A Capability Maturity Model for Research Data Management

Changes for document 3.2 Ability to Perform

Last modified by Arden Kirkland on 2014/06/06 12:56
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26 26 == 3.2.3 Develop strategies for generating metadata based on community practices ==
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28 -Metadata descriptions may be created for a collection of data, the study that generated the collection of data, or individual data sets and files. For computationally intensive research fields such as astrophysics, metadata may be captured automatically for data files and datasets, but in field and experimental research fields such as ecology and geodynamics, a large amount of human intervention has to go into the metadata creation process. A best practice for generating metadata is to leverage existing documentation practices within a community of researchers ([[Riley, 2014>>||anchor="Riley"]]).
28 +Metadata descriptions may be created for a collection of data, the study that generated the collection of data, or individual data sets and files. For computationally-intensive research fields such as astrophysics, much of the required metadata may be captured automatically for data files and datasets, but in field and experimental research fields such as ecology and geodynamics, a large amount of human intervention has to go into the metadata creation process. A best practice for generating metadata is to leverage existing documentation practices within a community of researchers ([[Riley, 2014>>||anchor="Riley"]]).
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30 30 One strategy for generating metadata to facilitate discovery and long-term preservation is to rely on researchers to perform this activity themselves. Thus far this approach has had limited success ([[Tenopir, 2011>>||anchor="Tenopir"]]), and has inhibited the deposit of data in repositories with useful metadata ([[Riley, 2014>>||anchor="Riley"]]). This is often a default approach for generating metadata due to limited resources.
31 31 \\There are efforts to automate the generation of metadata via software tools, though this capability is not fully realized for most research communities. An example of an ability to perform issue is ensuring flexible data services for virtual datasets ([[DataONE, 2011>>||anchor="DataONE"]]).

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