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The provisional completion of the Human Genome Project in the past
year has attested to the power of databases to become essential tools
in biological research. Much of this effectiveness has derived from the
innate simplicity of the sequence data. However, neuroscience data
present much more difficult problems, which thus far have been
difficult to solve. Although the emergence of electronic versions of
journals is a step in the right direction, the data in an article still
remain locked within the text. Simple search tools can identify key
words and terms in titles, abstracts, and articles, but structured
databases and sophisticated search tools are still lacking on a broad
scale that will provide for massive and efficient movement of
information out of journals and into the hands of research workers.
The first steps in this direction are being taken by the Human Brain
Project and other federally funded initiatives. These have begun to
develop pilot databases and informatics tools for different types of
neuroscience data that have the potential to facilitate research at
different levels of study. One of the most challenging areas is brain
imaging. The complex two-dimensional and four-dimensional imaging data
contrast sharply with the single dimension of sequence data; in
addition, they involve extremely large graphics files, complex
problems of comparison between data sets, and many related problems.
The need for appropriate databases to facilitate the analysis of brain
images, comparisons between results between different laboratories,
development of consensus standards, and reduction of duplication in
research efforts has been increasingly recognized. To meet that need, a
functional magnetic resonance imaging (fMRI) Data Center
(www.fmridc.org) has been established as a publicly accessible
repository of fMRI data. According to the organizers, "The fMRI Data
Center, funded by the National Science Foundation and Keck Foundation,
exists with the goal of providing access to a common data set that
other researchers, from a variety of fields, can use to develop and
evaluate methods, e.g. new statistical techniques, as well as perform
meta-analyses. Such data sets are common in the meteorological,
genetics, and high energy physics communities."
The second year of operation of the fMRI Data Center has been reviewed
recently by the External Advisory Committee, chaired by Marcus Raichle.
(The report, as well as the full membership of the committee, is listed
at the website.) The committee gives a strong endorsement to the Center
in working toward its goals: "first, to provide a publicly
accessible repository of peer-reviewed fMRI studies, and second,
to provide all data necessary to interpret, analyze, and
replicate these studies." The committee noted strong progress in
essential areas, including smoothly functioning data-acquisition procedures, accessibility of the data to users, outreach to encourage the imaging community to share data, establishment of a Summer Workshop
on fMRI informatics, development of data-management software with
dissemination to individual laboratories, and development of tools that
allow researchers to summarize and compare data sets. The committee
noted that work still lies ahead in encouraging researchers to share
data through databases such as this and in obtaining a consensus on
conventions for describing experiments to facilitate analysis and
comparisons between laboratories.
In response to a request to comment on whether journals should require
authors to deposit fMRI data to the Center in conjunction with
publication, similar to the depositing of sequence data in sequence
databases, the committee recommended informal encouragement rather than
formal guidelines at this stage.
In summary, the advisory committee, representing the imaging community,
has given a strong endorsement to the continued development of the fMRI Center.
The success of a Center such as this will be in direct proportion to
the amount of data that is submitted to it. The Journal of
Neuroscience has been among the leaders in moving into the electronic publishing era. It is therefore appropriate for the Journal to support initiatives such as this to make the data
in our flagship journal for the Society for Neuroscience more
accessible and more useful in promoting research on the nervous system.
To support this initiative, the Journal of Neuroscience
therefore encourages authors of fMRI papers accepted for publication in
our journal to submit the experimental data (e.g. images, statistical overlays, and behavioral data) pertaining to their paper to the fMRI
Data Center at the above URL. We believe that it will not be necessary
to make this a requirement, because the advantages of participation
will be immediately obvious. As usual, we solicit feedback from members
of the Society for Neuroscience in developing further this policy.
We anticipate that this will be the first of a series of databases for
different types of neuroscience data that we will recommend to our
authors. Development of these databases will forge ever closer bonds
between journals and research workers to enhance the use of the results
of our studies to further our insights into brain function.
Gordon M. Shepherd
Editor-in-Chief