Data

The Data section gives you access to the files and folders stored in the project as well as those linked to the project. Here, you can perform searches and data management operations such as moving, copying, deleting and (un)archiving.

Recommended Practices

File/Folder Naming

ICA supports UTF-8 characters in file and folder names for data. Please follow the guidelines detailed below. (For more information about recommended approaches to file naming that can be applicable across platforms, please refer to the AWS S3 documentation.)

Data Formats

See the list of supported Data Formats

Data Privacy

Data privacy should be carefully considered when adding data in ICA, either through storage configurations (ie, AWS S3) or ICA data upload. Be aware that when adding data from cloud storage providers by creating a storage configuration, ICA will provide access to the data. Ensure the storage configuration source settings are correct and ensure uploads do not include unintended data in order to avoid unintentional privacy breaches. More guidance can be found in the ICA Security and Compliance section.

Data Integrity

See Data Integrity

Data Management

Viewing Data

On the Projects > your_project > Data page, you can view file information and preview files.

To view file details click on the filename to see the file details.

• Run input tags identify the last 100 pipelines which used this file as input.

• Connector tags indicate if the file was added via browser upload or connector.

To view file contents, select the checkbox at the begining of the line and then select View from the top menu. Alternatively, you can first click on the filename to see the details and then click view to preview the file.

When you share the data view by sharing the link from your browser, filters and sorting is retained in links, so the reciepient will see the same data and order.

To see the ongoing actions (copying from, copying to, moving from, moving to) on data in the data overview (Projects > your_project > Data), add the ongoing actions column from the column list. This contains a list of ongoing actions sorted by when they were created. You can also consult the data detail view for ongoing actions by clicking on the data in the overview. When clicking on an ongoing action itself, the data job details of the most recent created data job are shown.

For folders, the list of ongoing actions is displayed on top left of the folder details. When clicking the list, the data job details are shown of the most recent created data job of all actions.

Secondary Data

When Secondary Data is added to a data record, those secondary data records are mounted in the same parent folder path as the primary data file when the primary data file is provided as an input to a pipeline. Secondary data is intended to work with the CWL secondaryFiles feature. This is commonly used with genomic data such as BAM files with companion BAM index files (refer to https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial6/ for an example).

Hyperlinking to Data

To hyperlink to data, use the following syntax:

https://<ServerURL>/ica/link/project/<ProjectID>/data/<FolderID>

https://<ServerURL>/ica/link/project/<ProjectID>/analysis/<AnalysisID>

Uploading Data

Uploading data to the platform makes it available for consumption by analysis workflows and tools.

UI Upload

To upload data manually via the drag-and-drop interface in the platform UI, go to Projects > your_project > Data and either

• Drag a file from your system into the Choose a file or drag it here box.

• Select the Choose a file or drag it here box, and then choose a file. Select Open to upload the file.

Your files are added to the Data page with status partial during upload and become available when upload completes.

Upload Data via CLI

For instructions on uploading/downloading data via CLI, see CLI Data Transfer.

Copying Data

You can copy data from the same project to a different folder or from another project to which you have access.

In order to copy data, the following rights must be assigned to the person copying the data:

The following restrictions apply when copying data:

To use data copy:

1. Go to the destination project for your data copy and proceed to Projects > your_project > Data > Manage > Copy From.

2. Optionally, use the filters (Type, Name, Status, Format or additional filters) to filter out the data or search with the search box.

3. Select the data (individual files or folders with data) you want to copy.

4. Select any meta data which you want to keep with the copied data (user tags, technical system tags or instrument information).

5. Select which action to take if the data already exists (overwrite exsiting data, don't copy or keep both the original and the new copy by appending a number to the copied data).

6. Select Copy Data to copy the data to your project. You can see the progress in Projects > your_project > Activity > Batch Jobs and if your browser permits it, a pop-up message will be displayed whan the copy process completes.

The outcome can be

• INITIALIZED

• WAITING_FOR_RESOURCES

• RUNNING

• STOPPED - When choosing to stop the batch job.

• SUCCEEDED - All files and folders are copied.

