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Determining the Mechanical Strength of Ultra-Fine-Grained Metals
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ERMrest: A Collaborative Data Catalog with Fine Grain Access Control.

Karl Czajkowski1, Carl Kesselman1, Robert Schuler1

  • 1Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.

Proceedings ... IEEE International Conference on Escience. IEEE International Conference on Escience
|May 15, 2018
PubMed
Summary
This summary is machine-generated.

Collaborative data management improves productivity by enabling data producers to create and maintain metadata as data is generated. ERMrest facilitates this with fine-grained access control for enhanced data findability and reusability.

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Area of Science:

  • Data Science
  • Bioinformatics
  • Information Management

Background:

  • Accurate metadata is crucial for data findability, accessibility, interoperability, and reusability (FAIR principles).
  • Traditional metadata creation in data catalogs by curators during publication can be a bottleneck.
  • Decentralizing metadata management to data producers during data generation offers significant productivity and repeatability advantages.

Purpose of the Study:

  • To introduce ERMrest, a relational data service designed for collaborative metadata editing.
  • To demonstrate how ERMrest supports the creation, evolution, and navigation of complex data models.
  • To highlight ERMrest's fine-grained access control capabilities for enabling diverse data-oriented collaborations.

Main Methods:

  • Development of ERMrest, a web-based relational data service.
  • Implementation of fine-grained access control mechanisms for data elements.
  • Design of collaborative editing features for metadata management.
  • Application of ERMrest in data-driven collaborations, including a biocuration pattern.

Main Results:

  • ERMrest enables collaborative editing of metadata by delegating responsibilities to collaboration members.
  • Fine-grained access control allows precise management of data element operations.
  • The service supports the description of relationships between data elements and correction of errors.
  • ERMrest is actively used in multiple data-driven collaborations.

Conclusions:

  • ERMrest provides a robust solution for collaborative metadata management, enhancing FAIR data principles.
  • Fine-grained access control is key to supporting flexible and secure collaborative data editing.
  • Decentralized metadata creation and maintenance by data producers streamline data publication and improve data quality.