The sprint will focus on Release 3, which is currently proposed to include the components described below. These will be confirmed and further developed through consultation currently under way with the user community. There will also be further work done on the production framework.

More information on the status of the modeling effort is available at lion.ddialliance.org/.

Complex Data Description Functional View. This will build on the Simple Data Description model, supplementing it with elements and attributes necessary to document more complex data collections, for example, longitudinal data, time series.

Enhanced Citation. This will introduce and formalize the structure for different (non-annotation) description types: attribution (citation), sourcing, and characterization. These would be available to all versionable objects. This is needed to support the description of new forms of data capture such as medical instruments and tests as well as provide clear provenance at the object level.

Complex Instrument Functional View. This will build on the Simple Instrument, adding new functionality to cover methods of data capture beyond simple surveys.

Simple Codebook Functional View. This will involve a merging of elements related to Discovery, Simple Data Description, and Simple Instrument.

Methodology. This complex area will be modeled to the extent possible during the week. The intent is to scope this area before the May 2015 Sprint so that the parameters of Methodology are well understood by Sprint participants. The work will describe the study design specifications underlying the conduct of a research/business project. This is distinct from the execution of the design – which is captured elsewhere (in Data Collection, Fieldwork, Data Processing and Data Analysis) – but should be able to be related to the execution in the conduct of the study. There are a variety of possible areas to cover such as study inception, data management planning, survey development, sampling, weighting, estimation, imputation, etc.

Production Framework. Features identified in previous sprints, but not yet implemented, will be added to the Production Framework for all of the DDI 4 work outputs. Further, changes suggested during the Q1 and Q2 reviews will be implemented.

Location maps and travel information

Meeting Agenda

Summary Report

Parking Lot

Production pipeline tool in Atlassian product instead of Drupal
Process vs Methodology - Upper Model (Jay)
What does lifecycle mean?
What is the definition of a view (i.e. are associations to eternal classes involved in the view? How about properties? Can we "restrict" them?)
Production Team: Persisting one-level inheritance from abstract classes into PSM? (Oliver)
Revision of Process Model
DocBook vs. other formats for PDF (for documentation output?)
Representation vs. datatype in model - consistency issues

PARTICIPANTS

No	First Name	Last Name	Institution	Email
1	Anita	Rocha	University of Washington	alrocha@u.washington.edu
2	Arofan	Gregory	Open Data Foundation	arofan.gregory@earthlink.net
3	Barry	Radler	MIDUS - University of Wisconsin-Madison	bradler@wisc.edu
4	Dan	Smith	Colectica	dan@colectica.com
5	Daniel	Gillman	U.S. Bureau of Labor Statistics	gillman.daniel@bls.gov
6	Flavio	Rizzolo	Statistics Canada	flavio.rizzolo@statcan.gc.ca
7	Jay	Greenfield	Booz Allan Hamilton (BAH)	greenfield_jay@bah.com
8	Jeremy	Iverson	Colectica	jeremy@colectica.com
9	Joachim	Wackerow	GESIS - Leibniz Institute for the Social Sciences	joachim.wackerow@gesis.org
10	Johan	Fihn	Swedish National Data Archive (SND)	johan.fihn@snd.gu.se
11	Johanna	Vompras	University Library Bielefeld	johanna.vompras@uni-bielefeld.de
12	Larry	Hoyle	University of Kansas	larryhoyle@ku.edu
13	Marcel	Hebing	German Socio-Economic Panel Study (SOEP), German Institute for Econmic Research	mhebing@diw.de
14	Michelle	Edwards	CEISER	ame87@cornell.edu
15	Oliver	Hopt	GESIS - Leibniz Institute for the Social Sciences	oliver.hopt@gesis.org
16	Olof	Olsson	Swedish National Data Archive (SND)	olof.olsson@snd.gu.se
17	Simon	Lloyd	Australian Bureau of Statistics	simon.lloyd@abs.gov.au
18	Steve	McEachern	Australian Data Archive at ANU	steven.mceachern@anu.edu.au
19	Wendy	Thomas	Minnesota Population Center (MPC)	wlt@umn.edu
20	Anders	Swendsrud	Minnesota Population Center (MPC)	aswendsr@umn.edu

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