Paper Info
Title
LabBook: Metadata-driven social collaborative data analysis
Abstract
Open data analysis platforms are being adopted to support collaboration in science and business. Studies suggest that analytic work in an enterprise occurs in a complex ecosystem of people, data, and software working in a coordinated manner. These studies also point to friction between the elements of this ecosystem that reduces user productivity and quality of work. LabBook is an open, social, and collaborative data analysis platform designed explicitly to reduce this friction and accelerate discovery. Its goal is to help users leverage each other's knowledge and experience to find the data, tools and collaborators they need to integrate, visualize, and analyze data. The key insight is to collect and use more metadata about all elements of the analytic ecosystem by means of an architecture and user experience that reduce the cost of contributing such metadata. We demonstrate how metadata can be exploited to improve the collaborative user experience and facilitate collaborative data integration and recommendations. We describe a specific use case and discuss several design issues concerning the capture, representation, querying and use of metadata.
Year
DOI
Venue
2015
10.1109/BigData.2015.7363784
Big Data
Keywords
Field
DocType
metadata, collaboration, data discovery, data analytics
Data science,Data mining,Metadata,World Wide Web,Data element,Data mapping,Meta Data Services,Computer science,Data dictionary,Enterprise data management,Change data capture,Spatial data infrastructure
Conference
Citations 
PageRank 
References 
16
0.78
14
Authors
7
Name
Order
Citations
PageRank
Eser Kandogan169864.49
Mary Roth2452.75
Peter Schwarz313116.84
Joshua Hui4161.12
Ignacio Terrizzano5493.67
Christina Christodoulakis6192.54
Renée J. Miller73545373.59