Omeka+Neatline Metadata Survey
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Omeka+Neatline Metadata Survey

 
As part of our collaboration on Omeka + Neatline, the Scholars' Lab and Omeka development teams are seeking your assistance to help make our projects more useful across many scholarly disciplines--including beyond the humanities and cultural heritage fields in which they originated. We've developed a short survey asking questions about new data types that Omeka+Neatline could display and metadata formats that it might import and describe.

While Omeka + Neatline can handle many metadata standards and formats familiar to humanities scholars, archivists, and museum professionals--such as Encoded Archival Description schema (EAD), Text Encoding Initiative schema (TEI), Dublin Core (DC) and Visual Resources Association Core (VRA Core)--it is also possible to import simple CSV files or any flat XML format, with potential to handle other formats more applicable to your field's standards.

We'd like to hear about other specific standards and formats that could make Omeka + Neatline more helpful to your research and scholarship.

Thank you for taking a few minutes to answer our survey!
1. In what discipline(s) is your audience for your data/research?
2. In what format(s) does your discipline typically publish or present data/research for others?
3. How do you usually share or display your data?
4. In what format is your data when you're ready to present or share it?
5. In what format is your metadata when you're ready to present or share it?
6. What metadata standards are important in your discipline?
7. What metadata formats appear to be emerging in your discipline for publishing or presenting data/research?
8. Are you required by your funding agency to create a data management plan?
9. If you answered Yes to question #4, does your data management plan include information about the metadata standard and the format/serialization of it in your dataset?
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