developing a generic process model for longitudinal data ......for longitudinal data collections...
TRANSCRIPT
3rd Annual European DDI Users Group Meeting (EDDI11)Gothenburg, December 5–6, 2011
Marcel HebingGerman Socio-Economic Panel Study (SOEP), DIW Berlin
and
William BlockCISER, Cornell University
present joined work with Ingo Barkow, Jay Greenfield,Arofan Gregory, Larry Hoyle, Wolfgang Zenk-Möltgen
from DDI Experts Workshop, Dagstuhl 2011
Developing a Generic Process Modelfor Longitudinal Data Collections
Experts-Workshop, Dagstuhl 2011
3 Working Groups
1. Foundational Metadata
2. How to
3. GLBPM
+ Glossary
Previous Work
Tornado Model (Dagstuhl 2010)
DDI Data Life Cycle
GSBPM
DDI Data Life Cycle
Tornado Model
GSBPMhttp://www.unece.org/stats/gsbpm.html
Mapping GLBPM against DDI Data Lifecycle
Generic Longitudinal Business Process Model
Business Processes are structured activities in the context of labor division, to increase
effectivity and efficiency.
A Business Process Model describes Business Processes in a way, that helps to discuss
them and adapt Software.
Generic means, that the model doesn't have to match exactly one case, but is designed to be
adaptable to many cases. The more precisely you get, the less cases will fit.
Longitudinal studies have specific needs, as you run most parts of the underlying business
process in each wave. The reuse of work from previous waves becomes important.
Generic Longitudinal Business Process Model
9 high level categories
broken down into 52 associated sub-elements.
This categorization may be useful to individuals or projects engaged three main activities:
Project Management or Quality Management,Metadata Management, Using External
Standard Metadata (classifications, concepts, questions, variables, etc.)
It's legal to re-arrange the elements and their sub-steps.
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
GLBPM: High Level View
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
GSBPM:
GLBPM:
Data Lifecycle:
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
2
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
3
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build/Rebuild
CollectProcess /Analyse
Archive /Preserve /
Curate
DataDissemination /
Discovery
Research /Publish
RetrospectiveEvaluation
1 2 3 4 5 6 7 8 9
1.1Define research
questions, universe & high-level concepts
1.2Evaluate existing
data & publications
1.3Establish outputs
& needed infrastructure
1.4Define specific concepts to be
measured
1.5Planning, time-table & needed infrastructure
1.6Prepare proposal
& get funding
2.5Specify processing / cleaning methods
2.3Design collection
instruments
2.4Specify data
elements
2.6Organize research
team
2.7Design
infrastructure
2.1Identify sources
2.2Design sampling
methods
3.5Finalize production
systems
3.3Validate
instruments
3.4Test production
systems
3.1Develop data
collection instruments
3.2Create or enhance
infrastructure components
4.3Run collection
4.4Finalize collection
4.1Select sample
4.2Set up collection
5.5Construct new
variables and units
5.3Explore, validate &
clean data
5.4Impute missing
data
5.6Calculate weights
5.7Calculate
aggregates
5.1Integrate data
5.2Classify & code
6.3Preserve data /
metadata
6.1Ingest data /
metadata
6.2Enhance metadata
7.5Provide data
citation support
7.3Deploy access control system /
policies
7.4Promote
dissemination products
7.6Enhance data
discovery
7.7Manage user
support
7.1Deploy release infrastructure
7.2Prepare
dissemination products
8.5Prepare research
papers
8.3Prepare data
8.4Analyse data
8.6Manage disclosure
risk
8.7Publish research
8.1Discovery of data
and relevant research
8.2Access data
9.3Conduct
evaluation
9.4Determine future
actions
9.1Establish
evaluation criteria
9.2Gather evaluation
inputs
5.8Anonymize data
5.9Finalize data
outputs
Project Management / Quality Management
Metadata Management
Use of External Standard Metadata (classifications, concepts, questions, variables)
Evaluate /Specify Needs
Design /Redesign
Build /Rebuild
Collect
Process /Analyse
Archive /Preserve /
Curate
DataDissemination/
Discovery
Research/Publish
RetrospectiveEvaluation
1
2
3
4
56
7
8
9
Stu
dy D
esig
n
Methodological
Report
InstrumentDocumentation
Raw
Data
& M
etadata
Pro
cess
ed D
ata
Physical
Data ProductsCitations &Publication
Assessm
ent Report
Circle View
Outlook
Match DDI elements to sub-steps.
Evaluate for existing longitudinal studies.
3rd Annual European DDI Users Group Meeting (EDDI11)Gothenburg, December 5–6, 2011
Marcel HebingGerman Socio-Economic Panel Study (SOEP), DIW Berlin
and
William BlockCISER, Cornell University
present joined work with Ingo Barkow, Jay Greenfield,Arofan Gregory, Larry Hoyle, Wolfgang Zenk-Möltgen
from DDI Experts Workshop, Dagstuhl 2011
Thank you.