Global social science data exchange why do we need data and metadata standards
This presentation is the property of its rightful owner.
Sponsored Links
1 / 34

Global social science data exchange – why do we need data and metadata standards? PowerPoint PPT Presentation


  • 61 Views
  • Uploaded on
  • Presentation posted in: General

Global social science data exchange – why do we need data and metadata standards?. Louise Corti and Ken Miller UK Data Archive, University of Essex E-science, Manchester, June 2006. UK Data Archive.

Download Presentation

Global social science data exchange – why do we need data and metadata standards?

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Global social science data exchange why do we need data and metadata standards

Global social science data exchange – why do we need data and metadata standards?

Louise Corti and Ken Miller

UK Data Archive, University of Essex

E-science, Manchester, June 2006


Uk data archive

UK Data Archive

  • an internationally-renowned centre of expertise in data acquisition, preservation, dissemination and promotion

  • curator of the largest collection of digital data in the social sciences and humanities in the UK

  • provides resource discovery and support for the secondary use of quantitative and qualitative data in research, learning and teaching

  • a lead partner of the Economic and Social Data Service (ESDS)

  • provides preservation services for other data organisations

  • facilitates international data exchange


Ukda and e science

UKDA and e-science

NCeSS Hub work:

  • contributed to early reports on grid-enabling data

  • membership of selection panel for NCeSS projects and nodes

  • metadata for social science data

  • identify and implement grid-enabled survey datasets

  • access and authentication systems for e-science

  • confidentiality with respect to linking data sources

  • text mining applications for textual data with NaCTeM

  • organised agenda setting workshop on simulation


Preservation

Preservation

  • UKDA currently preserve

    • approximately 4,600 studies

    • occupying about 650GB but with capacity for more than 3TBytes on main system

    • 266,000 files, 56,000 directories (average file size 2.6MBytes).

    • growing by about 100GB per year

  • more than 40 years of electronic data preservation

  • have (so far) not lost any data!


Best practice in data management and long term archiving

Best practice in data management and long-term archiving

  • data and documentation are converted to, and held in, stable formats, which are considered to be as software and hardware independent as possible

    • ability to freely and intelligently read on many platforms

    • allows easier conversion to required format

    • simplifies migration to new portable format

  • preservation policy is changed as necessary to account for technological shifts, changes in perceived best practice and the nature of the holdings


Data sharing and access

Data sharing and access

UKDA provides:

  • ESDS online registration service - registered users access multiple data services through a one-stop Athens single sign-on

  • streamlined online ordering/access system with personalised web pages of requested datasets and an instant download service

  • flexible multi-layered access control that checks dataset access conditions against user and usage information and online agreement to special conditions

  • UKDA is implementing Shibboleth middleware within the ESDS registration and access system


Data sharing and access1

Data sharing and access

  • data catalogue – some 4600 collections

  • online data browsing

    • Nesstar - simple data analysis, visualisation, downloading and subsetting of survey and aggregate data

    • ESDS Qualidata online – exploring qualitative data

    • Beyond 20/20 – tabulating and graphing international macro databanks


Nesstar

NESSTAR

  • NESSTAR is a Semantic Web application for statistical data and metadata that aims to streamline the process of finding, accessing and analysing statistical information

  • The NESSTAR software suite consists of a fully integrated tool set comprising Server, Publisher and WebView


Nesstar1

NESSTAR


Global social science data exchange why do we need data and metadata standards

The Life Cycle Model


Global social science data exchange why do we need data and metadata standards

The Life Cycle Model


Global social science data exchange why do we need data and metadata standards

Value Added Security

Question Bank

Amazon Comparative

Registry variables categories concepts

Questionnaire Dataset

Harmonisation Publications


Global social science data exchange why do we need data and metadata standards

Building the Data Web

Explore

Analyse

User

Internet

Internet

Discover by

Browsing and Searching

Harvest and categorise using multilingual thesauri.

