Difference between revisions of "Workflow:Assessing information"
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(A workflow that is undertaken by repositories for all datasets to ensure relevance and understandability of data and metadata based on defined criteria.) |
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A member of staff runs through a checklist to ensure that: | A member of staff runs through a checklist to ensure that: | ||
− | + | * The dataset confirms to the collection policy of the repository | |
− | + | * Data deposit contains no malware (all files). | |
− | + | * Digital objects are in correct formats (all files). | |
− | + | * Data deposit has collection-level metadata. | |
− | + | * All digital objects have core descriptive metadata (all files). | |
− | + | * Digital objects have additional technical metadata (all files). | |
− | + | * Digital objects can be opened, are valid, and can be reused (all files, representative sample for large datasets) . | |
− | + | * The data deposit has no sensitive data concerns (all files, representative sample for large datasets). | |
− | + | * Content is appropriate and complete (all files, representative sample for large datasets). | |
− | + | * The dataset is structured in a manner which is clear for the purposes of reusing data. | |
==Purpose, Context and Content== | ==Purpose, Context and Content== |
Revision as of 11:20, 5 October 2023
Workflow Description
A member of staff runs through a checklist to ensure that:
- The dataset confirms to the collection policy of the repository
- Data deposit contains no malware (all files).
- Digital objects are in correct formats (all files).
- Data deposit has collection-level metadata.
- All digital objects have core descriptive metadata (all files).
- Digital objects have additional technical metadata (all files).
- Digital objects can be opened, are valid, and can be reused (all files, representative sample for large datasets) .
- The data deposit has no sensitive data concerns (all files, representative sample for large datasets).
- Content is appropriate and complete (all files, representative sample for large datasets).
- The dataset is structured in a manner which is clear for the purposes of reusing data.
Purpose, Context and Content
Within the SEADDA consortium, workflows for dealing with assessing information were examined from three long standing digital repositories for archaeological data: the Archaeology Data Station of Data Archiving and Networked Services (DANS), the Swedish National Data Service (SND), and the Archaeology Data Service (ADS).
Evaluation/Review
Further Information
https://docs.google.com/document/d/1mAL20vvhZnYkZuc_60awac5wc-kiaBzYZ_AJahS_nkM/edit?usp=sharing
172.104.134.96 11:19, 5 October 2023 (UTC)