To develop a robust XML-based schema for qualitative data exchange (compliant with DDI) and encourage tools development based upon these needs. (This purpose statement taken directly from DDI Qualitative Working Group)
The relevant set of elements to enable the description of qualitative data objects. This may include any non-numeric data types (rich text, audio/visual, etc.) as well as a description of the relevant processes that have been performed on these objects (utilising the appropriate objects from the Process package/view).
Additional note from Achim, 22/8/2014: This package should also enable description by data records for qualitative segments and other objects like new data sources. This is basically a general description method for semantically not well known or well defined objects (at design time of DDI 4). This topic includes a focus on the draft model on qualitative data in terms of identifying objects which are already covered by the quantitative model, which can be described by data records, and which are necessary in a dedicated qualitative package.
DDI is positioned to respond to NSF citation needs (see body of user story) and will provide a logical place to record the needed citation information during a project's workflow. We should ensure that we have the necessary elements to record this enhanced citation in the object library and that any relevant views include that capability.
This would cross several views - for example Discovery, Classification, Methodology, and Complex Instrument, places where contribution to a published or reusable product (an instrument, a dataset, a study, etc) could be recorded. The work would include the specification of objects as well as the development of controlled vocabularies (e.g. for contributor role).
This document describes all the elements that might be used to record information on the beginning phases of a research study, such as an analysis plan, sampling method, weighting strategies, funding information, and infrastructure requirements, which can be combined into a Data Management Plan.
This view describes the activities involved in the analysis of final data products produced from data collection, and the dissemination of the findings of that analysis to the relevant user community.
This includes describes the implementation of analytical procedures applied to data files for the purposes of answering research questions or business needs specified in the study inception. The design of these procedures is specified in the project methodology.