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rdms:workflows:archiving [2025/08/21 10:36] – [Best Practices] burcu | rdms:workflows:archiving [2025/08/22 07:42] (current) – [Step 2: Check Data and copy to Project Archive] burcu | ||
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===== Steps of the Archiving Workflow ===== | ===== Steps of the Archiving Workflow ===== | ||
- | This section explains the Archiving workflow starting from an existing RDMS example project and walks you through the requirements to start the workflow, the different steps, and the roles active at each step. It will also elaborate more on the content of the created | + | This section explains the Archiving workflow starting from an existing RDMS example project and walks you through the requirements to start the workflow, the different steps, and the roles active at each step. It will also elaborate more on the content of the created data package. |
==== Prerequisites ==== | ==== Prerequisites ==== | ||
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**Notes: | **Notes: | ||
- | * To assign a user as project admin, select the 'own' | + | * To assign a user as Project Admin, select the **own** permission. Please note that the user needs elevated privileges; having |
* To assign a user role, the user needs to have at least ' | * To assign a user role, the user needs to have at least ' | ||
- | * The section about best practices | + | * The section about [[rdms: |
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---- | ---- | ||
- | To initialize the workflow via the data management | + | To initialize the workflow via the Data Management |
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{{ : | {{ : | ||
- | After clicking | + | After clicking |
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{{ : | {{ : | ||
- | If you select the //Append data// option, you will be able to add data to the archive. Selecting this option will also open a new window, where you will be guided through adding data. Use this option if the project admin did not add all the data necessary to the archive at the previous step.\\ | + | If you select the "Append data" |
- | After all data was added, you can click on the //Prepare data// option to get a view of the currently selected data in a new window. In this window, you can verify that the data that needs to be archived is correct and complete, but you can also remove data again. Additionally, | + | After all data was added, you can click on the "Prepare data" |
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\\ | \\ | ||
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- | Finally, once you are ready, click on the //Copy data to archive// option to move the archive draft to the next step. A window will open, where you can verify if the data was sent to **Archive** once again. If you decide to approve the data in this window, then the archiving workflow will start copying your data from the project space to the project' | + | Finally, once you are ready, click on the "Copy data to archive" |
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**Prerequisites**: | **Prerequisites**: | ||
- | In this step, the previously unbundled data that was moved to the project' | + | In this step, the previously unbundled data that was moved to the project' |
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- | This step should be a short one if the data is in order. It is mostly implemented to make sure that if there is more than one data manager, they have the ability to check what the other data managers did. If you did implement our suggestion of having one data manager with final say, then this step is where they get to do a last check. In this step, you have the option to //Preview data//, to //Create data package//, and to //Prepare data// (see screenshot below). | + | This step should be a short one if the data is in order. It is mostly implemented to make sure that if there is more than one data manager, they can check what the other data managers did. If you did implement our suggestion of having one data manager with final say, then this step is where they get to do a last check. In this step, you have the option to "Preview data", to "Create data package", and to "Prepare data" |
{{ : | {{ : | ||
- | If you select | + | If you select |
{{ : | {{ : | ||
- | If you select the //Create data package// option in the menu, the RDMS system will automatically bundle the previously unbundled data into a tar archive. Afterwards, the next step (adding metadata to the data package) can follow. | + | If you select the "Create data package" |
{{ : | {{ : | ||
- | **Notes**: As mentioned above, you cannot directly add more data via the workflows page in this step. If you or another data manager sees that wrong data was selected or that data is missing, then you have to select the //Prepare data// option, which will move the workflow back to the previous step. There, you can adjust the content of the archive draft before moving it back to the current step. | + | **Note**: As mentioned above, you cannot directly add more data via the workflows page in this step. If you or another data manager sees that wrong data was selected or that data is missing, then you have to select the "Prepare data" |
</ | </ | ||
