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Workshop on Metadata Standards and Best Practices November 19-20 th, 2007 Session 4 The Data Documentation Initiative Technical Overview Pascal Heus Open.

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Presentation on theme: "Workshop on Metadata Standards and Best Practices November 19-20 th, 2007 Session 4 The Data Documentation Initiative Technical Overview Pascal Heus Open."— Presentation transcript:

1 Workshop on Metadata Standards and Best Practices November th, 2007 Session 4 The Data Documentation Initiative Technical Overview Pascal Heus Open Data Foundation

2 Open Data Foundation – IZA 2007/11 Outline XML refresher DDI Background DDI 1/2.x –Status / Tools DDI 3.0 –Use cases –Need for tools Conclusions / Q&A Thanks to the DDI Alliance and GESIS for slides on DDI

3 Data Foundation – IZA 2007/11 XML to the rescue! XML is driving todays web service oriented architecture of the Internet and Intranets Using XML, we can capture, structure, transform, discover, exchange, query, edit and secure metadata and data XML is platform & language independent and can be used by everyone XML is both machine and human readable XML is non-proprietary, public domain and many open tools exist Domain specific standards are available!

4 Data Foundation – IZA 2007/11 XML Technical Overview Capture XML Structure DTD XSchema Transform XSL, XSLT XSL-FO Discover Registries Databases Exchange Web Services SOAP REST Search XPath XQuery Manage Software XForms

5 Data Foundation – IZA 2007/11 What is DDI? The Data Documentation Initiative (DDI) is an XML format for capturing metadata about survey data and register data Data files may remain in their native formats (ASCII files which may be delimited or fixed-width) or may be captured as XML It used to be designed to describe codebooks, and was mainly useful for data archives and libraries –Versions 1.*/2.* Now, it can be used for any type of data collection –Version 3.0 –Focus on survey instrumentation and microdata, but also can describe aggregates

6 Data Foundation – IZA 2007/11 Background Concept of DDI and definition of needs grew out of the data archival community Established in 1995 as a grant funded project initiated and organized by ICPSR Members: –Social Science Data Archives (US, Canada, Europe) –Statistical data producers (including US Bureau of the Census, the US Bureau of Labor Statistics, Statistics Canada and Health Canada) February 2003 – Formation of DDI Alliance –Membership-based alliance –Formalized development procedures

7 Data Foundation – IZA 2007/11 Growth of the DDI Structure 2000 – DDI 1.0 –Simple survey –Archival data formats –Microdata only 2003 – DDI 2.0 –Aggregate data (based on matrix structure) –Added geographic material to aid geographic search systems and GIS users

8 Data Foundation – IZA 2007/11 Characteristics of DDI 1.0/2.0 Focuses on the static object of a codebook Designed for limited uses –End user data discovery via the variable or high level study identification (bibliographic) –Only heavily structured content relates to information used to drive statistical analysis Coverage is focused on single study, single data file, simple survey and aggregate data files Variable contains majority of information (question, categories, data typing, physical storage information, statistics)

9 Data Foundation – IZA 2007/11 1/2.x Schema Organized in 5 sections –docDsrc: information about the XML document itself: metadata preparation, version, –stdyDscr: detailed information about the survey Title, year, coverage, sampling, data collection/cleaning, quality, contact, access policy, –fileDscr: describes files in the dataset –dataDscr: describes the data structure Variable: name, label, code, summary statistics, definitions, literal question, interviewer instructions, weights, grouping, etc. Cubes: aggregated data –othMat: additional documentation See examples

10 Data Foundation – IZA 2007/11 Limitations Treated as an add on to the data collection process Focus is on the data end product and end users (static) Limited tools for creation or exploitation The variable must exist before metadata can be created Producers hesitant to take up DDI creation because it is a cost and does not support their development or collection process

11 Data Foundation – IZA 2007/11 Requirements for 3.0 Improve and expand the machine-actionable aspects of the DDI to support programming and software systems Support CAI instruments through expanded description of the questionnaire (content and question flow) Support the description of data series (longitudinal surveys, panel studies, recurring waves, etc.) Support comparison, in particular comparison by design but also comparison-after-the fact (harmonization) Improve support for describing complex data files (record and file linkages) Provide improved support for geographic content to facilitate linking to geographic files (shape files, boundary files, etc.)