Distributed

Semantic Web (Meta)data Servers

Madiera Data Portal

NCeSS 2nd International Conference on e-Social Science

Workshop: A Semantic Grid for Social Science


Global social science data exchange why do we need data and metadata standards

MADIERA DEMO


Qualidata online

Qualidata Online

System moves beyond catalogue searching and data download to allow:

  • free-text and filtered searching across multiple data collections

  • browsing and retrieval of textual data

  • increasingly, data in the system will include not only interview transcripts, but audio-visual data, links to field notes annotations

  • system draws on data in structured xml format


Metadata used to display search results

Metadata used to display search results


Metadata used to display search results1

Metadata used to display search results


Transcript with recommended xml mark up

Transcript with recommended XML mark-up


Metadata standards in use

Metadata standards in use

  • study description, data file description, data documentation: DDI

  • for data content and data annotation: the Text Encoding Initiative (TEI)

  • TEI - standard for text mark-up in humanities and social sciences

    • structural elements - turn takers, transcription error

    • context – micro and macro

    • named entities - people, orgs, places, dates, events

    • annotations – fieldwork or analytic

    • links to other data sources – audio, documents etc

  • using TEI consultant to help specify schema


Truly portable data formats

Truly portable data formats?

  • important primary research data is created every day in the course of academic and policy research

  • Data Sharing Policies are encouraging sharing and formalised archiving of data, BUT the ideal life cycle for data creation to re-use remains beset by obstacles

  • the main issues involve the buying-in to a dedicated analytic strategy and typically a particular software package – SPSS or NVivo

  • the UKDA has seen a number of such softwares quickly become obsolete


Numeric data

Numeric data

  • SPSS.por in the 80s enabled import and export between the major statistical analytic packages

  • proprietary translation software for certain types of conversion e.g. StatTransfer and DBMSCopy for numeric data - SPSS to STATA

  • or rely on the inbuilt import and export functions of a given software package

  • both options poorly documented and operate on the software’s internal representations of data


Xml standard for data exchange curation

XML standard for data exchange/curation

  • much needed open standard for curating statistical data resulting from surveys

  • UKDA wish to research an XML standard for data exchange/ curation

  • standard will be defined and expressed as an XML schema.

  • store ALL information in a statistical dataset including the internal metadata (variable and code labels, missing value definitions, variable level notes, variable formatting, etc.).

  • logical extension to the DDI

    • DDI acts as the metadata standard for survey datasets

    • new standard provides the standard for the data themselves

  • seeking funding for this R&D work


Qualitative data

Qualitative data

  • in the qualitative data analysis software field there are no inter-software conversion tools

    • no dedicated import/export facilities between CAQDAS packages eg NVivo, Atlas-ti

  • open data exchange formats are necessary for maximising the opportunities for data sharing and long-term archiving

  • need a standard for data producers to store and publish data in multiple formats

    • e.g UK Data Archive and ESDS Qualidata Online

  • must meet generic needs of varied data types


Quali progress

Quali progress

  • some important progress through TEI and Australian collaboration (here at this conference)

  • ESRC SQUAD project is exploring:

    • universal (XML) standards and technologies

    • proposes an XML community standard (schema) that will be applicable to most qualitative data

    • testing a TEI conformant schema for structural mark-up of text

  • wish to test proposed Australian QDIF standard

  • gained agreement from ALL major CAQDAS software developers

  • seeking money to formalise testing and development


Source to output repositories store project

Source to Output Repositories (StoRE Project)

  • JISC funded under the Digital Repositores Programme

  • interactions between output repositories of research publications and source repositories of primary research data

  • user surveys to determine required functionality in both types of repository

  • general principles for middleware development to link source and output repositories together researched

  • pilot demonstrator being developed

  • full and extensive evaluation of the project


Metadata for social science data

Metadata for social science data

40 years of metadata:

  • for data collections that describe, in detail and at different levels, the dataset using the international standard, the Data Documentation Initiative (DDI) and Dublin Core

  • scoping report with TNA to assess METS and OAIS for collections held at both archives

  • working with TEI to build a schema for mark-up of multi-media qualitative data collections

  • data contributed to JORUM in UKLOM

  • data contributed to JISC Registry using IESR metadata

  • Maintain ontologies and multilingual thesausus for social science


Contacts

Contacts

Louise Corti and Ken Miller

UK Data Archive

University of Essex

Colchester,

Essex CO4 3SQ

Email: [email protected] [email protected]

Tel: +44 (0)1206 872572/872974872001

URL: www.data-archive.ac.uk


  • Login