For the content analysis, job responsibilities
not closely associated with data
activities were excluded to provide a
focused justification. The concept of
data life cycle is becoming more and
more important for social science data
professionals when we realized that the
implementation of research data documentation
and the consideration of data
preservation cannot simply be wrapped
up at the very end of a research project;
rather, they are ongoing processes that
need to be started even before research
data are collected and should be incorporated
into every stage of the research
cycle. We synthesized the data life cycle
model for DDI’s metadata schema and
the data life cycle model developed by
ICPSR to advise on the best practices of
social science research data preparation
and archiving. “Data Management Plan”
is considered to be the first stage of data
life cycle based on ICPSR’s recognition of
its increasing importance and the reality
of the funding agencies’ requirement
for a grant proposal. “Data Discovery”
is listed as the second stage, consistent
with DDI’s data life cycle model and the
long tradition of library services related
to information retrieval. “Data Collection,”
“Data Analysis,” “Data Sharing,”
and “Data Preservation” are defined
stages in both DDI and ICPSR models.
All data-related job responsibilities are
coded accordingly, and the frequencies
of each stage are summarized to show
the different concentrations of these
jobs with the ongoing data life cycle (see
table 16).
For the content analysis, job responsibilitiesnot closely associated with dataactivities were excluded to provide afocused justification. The concept ofdata life cycle is becoming more andmore important for social science dataprofessionals when we realized that theimplementation of research data documentationand the consideration of datapreservation cannot simply be wrappedup at the very end of a research project;rather, they are ongoing processes thatneed to be started even before researchdata are collected and should be incorporatedinto every stage of the researchcycle. We synthesized the data life cyclemodel for DDI’s metadata schema andthe data life cycle model developed byICPSR to advise on the best practices ofsocial science research data preparationand archiving. “Data Management Plan”is considered to be the first stage of datalife cycle based on ICPSR’s recognition ofits increasing importance and the realityof the funding agencies’ requirementfor a grant proposal. “Data Discovery”is listed as the second stage, consistentwith DDI’s data life cycle model and thelong tradition of library services relatedto information retrieval. “Data Collection,”“Data Analysis,” “Data Sharing,”and “Data Preservation” are definedstages in both DDI and ICPSR models.All data-related job responsibilities arecoded accordingly, and the frequenciesof each stage are summarized to showthe different concentrations of these
jobs with the ongoing data life cycle (see
table 16).
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