Home > Uncategorized > Needs for Data Management & Citation Throughout the Information Lifecycle

Needs for Data Management & Citation Throughout the Information Lifecycle

I was pleased to participate in the Niso Forum on Tracking it Back to the Source: Managing and Citing Research Data. 

A principled approach to data management involves modeling information through the lifecycle to assess stakeholder requirements at each stage, and then tracking management, use and impact of that information.

One of the complexities that lifecycle modeling reveals is the variety of different goals that are associated with data management – including orchestrating data for current use; protecting against disclosure; complying with contracts, regulation, law and policy; maximizing the overall value of held information assets; and ensuring short and long-term dissemination.

The most challenging aspects of data management are often associated with management across stages and among different actors. A number of tools and methods provide leverage, including:

  • Identifier systems – identification of information objects and actors, and structured use of these identifiers (identifiers, references, citations).
  • Metadata and tools (such as RCS or VCS) for tracking provenance — the relationship of delivered data to the history of inputs and modifications, and the actors responsible for these.
  • Systems and methods for validating authenticity and chain of custody — assertions about the provenance and ownership (respectively) of information.
  • Systems and methods for auditing — verification of asserted system properties, and policy compliance

The presentation further examines data management and data citation from an information lifecycle approach:

You may also be interested in the other presentations from the workshop, which will soon be posted on the NISO Forum website.

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