Uploading Data to SEAD

As a SEAD user, you can easily drag and drop or browse to your files to upload data to SEAD.

  1. To upload data to SEAD, select the “Create a Dataset” link which can be found in the dropdown menu under “Create” in the top navigation. A dataset can contain any number of files in any format and is the primary organizing structure for files in SEAD. Datasets can be further organized with folders and subfolders. Each dataset and file you upload to SEAD is given a unique, persistent URL that can be linked to directly.
    Create dataset
  2. Give your dataset a name and description. The description is optional but will be required if you submit the dataset for publication. You can also add a description any time later on the dataset’s page or during the publication process.
    Create dataset form
  3. By default, datasets are only accessible to the user who created them. As you create a dataset, you can choose to share it with a Project Space that you created or have access to by selecting the Project Space from the “Share with a Project Space” dropdown.
    Share dataset
    Note: you can share a dataset with a Project Space at any time after its creation by using the “Project Spaces containing the dataset” mechanism available on the dataset’s page.
    Share existing dataset
  4. Once you click on the “Create Dataset” button to complete the process of creating your dataset, you can begin uploading your files by either clicking on the “Select Files” button or by dragging and dropping files from your computer to anywhere on the page.
    Drag and drop files
  5. Once your files are listed on the page, click the “Upload” button to upload your files to the dataset. You can also upload each file separately by clicking on its “Start” button. Individual files can also be removed by selecting “Cancel” buttons. The “Cancel Upload” button can be used to cancel all files from being added to the dataset.
    Upload files
  6. Select the “View Dataset” button to open your dataset’s page where you can further organize the dataset with folders and subfolders, apply metadata at the dataset and individual file level, view type-specific previews of your files, assign tags and add comments, manage dataset access, and share or copy your dataset across Project Spaces.