A Capability Maturity Model for Research Data Management
CMM for RDM » 2. Data acquisition, processing and quality assurance
Last modified by Arden Kirkland on 2014/05/11 15:33
From version 35.2
edited by crowston
on 2013/11/08 09:39
To version 36.1
edited by Arden Kirkland
on 2014/03/11 13:48
Change comment: added "overall" to goal at top

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XWiki.cArowstodenKirkland

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1 1 = 2. Data acquisition, processing and quality assurance =
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3 -//Goal: Reliably capture scientific data in a way that facilitates use, preservation and reuse.//
3 +//Overall Goal: Reliably capture scientific data in a way that facilitates use, preservation and reuse.//
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5 5 The first stage in the data lifecycle is to collect the data along with data documentation. Data collection is the process of capturing observations of the world—physical, biological, behavioural or social—in a form that can be used for analysis. Observations are of some property or properties (e.g., presence or absence, mass, behaviour, attitude) of one or more units of observation (e.g., an organism, sample, group or organization). Data documentation means the description created by the scientist of how the data were collected (e.g., conditions, parameters, techniques, etc.), the initial processing of the data and of the data themselves (e.g., formats, units, etc.). An important subgoal of this stage is to ensure the quality of the data and the data documentation as they are captured and processed.
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