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Data Curation & Management Toolkit: Standards, Guidelines, Best Practices

This guide is a brief introduction to Data Curation and the HKUST Data Management Services

Standards, Guidelines, Best Practices

Metadata Standards

To facilitate preservation and long-term access to archived data collections, you must create data documentation and associated metadata.

Metadata standards…

  • Facilitate interoperability of data collections.
  • Standardize ways to organize data, provide background information and show methods of use.
  • Help data citation, discovery, and reuse.

Different disciplines have different metadata standards, Researchers can choose the standards that meet their needs. Digital Curation Centre from the UK has maintained lists of metadata standards, profiles, and extensions, cases and tools covering these areas:

Research Data Management Guidelines

Organizations and institutions have provided valuable guidelines for research data management, e.g.:

Research Data Management Best Practices

Research Integrity Resources

  •  This portal gathers policies, guidelines and training information on research integrity and ethics at HKUST.

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