• PARTIALLY_SUCCEEDED - Some files and folders could be copied, but not all. Partially succeeded will typically occur when files were being modified or unavailable while the copy process was running.

• FAILED - None of the files and folders could be copied.

To see the ongoing actions on data in the data overview (Projects > your_project > Data), you can add the ongoing actions column from the column list with the three column symbol at the top right, next to the filter funnel. You can also consult the data detail view for ongoing actions by clicking on the data in the overview.

There is a difference in copy type behavior between copying files and folders. The behavior is designed for files and it is best practice to not copy folders if there already is a folder with the same name in the destination location.

Move Data

You can move data both within a project and between different projects to which you have access. If you allow notifications from your browser, a pop-up will appear when the move is completed.

• Move From is used when you are in the destination location.

• Move To is used when you are in the source location. Before moving the data, pre-checks are performed to verify that the data can be moved and no currently running operations are being performed on the folder. Conflicting jobs and missing permissions will be reported. Once the move has started, no other operation should be performed on the data being moved to avoid potential data loss or duplication. Adding or (un)archiving files during the move may result in duplicate folders and files with different identifiers. If this happens, you will need to manually delete the duplicate files and move the files which were skipped during the initial move.

There are a number of rights and restrictions related to data move as this will delete the data in the source location.

Move Data From

Move Data From is used when you are in the destination location.

1. Navigate to Projects > your_project > Data > your_destination_location > Manage > Move From.

2. Select the files and folders which you want to move.

3. Select the Move button. Moving large amounts of data can take considerable time. You can monitor the progress at Projects > your_project > Activity > Batch Jobs.

Move Data To

Move Data To is used when you are in the source location. You will need to select the data you want to move from to current location and the destination to move it to.

1. Navigate to Projects > your_project > Data > your_source_location.

2. Select the files and folders which you want to move.

3. Select to Projects > your_project > Data > your_source_location > Manage > Move To.

4. Select your target project and location.

   1. Note: You can create a new folder to move data to by filling in the "New folder name (optional)" field. This does NOT rename an existing folder. To rename an existing folder, please see File/Folder Naming.

5. Select the Move button. Moving large amounts of data can take considerable time. You can monitor the progress at Projects > your_project > Activity > Batch Jobs.

Move Status

• INITIALIZED

• WAITING_FOR_RESOURCES

• RUNNING

• STOPPED - When choosing to stop the batch job.

• SUCCEEDED - All files and folders are moved.

• PARTIALLY_SUCCEEDED - Some files and folders could be moved, but not all. Partially succeeded will typically occur when files were being modified or unavailable while the move process was running.

• FAILED - None of the files and folders could be moved.

To see the ongoing actions on data in the data overview (Projects > your_project > Data), you can add the ongoing actions column from the column list with the three column symbol at the top right, next to the filter funnel. You can also consult the data detail view for ongoing actions by clicking on the data in the overview.

Download Data

Single files can be downloaded directly from within the UI.

• Select the checkbox next to the file which you want to download, followed by Download > Select Browser Download > Download.

• You can also download files from their details screen. Click on the file name and select Download at the bottom of the screen. Depending on the size of your file, it may take some time to load the file contents.

Schedule for Download

You can trigger an asynchronous download via service connector using the Schedule for Download button with one or more files selected.

1. Select a file or files to download.

2. Select Download > Schedule download (for files or folders). This will display a list of all available connectors.

3. Select a connector and optionally, enter your email address if you want to be notified of download completion, and then select Download.

You can view the progress of the download or stop the download on the Activity page for the project.

Export Project Data Information

The data records contained in a project can be exported in CSV, JSON, and excel format.

1. Select one or more files to export.

2. Select Export.

3. Select the following export options:

   • To export only the selected file, select the Selected rows as the Rows to export option. To export all files on the page, select Current page.

   • To export only the columns present for the file, select the Visible columns as the Columns to export option.

4. Select the export format.

Archiving and Deleting files

To manually archive or delete files, do as follows:

1. Select the checkbox next to the file or files to delete or archive.

2. Select Manage, and then select one of the following options:

   • Archive — Move the file or files to long-term storage (event code ICA_DATA_110).

