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Work Package 4:
Structured data from
economic and social history
Auke Rijpma
January 2016
Predecessors
• Economic and social historians often work with
structured (tabular) data.
• Includes large data-projects…
•...
Problems to solve
• Finding data in multiples repositories.
• Harmonisation.
• Linking datasets to answer new questions.
•...
Problems to solve
• Finding data in multiples repositories.
• Harmonisation.
• Linking datasets to answer new questions.
•...
Problems to solve
• Finding data in multiples repositories.
• Harmonisation.
• Linking datasets to answer new questions.
•...
What we propose
• Gather and curate important datasets and place them
on the Clariah Structured Data Hub.
• Use web-based ...
Empower Individual Researchers
• Augment and link individual datasets according to best
practices of the community or agai...
Tools to explore, visualise, query, and
analyse datasets.
Future CSDH
• Upload, describe, and store data.
• Augment, harmonise, and link data.
• Find, explore, query, visualise, an...
Today’s CSDH
• Prototype up and running.
• Loosely interconnected parts without a “hood”.
• QBer (intake, data description...
Utrecht 1829 Utrecht 1839
QBer
Triplestore, data-API,
queries, queries-API
WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016
WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016
WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016
WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016
WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016
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WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016

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Voortgang van WP4 (gestructureerde data) door Auke Rijpma

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WP4: overzicht van de voortgang van WP4 op de CLARIAH-dag 22 januari 2016

  1. 1. Work Package 4: Structured data from economic and social history Auke Rijpma January 2016
  2. 2. Predecessors • Economic and social historians often work with structured (tabular) data. • Includes large data-projects… • …and many small data sets.
  3. 3. Problems to solve • Finding data in multiples repositories. • Harmonisation. • Linking datasets to answer new questions. • Analysis of multilevel & big data sets. • Isolated and unknown datasets. • Reproducability v. disposable science.
  4. 4. Problems to solve • Finding data in multiples repositories. • Harmonisation. • Linking datasets to answer new questions. • Analysis of multilevel & big data sets. • Isolated and unknown datasets. • Reproducability v. disposable science.
  5. 5. Problems to solve • Finding data in multiples repositories. • Harmonisation. • Linking datasets to answer new questions. • Analysis of multilevel & big data sets. • Isolated and unknown datasets. • Reproducability v. disposable science.
  6. 6. What we propose • Gather and curate important datasets and place them on the Clariah Structured Data Hub. • Use web-based linked data-technology to augment, harmonise, link, and query datasets. • Provide tooling and incentives to upload new datasets. • Uploading and describing your data gives you augmentation, harmonisation, and links to other micro and macro datasets.
  7. 7. Empower Individual Researchers • Augment and link individual datasets according to best practices of the community or against colleagues • Share machine-interpretable code books with fellow researchers • Align codes and identifiers across datasets • Publish standards-compliant, reusable datasets Grow a giant graph of interconnected datasets
  8. 8. Tools to explore, visualise, query, and analyse datasets.
  9. 9. Future CSDH • Upload, describe, and store data. • Augment, harmonise, and link data. • Find, explore, query, visualise, and analyse data. • Share data, queries, and results.
  10. 10. Today’s CSDH • Prototype up and running. • Loosely interconnected parts without a “hood”. • QBer (intake, data description, harmonisation, linking). • Dedicated data pipelines. • Triplestore, data-API, queries. • Grlc: Query-API. • Come see our demos!
  11. 11. Utrecht 1829 Utrecht 1839 QBer
  12. 12. Triplestore, data-API, queries, queries-API

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