12 Data Foundation – IZA 2007/11 Approach Shift from the codebook centric model of early versions of DDI to a lifecycle model –providing metadata support from data study conception through analysis and repurposing of data Shift from an XML Data Type Definition (DTD) to an XML Schema model –to support the lifecycle model, reuse of content and increased controls to support programming needs Redefine a single DDI instance to include a simple instance –similar to DDI 1.*/2.* which covered a single study and complex instances covering groups of related studies. –Allow a single study description to contain multiple data products (for example, a microdata file and aggregate products created from the same data collection). Incorporate the requested functionality in the first published edition

13 Data Foundation – IZA 2007/11 Designing to support registries Resource package –structure to publish non-study-specific materials for reuse Extracting specified types of information into schemes –Universe, Concept, Category, Code, Question, Instrument, Variable Allowing for either internal or external references Providing comparison mapping –Target can be external harmonized structure

14 Data Foundation – IZA 2007/11 Relationship to Other Standards Dublin Core –Mapping of citation elements –Option for DC namespace basic entry ISO – Geography –Search requirements –Support for GIS users METS –Designed to support profile development OAIS –Reference model for the archival lifecycle SDMX –Completely mapping to and from DDI NCubes –Designed to be used with registries ISO/IEC –Variable linking representation to concept and universe –Optional data element construct in ConceptualComponent that allows for complete ISO/IEC structure as a maintained item

15 Data Foundation – IZA 2007/11 Development of DDI – Acceptance of a new DDI paradigm –Lifecycle model –Shift from the codebook centric / variable centric model to capturing the lifecycle of data –Agreement on expanded areas of coverage 2005 –Presentation of schema structure –Focus on points of metadata creation and reuse 2006 –Presentation of first complete 3.0 model –Internal and public review 2007 –Vote to move to Candidate Version –Establishment of a set of use cases to test application and implementation 2008 –March: anticipated vote to publish DDI 3.0

16 Data Foundation – IZA 2007/11 XML Schemas and 3.0 Modules (one is not necessarily the other) XML Schemas –Each.xsd file is a xml schema –Some xml schemas are modules –Some xml schemas are substitution sets or sub-modules –Some xml schemas simply contain elements that are used by multiple schemas or may require more frequent updates –Some xml schemas are external

17 Data Foundation – IZA 2007/11 XML Schemas and 3.0 Modules (one is not necessarily the other) Modules –Reflect closely related sets of information similar to the sections of DDI 1.*/2.* DTD –Modules can be held as separate XML instances and be included in a large instance by either inclusion or reference –All modules are maintainable, identifiable packages –Each module has its own XML namespace

18 Data Foundation – IZA 2007/11 XML SCHEMAS archive comparative conceptualcomponent datacollection dataset dcelements DDIprofile ddi-xhtml11 ddi-xhtml11-model-1 ddi-xhtml11-modules-1 group inline_ncube_recordlayout instance logicalproduct ncube_recordlayout organization physicaldataproduct physicalinstance reusable simpledc studyunit tabular_ncube_recordlayout xml set of xml schemas to support xhtml

19 Data Foundation – IZA 2007/11 Basic Structure/Organization DDI 3.0 is divided into modules Each contains a set of related metadata Reusable metadata is divided into schemes Modules reflect the steps of the data lifecycle

20 Data Foundation – IZA 2007/11 DDI 3.0 Modules Main modules are: –Study Unit (contains a simple study description) –Conceptual Component –Data Collection (survey instruments, questions, sources) –Logical Product (concepts, variables, codes, categories) –Physical Storage (describes patterns of storage and physical instances/files) –Archive (organizations and processing events) –Group (comparing and grouping study units) –Comparative (allows for explicit comparisons between grouped studies) See also descriptions.html descriptions.html

21 Data Foundation – IZA 2007/11 Maintainable Schemes (thats with an e not an a) Concept Scheme Universe Scheme Question Scheme Control Construct Scheme Category Scheme Code Scheme Variable Scheme Packages of reusable metadata maintained by a single agency

22 Data Foundation – IZA 2007/11 DDI 3.0 Look at schema (Candidate release 2) Look at examples (prototype XML)

23 DDI Lifecycle View and Use Cases

24 Data Foundation – IZA 2007/11 Our Initial Thinking… The metadata payload from version 2.* DDI was re-organized to cover these areas.