   • Unarchive — Return the file or files from long-term storage. Unarchiving can take up to 48 hours, regardless of file size. Unarchived files can be used in analysis (event code ICA_DATA_114).

   • Delete — Remove the file completely (event code ICA_DATA_106).

When attempting concurrent archiving or unarchiving of the same file, a message will inform you to wait for the currently running (un)archiving to finish first.

To archive or delete files programmatically, you can use ICA's API endpoints:

1. GET the file's information.

2. Modify the dates of the file to be deleted/archived.

3. PUT the updated information back in ICA.

import requests
import json

from config import PROJECT_ID, DATA_ID, API_KEY

url_get="https://ica.illumina.com/ica/rest/api/projects/" + PROJECT_ID + "/data/" + DATA_ID

# set the API get headers
headers = {
            'X-API-Key': API_KEY,
            'accept': 'application/vnd.illumina.v3+json'
            }

# set the API put headers
headers_put = {
            'X-API-Key': API_KEY,
            'accept': 'application/vnd.illumina.v3+json',
            'Content-Type': 'application/vnd.illumina.v3+json'
            }

# Helper function to insert willBeArchivedAt after field named 'region'
def insert_after_region(details_dict, timestamp):
    new_dict = {}
    for k, v in details_dict.items():
        new_dict[k] = v
        if k == 'region':
            new_dict['willBeArchivedAt'] = timestamp
    if 'willBeArchivedAt' in details_dict:
        new_dict['willBeArchivedAt'] = timestamp
    return new_dict

# 1. Make the GET request
response = requests.get(url_get, headers=headers)
response_data = response.json()

# 2. Modify the JSON data
timestamp = "2024-01-26T12:00:04Z"  # Replace with the provided timestamp
response_data['data']['details'] = insert_after_region(response_data['data']['details'], timestamp)

# 3. Make the PUT request
put_response = requests.put(url_get, data=json.dumps(response_data), headers=headers_put)
print(put_response.status_code)

Link Project Data

Linking a folder creates a dynamic read-only view of the source data. You can use this to get access to data without running the risk of modifying the source material and to share data between projects. In addition, linking ensures changes to the source data are immediately visible and no additional storage is required.

You can recognise linked data by the green color and see the owning project as part of the details.

Since this is read-only access, you cannot perform actions on linked data that need to write access. Actions like (un)archiving, linking, creating, deleting, adding or moving data and folders, and copying data into the linked data are not possible.

You can perform analysis on data from other projects by linking data from that project.

1. Select Projects > your_project > Data > Manage, and then select Link.

2. To view data by project, select the funnel symbol, and then select Owning Project. If you only know which project the data is linked to, you can choose to filter on linked projects.

3. Select the checkbox next to the file or files to add.

4. Select Select Data.

Your files are added to the Data page. To view the linked data file, select Add filter, and then select Links.

Linking Folders

If you link a folder instead of individual files, a warning is displayed indicating that, depending on the size of the folder, linking may take considerable time. The linking process will run in the background and the progress can be monitored on the Projects > your_project > activity > Batch Jobs screen.

To see more details, double-click the batch job.

To see how many individual files are already linked, double-click the item.

Unlinking Project Data

To unlink the data, go to the root level of your project and select the linked folder or if you have linked individual files separately, then you can select those linked files (limited to 100 at a time) and select Manage > Unlink. As during linking a folder, when unlinking, the progress can be monitored at Projects > your_project > activity > Batch Jobs.

Non-indexed Folders

Non-indexed folders () are designed for optimal performance in situations where no file actions are needed. They serve as fast storage in situations like temporary analysis file storage where you don't need access or searches via the GUI to individual files or subfolders within the folder. Think of a non-indexed folder as a data container. You can access the container which contains all the data, but you can not access the individual data files within the container from the GUI. As non-indexed folders contain data, they count towards your total project storage.

The GUI considers non-indexed folders as a single object. You can access the contents from a non-indexed folder

• as Analysis input/output

• in Bench

• via the API