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Exploring Horizons for Domestic Animal Genomics Workshop Summary (2002) / Chapter Skim
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5. Data Access
Pages 26-29

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From page 26...
... . "These have to do with the interoperability of data, the sharing of data in some cases, but, principally, organizing it in such a way that others can come along and add value to it in some efficient ways." So far, he said, "the genome projects have been largely unsuccessful at dealing with many of these." APPROPRIATE TOOLS AND THE IMPORTANCE OF DATA ACCESS One can frame the issue in terms of access to data, said Claire Fraser.
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From page 27...
... There have been all sorts of models proposed, from letting people in the community who are passionately interested in an organism do it on an ad hoc basis, to having this done in a more centralized facility, to having this done in a distributed way but with clear rules for interoperability. I've even heard some people go so far as to suggest that perhaps we need to come up with some sort of tax on genome projects that goes to fund a bioinformatics trust managed by an inter-agency group responsible for maintaining these databases." Several participants pointed out that in order to maximize the value of the information generated by domestic animal genome projects, researchers and information technology specialists will have to pay more attention to data handling.
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From page 28...
... So if you've got 500 microbial genomes and people want to come in and work with the data, I would argue that we don't really have representation systems for that type of thing." While the problem of scaling up the databases that hold basic information, such as sequences of base pairs, is challenging but seemingly solvable, no one yet has constructed databases that will be able to handle the amount of annotation that likely will proliferate in the years to come. STRUCTURING GENOME DATABASES Workshop participants had various perspectives on how a system of genome databases should be structured.
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From page 29...
... If you have only centers for collecting information, you develop no local skills and no local students to use that information." "Centers like NCBI do an extraordinary job of archiving low-level information," he continued. "But in the plant community, for instance, there is an immense difference in the interests of, say, the cereal genomicists versus just the legume folks.
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Key Terms

  • sequence information
  • data access
  • domestic animal
  • genome databases
  • legume folks

  • animal genome
  • technology specialists
  • operational procedures
  • community exploration
  • functional assignments

  • data type
  • structured database
  • plant community
  • train graduate
  • managing sequence

  • job managing
  • structuring genome
  • sequence data
  • databases built
  • develop standards

  • manage data
  • genomicists versus
  • constructed databases
  • individualized databases
  • create local

  • hold basic
  • models proposed
  • organism studied
  • expression information
  • appropriate tools


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