Data Curation

Active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education

Researchers Working in this Area

Related Research Projects

Collaborative Research: ABI Development: Kurator: A Provenance-enabled Workflow Platform and Toolkit to Curate Biodiversity Data

Time frame
2014-Present
Investigator
Bertram Ludäscher
Total funding to date
$748,931.00
Funding agency
National Science Foundation

Data curation is a critical step in scientific data digitization, sharing, integration and use. The considerable resources allocated to digitization of natural science collections in the U.S. and globally require a focus on both digitization efficiencies and the utility of the generated data. One way to address both issues is to employ workflow software to automate and streamline data curation…

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Impact of Data Quality and Provenance

Time frame
2014-2017
Investigator
Jana Diesner
Total funding to date
$130,475.00
Funding agency
Korea Institute of Science and Technology Information

How do limitations and intransparencies in data quality and data provenance bias research outcomes, and how can we detect and mitigate these limitations? For example, we have been investigating the impact of entity resolution errors on network analysis results. We found that commonly reported network metrics and derived implications can strongly deviate from the truth—as established based on…

Socio-technical Data Analytics (SODA) Education

Time frame
2012-2016
Investigator
Catherine Blake
Total funding to date
$498,777.00
Funding agency
Institute of Museum and Library Services

This project will create both a master’s and doctoral-level specialization in Socio-technical Data Analytics (SODA). Partnerships with local researchers and businesses who already work with large data-sets will enable master's graduates to receive first-hand experience with both the social and technical implications of large digital data collections, and thus be well-prepared for leadership…

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