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Research Data Management

This guide contains resources for learning about best practices in research data management.

DMP Question 6

What metadata and/or data standards will you be using to describe your data?

Guidance

  • Some subjects have discipline-specific metadata standards which are used to consistently describe data.
  • Specify the metadata standards you will use and the reason.

Examples

If you are using a specific metadata scheme or standard (according to the specific disciplines), state what it is and provide the references.

  • NeXus is an international standard for the storage and exchange of neutron, x-ray, and muon experiment data.

If you are not using a specific metadata standard/schema, you can describe the type of metadata you will be providing. Common fields such as title, author, subject or keywords, technical metadata about formats, etc.

  • Metadata about timing and exposure of individual images will be automatically generated by the camera. GPS locations will subsequently be added by post-processing GPS track data based on shared time stamps.

If you will be depositing your dataset in SIT Institutional Research Repository, you will follow the set of metadata that is pre-designed in the repository.

  • SIT Institutional Research Repository metadata standards, i.e. using the repository's metadata forms.

If you will create readme file(s), you may describe the content for the readme files of your research data. Refer to the Guide to writing "readme" style metadata by Cornell University.

  • I will not be using any metadata or international standard for the data collected and generated for this project. However, I will ensure each document that I have created using the Microsoft Word, Microsoft Excel and Microsoft PowerPoint has sufficient basic information such as Author’s name, Title, Subject, Keywords and etc. in the document properties. In addition, a separate readme file will be prepared to describe the details of each individual data file. I will be applying the recommendations provided by Cornell University in the creation of readme file(s). Key elements could include: introductory information about the data, methodological, date-specific and sharing/access related information.