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While the RDMS in general allows the user to add metadata with or without a metadata template, the archiving workflow only allows adding metadata via templates. This is done to help standardize the metadata for archived projects and, therefore, make them better findable. Templates can be created by users and also shared with others. If there is no suitable metadata template present, you will therefore have to create one, as described in the [[rdms: | While the RDMS in general allows the user to add metadata with or without a metadata template, the archiving workflow only allows adding metadata via templates. This is done to help standardize the metadata for archived projects and, therefore, make them better findable. Templates can be created by users and also shared with others. If there is no suitable metadata template present, you will therefore have to create one, as described in the [[rdms: | ||
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- | As in previous steps, the three-dot menu holds all the actions you can perform at this stage. They are, in order, | + | As in previous steps, the three-dot menu holds all the actions you can perform at this stage. They are, in order, |
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- | If you select | + | If you select |
{{ : | {{ : | ||
- | If you have already generated a DOI for the dataset, then you can use the //Add DOI// menu button to insert the existing DOI into the metadata of the archive. You can also add a DOI linked to a related publication in this stage of the archiving workflow. The RDMS will check the DOI and will verify its validity. Please note that the correct format of the DOI to be specified is '' | + | If you have already generated a DOI for the dataset, then you can use the "Add DOI" |
{{ : | {{ : | ||
- | The last option in the menu we have not yet addressed is //Approve metadata//. This action is **available only to the metadata manager**. If you or other metadata managers have checked that the metadata has been filled in properly, then you can press the button | + | The last option in the menu we have not yet addressed is "Approve metadata". This action is **available only to the metadata manager**. If you or other metadata managers have checked that the metadata has been filled in properly, then you can press the button |
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- | At this stage of the archiving workflow, you have two options left as the data manager. You can either push the archive draft back to the add/confirm metadata stage by pressing | + | At this stage of the archiving workflow, you have two options left as the data manager. You can either push the archive draft back to the add/confirm metadata stage by pressing |
{{ : | {{ : | ||
- | Pressing | + | Pressing |
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===== The Data Package and its Content ===== | ===== The Data Package and its Content ===== | ||
- | At the end of the archiving workflow, you will have created a **data package**. In the RDMS, we use this term to identify a data set with a specific structure that resulted from the archiving workflow. In this section, we will have a more detailed look at the data package and explain its internal structure. | + | At the end of the archiving workflow, you will have created a data package. In the RDMS, we use this term to identify a data set with a specific structure that resulted from the archiving workflow. In this section, we will have a more detailed look at the data package and explain its internal structure. |
In general, the following applies: | In general, the following applies: | ||
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===== Best Practices ===== | ===== Best Practices ===== | ||
- | This section provides recommendations on how to assign roles within a project | + | This section provides recommendations on how to assign roles within a project to distribute the tasks of the Archiving workflow efficiently among project participants. It also highlights best practices specific to the project archiving process. |
In general, roles can be assigned as follows: | In general, roles can be assigned as follows: | ||
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* **Metadata Manager**: The Metadata Manager is responsible for verifying that the metadata associated with the archive is accurate and complete. | * **Metadata Manager**: The Metadata Manager is responsible for verifying that the metadata associated with the archive is accurate and complete. | ||
- | + | * Ideally, this role should be assigned to someone with knowledge of the data who was not directly involved in earlier steps of the workflow. | |
- | * Ideally, this role should be assigned to someone with knowledge of the data who was not directly involved in earlier steps of the workflow. | + | * If such a person is not available, a Data Manager may also serve as Metadata Manager. |
- | | + | * If there were multiple Data Managers in the earlier steps, we suggest assigning the Metadata Manager role to one who did not have final authority over the dataset. |
- | | + | * If your project or research group has dedicated data management staff, they are well-suited for this role. |
- | | + | |
As noted above, multiple roles can be assigned to the same user. If a user is both a data and metadata manager, then the whole workflow, except for the initialization, | As noted above, multiple roles can be assigned to the same user. If a user is both a data and metadata manager, then the whole workflow, except for the initialization, | ||