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Work Package 4: Structured data from economic and social history Auke Rijpma January 2016
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Struc data Auke Rijpma

Apr 14, 2017

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CLARIAH
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Page 1: Struc data Auke Rijpma

Work Package 4: Structured data from

economic and social historyAuke Rijpma January 2016

Page 2: Struc data Auke Rijpma

Predecessors

• Economic and social historians often work with structured (tabular) data.

• Includes large data-projects…

• …and many small data sets.

Page 3: Struc data Auke Rijpma

Problems to solve

• Finding data in multiples repositories.

Page 4: Struc data Auke Rijpma
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Problems to solve

• Finding data in multiples repositories.

• Harmonisation.

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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.

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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.

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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

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Tools to explore, visualise, query, and analyse datasets.

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Future CSDH

• Upload, describe, and store data.

• Augment, harmonise, and link data.

• Find, explore, query, visualise, and analyse data.

• Share data, queries, and results.

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Today’s CSDH• Prototype up and running.

• Loosely interconnected parts without a “hood”.

• QBer (Rinke Hoekstra): intake, data description, harmonisation, linking.

• Dedicated data pipelines.

• Triplestore, data-API, queries (Kathrin Dentler).

• Grlc (Albert Meronyo): Query-API .

• Come see our demos and visit Github repos: https://github.com/clariah/!

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Utrecht 1829 Utrecht 1839

QBer

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Triplestore, data-API, queries, queries-API