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InstantKarma

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Overview
The project will improve the collection, preservation, utility and dissemination of provenance information within the NASA Earth Science community.  It will customize and integrate Karma, a proven provenance tool into NASA data production by collecting and disseminating provenance of Advanced Microwave Scanning Radiometer - Earth Observing (AMSR-E) standard data products, intially focusing on Sea Ice.  The plan is to engage the Sea Ice science team and user community and adhere to the Open Provenance Model (OPM).

Resources

Contact

  • Beth Plale [plale at indiana dot edu]
  • Rahul Ramachandran [rahul dot ramachandran at uah dot edu]

Project Contributors

  • Mehmet Aktas (IU)
  • Don Cavalieri (NASA)
  • Helen Conover (UAHuntsville)
  • Michael Goodman (NASA)
  • Lamar Hawkins (UAHuntsville)
  • Scott Jensen (IU)
  • Yuan Luo (IU)
  • Beth Plale (IU)
  • Robert Ping (IU)
  • Prajakta Purohit (IU)
  • Rahul Ramachandran (UAHuntsville)
  • Kathryn Regner (UAHuntsville)
  • Girish Subramanian (IU)
  • Yiming Sun (IU)
  • Markus Thorsten (NASA)

 

Sponsors, June 2010 - present Related News, Events and Publications:

Instant Karma: Applying a Proven Provenance Tool to NASA's AMSR-E Data Production Stream ACCESS-09-0006 Annual Review (Final Review) Final review of the Instant Karma project.
Metadata and Provenance Capture: Fins in a Sea of Data IBM TJ Watson, invited talk by Beth Plale, April 27, 2012.
Project News for Karma Provenance Collection Tool - Karma v3.2.1 Release This release includes: 1) Improvement of query performance with provenance graphs caching. 2) Implementation of several query API calls. 3) Bugfixes.
Metadata and Provenance: Fins in the Sea of Data Purdue University, Discovery Park, Cyber Center invited talk by Prof. Beth Plale. March 28, 2012.
D2I: Temporal Data Mining of Scientific Data Provenance Peng Chen, Ph.D. Student, School of Informatics and Computing, Research Assistant, Data to Insight Center, Indiana University. Provenance of digital scientific data is an important piece of the metadata of the data object. It can however grow voluminous quickly because the granularity level of capture can be high. It can also be quite feature rich. We propose a representation of the provenance data based on logical time that reduces the feature space. Creating time and frequency domain...
Indiana University Pervasive Technology Institute Report to the Lilly Endowment, Inc. Grant Number 2008 1639-00 36 Month Program Report June 1, 2011 - November 30, 2011 Bi-Annual report to the Lilly Endowment, Inc. Search for "Lilly Report" to find all reports.
Key Provenance of Earth Science Observational Data Products As the sheer volume of data increases, particularly evidenced in the earth and environmental sciences, local arrangements for sharing data need to be replaced with reliable records about the what, who, how, and where of a data set or collection. This is frequently called the provenance of a data set. While observational data processing systems in the earth sciences have a long history of capturing metadata about the processing pipeline, current processes are limited in both what is captured and...
2011 Fall Seminar Series D2I hosts a series of seminars each semester. Click here for dates, locations, abstracts, bios, slides, archives of talks and general information about the talks.
Instant Karma Status Update: Provenance at the AMSR-E SIPS Poster presented at NASA Earth Science Data Systems Working Groups (ESDSWG) Meeting, November 2011.
Instrumenting Earth Science Applications for OPM-Driven Provenance White paper distributed at the ESIP Federation Meeting, July 2011.

Digital Data Provenance >>