25 Data Foundation – IZA 2007/11 Wrapper For later parts of the lifecycle, metadata is reused heavily from earlier Modules. The discovery and analysis itself creates data and metadata, re- used in future cycles.

26 Data Foundation – IZA 2007/11 Realizations Many different organizations and individuals are involved throughout this process –This places an emphasis on versioning and exchange between different systems There is potentially a huge amount of metadata reuse throughout an iterative cycle –We needed to make the metadata as reusable as possible Every organization acts as an archive (that is, a maintainer and disseminator) at some point in the lifecycle –When we say archive in DDI 3.0, it refers to this function

27 Data Foundation – IZA 2007/11 DDI 3.0 Lifecycle Model Metadata Reuse

28 Data Foundation – IZA 2007/11 Use Cases Study design/survey instrumentation Questionnaire generation/data collection and processing Data recoding, aggregation and other processing Data dissemination/discovery Archival ingestion/metadata value-add Question/concept/variable banks DDI for use within a research project Capture of metadata regarding data use Metadata mining for comparison, etc. Generating instruction packages/presentations

29 Data Foundation – IZA 2007/11 Study Design/Survey Instrumentation This use case concerns how DDI 3.0 can support the design of studies and survey instrumentation –Without benefit of a question or concept bank

30 Data Foundation – IZA 2007/11 Questionnaire Generation, Data Collection, and Processing This use case concerns how DDI 3.0 can support the creation of various types of questionnaires/CAI, and the collection and processing of raw data into microdata. Algenta working on DDI 3.0 based software

31 Data Foundation – IZA 2007/11 Data Recoding, Aggregation, etc. This use case concerns how DDI 3.0 can describe recodes, aggregation, and similar types of data processing. Relevant to both producer and researcher

32 Data Foundation – IZA 2007/11 Data Dissemination/Data Discovery This use case concerns how DDI 3.0 can support the discovery and dissemination of data. Highly relevant to researchers

33 Data Foundation – IZA 2007/11 Archival Ingestion and Metadata Value-Add This use case concerns how DDI 3.0 can support the ingest and migration functions of data archives and data libraries.

34 Data Foundation – IZA 2007/11 Question/Concept/Variable Banks This use case describes how DDI 3.0 can support question, concept, and variable banks. These are often termed registries or metadata repositories because they contain only metadata – links to the data are optional, but provide implied comparability. The focus is metadata reuse. Concept classification very important to researchers

35 Data Foundation – IZA 2007/11 DDI For Use within a Research Project This use case concerns how DDI 3.0 can support various functions within a research project, from the conception of the study through collection and publication of the resulting data. Direct use in RDC

36 Data Foundation – IZA 2007/11 Capture of Metadata Regarding Data Use This use case concerns how DDI 3.0 can capture information about how researchers use data, which can then be added to the overall metadata set about the data sources they have accessed. Data use and user feedback crucial to improve overall quality and future data production (relevance)

37 Data Foundation – IZA 2007/11 Metadata Mining for Comparison, etc. This use case concerns how collections of DDI 3.0 metadata can act as a resource to be explored, providing further insight into the comparability and other features of a collection of data.

38 Data Foundation – IZA 2007/11 Generating Instruction Packages/Presentations This use case concerns how DDI 3.0 can support automation around the instruction of students and others.

39 Data Foundation – IZA 2007/11 Tools DDI 1/2.x –IHSN Microdata Management Toolkit ( –Nesstar ( –http://www.ddialliance.org –Dextris ( DDI 3.0 –Foundation Tools Platform –UKDA DExT –DDI 3.0 Use case –Algenta SurveyWiz –Dextris (

40 Data Foundation – IZA 2007/11 DDI for RDC A small set of DDI 1/2.x tools are available today –Users can generate from internal databases, use conversion utilities (see DDI web site) or software like Nesstar Publisher and the IHSN Microdata Management Toolkit DDI 3.0 has a much broader scope and provides both core and advanced functionalities that will require management tools –Next generation metadata framework is being build as the standard is begin finalized –The DDI Foundation Tools Program is an umbrella for implementers startup toolkit

41 Data Foundation – IZA 2007/11 Conclusions The first generation of DDI is suitable for data archives interested in the preservation of metadata and discovery by users DDI 3.0 focus on the entire life cycle of the survey and is suitable for many different uses. –More relevant to RDC environment DDI 3.0 calls for coordinated efforts for building relevant tools for producers, archives, researchers and other users

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