What is she best known for?
The fields of study she is best known for:
- Operating system
- Database
- The Internet
Workflow, World Wide Web, Metadata, Grid computing and Service are her primary areas of study.
Beth Plale connects Workflow with Provenance in her study.
Her work on The Internet as part of general World Wide Web study is frequently linked to Publication, As is and Service level objective, bridging the gap between disciplines.
The Metadata study which covers Data management that intersects with e-Science.
Her e-Science research includes elements of Open research, Scientific workflow system, Reuse and Business intelligence.
The Grid computing study combines topics in areas such as Data modeling, Web service, Distributed computing and Data mining.
Her most cited work include:
- A survey of data provenance in e-science (986 citations)
- The Open Provenance Model core specification (v1.1) (560 citations)
- A survey of data provenance techniques (146 citations)
What are the main themes of her work throughout her whole career to date?
Beth Plale mainly investigates Meteorology, Vortex, GRIB, World Wide Web and Database.
Her work in the fields of World Wide Web, such as Metadata, overlaps with other areas such as Digital library.
Her work on Relational database and Data management as part of general Database research is often related to Provenance, thus linking different fields of science.
Her Grid computing research integrates issues from Service-oriented architecture and Data stream mining.
Beth Plale combines topics linked to Workflow with her work on Data science.
In her work, Cloud computing is strongly intertwined with Distributed computing, which is a subfield of Workflow.
She most often published in these fields:
- Meteorology (42.31%)
- Vortex (41.03%)
- GRIB (36.67%)
What were the highlights of her more recent work (between 2013-2021)?
- Database (12.05%)
- World Wide Web (12.31%)
- Big data (4.10%)
In recent papers she was focusing on the following fields of study:
The scientist’s investigation covers issues in Database, World Wide Web, Big data, Research center and Provenance.
Her research integrates issues of Multitenancy and Cloud computing in her study of Database.
Her work in the fields of Metadata, Semantic Web and Web service overlaps with other areas such as Interest group and Alliance.
The concepts of her Metadata study are interwoven with issues in Cyberinfrastructure, Data science and Workflow.
Her work deals with themes such as Ecology and Reuse, which intersect with Data science.
Her work carried out in the field of Big data brings together such families of science as Scalability, Supercomputer, Data management, Stream processing and Data analysis.
Between 2013 and 2021, her most popular works were:
- Cloud computing data capsules for non-consumptiveuse of texts (30 citations)
- Intelligent systems for geosciences: an essential research agenda (28 citations)
- Temporal representation for mining scientific data provenance (28 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Database
- The Internet
Her scientific interests lie mostly in Database, Cloud computing, Big data, Metadata and Distributed computing.
Her study in the field of Distributed database is also linked to topics like Research center.
Her biological study spans a wide range of topics, including Computer security, Data management and Reference architecture.
She integrates Data management and Scale in her studies.
Her research in Metadata intersects with topics in Reuse, Relevance, Data integration and Cyberinfrastructure, Data science.
Her Data science study combines topics in areas such as Key and Power graph analysis.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
