Multimedia and Datasets: Providing Access to New
Forms of Nuclear Information

Slide 1: Multimedia and Datasets: Providing Access to New Forms of Nuclear Information

 

Brian A. Hitson
United States Department of Energy
Office of Scientific & Technical Information

 

 

Slide 2: The "Big Data" Era

A definition: "A collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools." (Wikipedia)

How big is "big data"?

22,700,000 hits on Google.

 

Slide 3: Everybody Is On Board

 

• Policymakers
  ✦ U.S. "Big Data" Initiative - $200M (March 2012)
  ✦ European Commission: "Big Data – The Digital Agenda for Europe and Challenges for 2012"
• Scientists/Authors
  ✦ The Fourth Paradigm – Data-Intensive Scientific Discovery (2009)
  ✦ "Sailing on an Ocean of 0s and 1s," Science, Vol. 237 (2010)
  ✦ "A Deluge of Data Shapes a New Era in Computing," New York Times (14 December 2009)
• International/National bodies
  ✦ International Council of Science – ICSU
      • World Data System
      • CODATA
  ✦ U.S. Board on Research Data and Information (BRDI)

Slide 4: Nuclear Data

 

• Nuclear Data*
  • Types:
  ✦Experimental (e.g., Experimental Nuclear Reaction Data (EXFOR))
  ✦Evaluated (e.g., Evaluated Nuclear Data File (ENDF-6) and Evaluated Nuclear Structure Data File – ENSDF)
  ✦Reaction: incident neutrons and incident charged particles and photons
  ✦Structure and decay data: half-lives, decay schemes, etc. (Nuclear Data Sheets)
• Other data-intensive nuclear fields:
  ✦Nuclear medicine
  ✦Radiation safety
  ✦Waste management and environmental research
  ✦Materials analysis
  ✦Safeguards
  ✦Nuclear astrophysics

* Source: Nuclear Data Section, IAEA, 2000

 

Slide 5: The Challenges of Numeric Data:

• Data sets are hard to find.

http://nucleardata.nuclear.lu.se/toi/nucSearch.asp

 

 

Slide 6: The Challenges of Numeric Data:

• Data sets are hard to navigate.
  
  Screenshot of Experimental Nuclear Reaction Data (EXFOR)
  Database Version of September 21, 2012

 

Slide 7: The Challenges of Numeric Data:

• Data sets are hard to cite.
  
  

 

 

 

Slide 8: Why Cite Data?

Data should be cited in just the same way that other sources of information, such as articles and books, are cited.

Data citation can help by:

✓ enabling easy reuse and verification of data
✓ allowing the impact of data to be tracked
✓ creating a scholarly structure that recognizes and rewards data producers

 

 

Slide 9: One Solution: DataCite

What is DataCite?

» A global consortium composed of local institutions focused on improving the scholarly infrastructure around datasets and other non-textual information.

» A service for assigning Digital Object Identification (DOIs) and metadata to data sets.

 

 

Slide 10: How Data Citation Works

Data Citation metadata submitted to DOE-OSTI

Web Service API


241.6 AN

DOI Assigned By DOE-OSTI

DOE-OSTI submits nightly feed of new DOIs to DataCite

DataCite Registers DOI

• Dataset Type
• Dataset Title
• Dataset Creator/Author or Principal Investigator
• Dataset Product Number
• DOE Contract/Award Number
• Originating Research Organization
• Publication/ Issue Date
• Sponsoring Organization
• URL where the Dataset is posted for access
• Contact information

Creator/Author, Primary Investigator, or Submitter notified of Data Citation availability

Data Citation submitted to search engines for indexing

DOE-OSTI updates metadata record with DOI creating a full Data Citation

DataCite validates DOI registration with DOE-OSTI

 

 

Slide 11: Data Citation Demo

Play Demonstration of Data Citation (opens new window)

.

Slide 12: Multimedia …

 

… an increasing form of scientific communications

• Videotaped lectures

 

 

 

 

Slide 13: Multimedia …

 

… an increasing form of scientific communications

• Visualizations

 

 

Slide 14: Multimedia …

… an increasing form of scientific communications

• Experiments/Simulations

YouTube search on "nuclear" has 3,090,000 results

Slide 15: The Challenges with Multimedia Science Information

 

Translating ten languages, with potential for more

Lack of written transcripts, i.e. no "full text" to search

• Metadata, if available, is often minimal
• Scientific, technical, and medical terminology/vocabulary
• Videos can be long, often up to an hour or more

 

Slide 16: Access to Multimedia-based Science & Technology

 

A Case Study for Enhanced Multimedia Search & Retrieval

ScienceCinema

http://www.osti.gov/sciencecinema/

 

• Partnership between OSTI and Microsoft Research.
• Launched in February 2011; searches ~1,800 multimedia files.
• Utilizes Microsoft Research Audio Video Indexing System (MAVIS).
• Enables searching of digitized spoken content.
• Users can search for precise term within video and be directed to the exact point in the video where the term was spoken.

 

Slide 17: Multimedia Search Demo

 

Play Demonstration of Multimedia Search (opens new window)

 

 

 

Slide 18: Summary

 

• Big Data is here.
• Data citation makes data:
• easier to find
• easier to navigate
• Scientific multimedia is here.
• Speech indexing makes multimedia:

• easier to search
• more productive for the scientist and student

 

 

Slide 19: Thank You!

 

Brian A. Hitson
hitsonb@osti.gov
www.osti.gov
865-576-1199