonymised in accordance with the Information Commissioner's Office (ICO) draft guidance on anonymisation, pseudonymisation and privacy enhancing technologies. As part of this, please ensure files do not contain any information from which people could be readily identified e.g. names, dates of birth, addresses, email addresses, NHS numbers.
2. Snapshot format
Each row in a data file for a measure (questionnaire) corresponds to a young person, a young person’s period of contact, or a young person’s referral. Responses to the measure at time point 1 and time point 2 are on the same row. Data files and data codes follow the CORC Snapshot data specification. Template data files for common measures can be downloaded here.
Although the Snapshot data specification contains a wide range of variables (columns), you only need to include the data that you would like to be analysed. For example, if you do not need your results to be broken down by type of therapy/support, these variables can be left blank.
3. CORC+ format
Each row in a data file for a measure (questionnaire) corresponds to the measure being completed on one occasion. Responses to the measure at different time points are on different rows. Data files follow the CORC+ data specification and data codes follow the CORC+ variable definition document.
Although the CORC+ data specifications contain a wide range of variables (columns), you only need to include the data that you would like to be analysed. For example, if you do not need your results to be broken down by type of therapy/support, these variables can be left blank.