Short descriptive name.

The code of the project which the dataset is assigned to.

Specified when this is a new version of a previous dataset. Otherwise null.

Specified when there is another dataset which is a new version of this one. Otherwise null. It is automatically set when the new version is released (i.e. "draft" flag changed to false). The new version is a dataset that have previousId referencing this one. Actually there can be more than one new versions in draft state, but only one can be released.

The unique id of the user wich created the dataset, it is not for showing but it can be useful to a possible new feature to show all datasets from an author.

The name of the user wich created the dataset.

The email of the user wich created the dataset. It will not be included if unregistered user for privacy reasons.

Long explanation of dataset details, statistics, links, references, improvements/modifications if it's a new version, etc.

Free text tags assignable to datasets for better organization and filtering. Tags can contain alphanumeric characters or '-', and with max length of 20.

Short text with the provenance of the data.

Short text with the intended purpose of the dataset.

Name and link to the license document.

Permanent IDs as links, to show the users how the dataset should be cited.

(Optional) Contact information of the responsible of the dataset, usually a name and email.

If true then the dataset is only visible and usable by the author, and some properties can be modified.

(This flag only appears when "draft" is true) If true then the dataset is still creating, and "draft" can not be changed to false until the end (it does not appear in "dataset.editablePropertiesByTheUser"). The progress can be retrieved with GET /datasets/{id}/creationStatus. If false then the creation process has finished and "draft" already can be changed to false when the user want to release de dataset.

If false then the dataset is only visible and usable to users in the project where the dataset is assigned. If true then the dataset is accessible and usable to all users and visible for non-registered users.

If true the dataset can not be used and only visible for the author. The UI should show a visible warning including the reason, which is in the property "invalidationReason".

(This property only appears and can be set when "invalidated" is true) When the user invalidates a dataset the UI should show a field to let the user specify the reason. It is recommended to show some predefined reasons like: "It is a discarded/useless draft", "It contains some rejected subject or study", "It contains corrupted data", "Other". And if "Other" is selected, let the user write the reason.

It is true when the integrity check has failed (files modified or even deleted). In that case, the dataset should be invalidated. You can see the date of the last check in "lastIntegrityCheck". The admin can see the details in the log of that date.

The last time the integrity of dataset has been checked calculating the hash and comparing with the original saved in Tracer. It is null in newly created datasets and while not checked. If the check fails, the flag "corrupted" will be true.

The properties that can be modified with PATCH operation by the current authenticated user in the current state of this dataset. The array will be empty if no properties can be modified. The UI can use this property to show which properties are editable.

The actions that the current authenticated user can do in the current state of this dataset. The actions are some operations apart from edit fields/flags which are already specified in the previous property "editablePropertiesByTheUser". So this property is intended for let the UI know which other actions to show apart from those related with flags, like "Release" (change the flag "public") or "Invalidate" (change the flag "invalidated"). Possible values are:

• use - To launch a workstation in the platform with access to this dataset, The k8s operator will be able to do a POST /datasetAccess/{id} for this user on this dataset.
• delete - To do a DELETE /datasets/{id}.
• checkIntegrity - To do a POST /datasets/{id}/checkIntegrity.
• restartCreation - To do a POST /datasets/{id}/restartCreation.
• readjustFilePermissions - To do a POST /datasets/{id}/readjustFilePermissions.
• recollectMetadata - To do a POST /datasets/{id}/recollectMetadata.
• viewAccessHistory - To do a GET /datasets/{id}/accessHistory
• manageACL - To do any operation in /datasets/{id}/acl and /datasets/{id}/acl/{username}

The number of studies contained in the dataset

The number of different subjects which are related with the studies contained in the dataset

[Miabis] Age of the youngest subject. Null if metadata still not collected or age data empty for all studies. Collected from Dicom tag (0010,1010) or from the subject clinical data (inclusion_criteria.age_at_diagnosis or .age_at_baseline).

[Miabis] Age of the oldest subject. Null if metadata still not collected or age data empty for all studies. Collected from Dicom tag (0010,1010) or from the subject clinical data (inclusion_criteria.age_at_diagnosis).

[Miabis] Array of two items: unit for ageLow, unit for ageHigh. Empty if metadata still not collected or age data empty for all studies.

The number of studies with unknown age data. Null if metadata still not collected.

[Miabis] Array of different sex values in the dataset. Empty if metadata still not collected. Collected from Dicom tag (0010,0040) or from the subject clinical data (patient_data.gender). Miabis standard defines the possible values: "Male", "Female", "Undifferentiated", "Unknown".

Array with the number of studies for each item of the previous 'sex' array. Empty if metadata still not collected.

Array of different diagnosis values in the dataset. Empty if metadata still not collected. Collected from Dicom tag (70D1,2000), private tag (project name) defined in CHAIMELEON. Possible values: "Prostate cancer", "Breast cancer", "Lung cancer", "Colon cancer", "Rectum cancer", "Unknown".

Array with the number of studies for each item of the previous 'diagnosis' array. Empty if metadata still not collected.

Array of different body parts in the dataset. Empty if metadata still not collected. Collected from Dicom tag (0018,0015). Dicom standard defines the posible values. Additionally the value 'Unknown' will be added at the end if there is any case with empty body part data.

Array with the number of studies for each item of the previous 'bodyPart' array. Empty if metadata still not collected.

Array of different image modalities in the dataset. Empty if metadata still not collected. Collected from Dicom tag (0008,0060). Dicom standard defines the posible values. Additionally the value 'Unknown' will be added at the end if there is any case with empty modality data.

Array with the number of studies for each item of the previous 'modality' array. Empty if metadata still not collected.

Array of different image equipment manufacturers in the dataset. Empty if metadata still not collected. Collected from Dicom tag (0008,0070) and harmonized. Additionally the value 'Unknown' will be added at the end if there is any case with empty manufacturer data.

Array with the number of studies for each item of the previous 'manufacturer' array. Empty if metadata still not collected.

The year of the oldest diagnosis. Null if metadata still not collected or year of diagnosis data empty for all studies. Collected from the subject clinical data (inclusion_criteria.baseline_date or .date_baseline_ct).

The year of the most recent diagnosis. Null if metadata still not collected or year of diagnosis data empty for all studies. Collected from the subject clinical data (inclusion_criteria.baseline_date).

The number of studies with unknown year of diagnosis. Null if metadata still not collected.

Array of different tags in series of the studies of the dataset.

The total size of files in all the studies and series selected for this dataset plus the eforms file. Null if metadata still not collected.