Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session UP11: Poster Session VIII: MST; DIII-D Tokamak; SPARC, C-Mod, and High Field Tokamaks; HBT-EP; Transport and LPI in ICF Plasmas, Hydrodynamic Instability; HEDP Posters; Space and Astrophysical Plasmas (2:00pm-5:00pm)
Thursday, November 8, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.UP11.71
Abstract: UP11.00071 : Navigational Data Management: a general solution to storage, exploration, and annotation of relationships in scientific data sets*
Presenter:
Martin J Greenwald
(Massachusetts Inst of Tech-MIT)
Authors:
Joshua Stillerman
(MIT)
Martin J Greenwald
(Massachusetts Inst of Tech-MIT)
Jason Stillerman
(MIT Plasma science and fusion center)
John Wright
(MIT PSFC)
The size and complexity of scientific research data sets is growing very rapidly. Many projects are long running collaborations between evolving groups of researchers. Integrating and documenting these large heterogeneous data collections is needed for these data to be exploited, and to retain their value and meaning over time. Most existing projects have application specific solutions for these data management problems. The Navigational Data Management (NDM) project provides a general solution that can be applied irrespective of the science domain. The system represents data and annotations as generalized objects. It stores relationships as labeled property graphs. URIs provide a mechanism to attach external data objects: files, MDSplus records, drawings, etc... NDM stores the metadata and data schemas, and application behaviors as first class objects. These can then be modified, added to, and even annotated as the needs of the research group evolve.
This new tool set is under construction and being applied to some initial projects at several institutions. It is a single page application (SPA) using modern javascript front-end tools, and a graph database as the back-end.
*This work is funded by the National Science Foundation under DIBBS award no. 1640829.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.UP11.71
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