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Big Data in Materials Research and Development Summary of a Workshop (2014) / Chapter Skim
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Workshop Themes
Pages 3-10

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From page 3...
... Thom Mason, of Oak Ridge ­ ational N Laboratory, said that because individual researchers in the materials r ­esearch community invest substantial time and effort in making and characterizing a sample, there will be challenges associated with moving into open source data. Other participants noted that access to proprietary and other data owned by private industry can also be constrained because a 3
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From page 4...
... On several occasions, participants dis S cussed the option of storing samples of a material directly instead of storing data related to an experiment. During a discussion session, De nise Swink, a private consultant, asked if reestablishing critical material repositories in DOD should be considered.
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From page 5...
... , discussed at length the White House open data initiative, which leverages existing and emerging information channels (such as journal publications) to create data repositories of the future.
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From page 6...
... Other participants indicated that, regardless of the regime, the amount of data produced in materials science is outpacing the algorithms and processing needed to analyze it. They pointed out that the traditional model of data analysis, which relies on the individual researcher, is not likely to be a viable model as the data size continues to increase.
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From page 7...
... Although no one ranked them in importance with respect to materials science, much discussion time was devoted to the last two -- variety and veracity. Individual participants noted that there are many sources of uncertainty in materials data, with no consistent methods to verify data quality.
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From page 8...
... In other cases, metadata availability referred to broader access to the models themselves; there were several separate discussions about the need to have a stan 3  The NSF EarthCube program is an integrated data management program in the geosciences. See https://www.nsf.gov/geo/earthcube/ for more information.
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From page 9...
... This type of community modeling effort may be a useful example for the materials science community. Several participants stressed the importance of developing and distributing models for predictive purposes, particularly to determine inspection and maintenance intervals and life prediction as a function of use.
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From page 10...
... Some participants suggested using existing information channels to increase the opportunity for data sharing, such as linkages from jour nals to data repositories, consistent with the goals of the White House initiative on openness and access to scientific data.
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Key Terms

  • data repositories
  • materials community
  • participant noted
  • materials data
  • proprietary data

  • participant suggested
  • science community
  • work flow
  • integrated data
  • sharing data

  • data availability
  • data size
  • data quality
  • participants discussed
  • metadata availability

  • astm international
  • suggested looking
  • consistent peer
  • standard models
  • broader access

  • storing data
  • verify data
  • create data
  • data capturing
  • data archives

  • data output
  • transitioning data
  • community data
  • various data
  • automatic data


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