Although there is consensus that datasets should be treated like “first class” research objects in how they are discovered, cited, and recognized, this is still far from a reality. Datasets are poorly indexed by search engines, and they are rarely cited in formal reference lists. A solution that a number of journals are implementing is to publish discovery and citation proxy objects in the form of peer-reviewed “data papers.” A strength of this approach is that it requires dataset creators to write up rich and useful metadata for the paper, but an accompanying weakness is that busy creators are not always willing to invest the necessary time and energy. To enhance dataset discoverability without burdening creators, EZID (easy-eye-dee) will begin using dataset metadata to automatically generate lightweight, non-peer reviewed publications that will increase the exposure of the metadata to search engines. EZID (ezid.cdlib.org) maintains public DataCite metadata records for over 167,000 datasets, any of which could be viewed as HTML or as a dynamically generated PDF. In cases where the creator has submitted only the required DataCite metadata, the document will function as a cover-sheet or landing page. If the creator chooses to submit optional Abstract and Methods metadata (over 2,000 records already contain Abstracts), the document expands to more closely resemble a traditional journal article, while retaining the linking functionality of a landing page. A potential bonus is that providing an incrementally improved document in exchange for the effort of submitting incrementally improved metadata may encourage authors to submit more than the minimum required metadata.

1. Dataset Metadata
Publication Through
Goal
• Improve dataset discoverablitlity and reuseability by
publishing lightweight data papers
Principles
John Ernest Kratz
John.Kratz@ucop.edu
@john_kratz
John Kunze
Stephen Abrams
Greg Janée
Joan Starr
Carly Strasser
Patterns of age-related water diffusion changes in human
brain by concordance and discordance analysis.
Zhang, Yu; Du, An-Tao; Hayasaka, Satoru; Jahng, Geon-ho; Hlavin, Jennifer; Zhan, Wang; Weiner,
Michael W.; Schuff, Norbert; Memory and Aging Center
• Cheap: no extra effort from dataset authors required
• Flexible: authors have the option of putting in effort to get a
better paper
• Discoverable: expose dataset metadata fully for indexing
User creates identifier for dataset
with EZID
Identifier metadata
automatically formatted as a
publication
Published: 2012
Created: 10/11/2012 01:51 PM, Last modified: 11/12/2013 04:14 PM
Identifier: doi:10.7272/Q67P8W9Z Get link
PDF
Abstract
In diffusion tensor imaging (DTI), interpreting changes in terms of fractional
anisotropy (FA) and mean diffusivity or axial (D(||)) and radial (D(?)) diffusivity
can be ambiguous. The main objective of this study was to gain insight into the
heterogeneity of age-related diffusion changes in human brain white matter by
analyzing relationships between the diffusion measures in terms of
concordance and discordance instead of evaluating them separately, which is
difficult to interpret. Fifty-one cognitively normal subjects (22-79 years old) were
studied with DTI at 4 Tesla. Age was associated with widespread concordant
changes of decreased FA and increased MD but in some regions significant FA
reductions occurred discordant to MD changes. Prominent age-related FA
reductions were primarily related to greater radial (D(?)) than axial (D(||))
diffusivity changes, potentially reflecting processes of demyelination. In
conclusion, concordant/discordant changes of DTI indices provide additional
characterization of white matter alterations that accompany normal aging.
Citation
Zhang, Yu; Du, An-Tao; Hayasaka, Satoru; Jahng, Geon-ho; Hlavin, Jennifer; Zhan,
Wang; Weiner, Michael W.; Schuff, Norbert; Memory and Aging Center (2012):
Patterns of age-related water diffusion changes in human brain by concordance
and discordance analysis.. University of California, San Francisco. application/octetstream. http://dx.doi.org/doi:10.7272/q67p8w9z
EZID issues identifier
doi:10.7272/Q67P8W9Z
Search engines index
publication...
...making publication
and dataset discoverable
Download
Dataset
Subject Areas
• Adult [MeSH]
• Human [MeSH]
• Magnetic Resonance
Imaging [MeSH]
Diffusion Magnetic
•
Resonance Imaging
•
•
•
•
•
•
[MeSH]
Brain [MeSH]
Aged [MeSH]
Middle Aged [MeSH]
Young Adult [MeSH]
Anisotropy [MeSH]
Reference Values
[MeSH]
• Aging [MeSH]
Methods
Optionally, identifier
resolves to the
publication
XML
The dataset available here consists of Fractional Anisotropy (FA), Mean
Diffusivity (MD), Axial Diffusivity (I1), and Radial Diffusivity (Dra) images as well
as subject-study-specific normalization images (B0, see methods in paper) in
Analyze format. There are B0, FA, MD, I1, and Dra images for 51 subjects, and
a spreadsheet describing each subject's handedness (right, left or
ambidextrous), age (at time of scan), gender, ApoE alleles, and Mini-Mental
State Exam score. Data Acquisition Location: San Francisco VA Medical
Center; Scanner Type: Siemens Bruker 4T, equipped with a birdcage transmit
and 8 channel receive coil. DTI was based on a dual spin-echo echo-planar
imaging (EPI) sequence, augmented by parallel imaging acceleration
(GRAPPA) by a factor 2 to reduce susceptibility distortions. Other imaging
parameters were: TR/TE = 6000/77 ms; field of view 256 cm × 224 cm; 128 ×
112 matrix size, yielding 2 mm × 2 mm in-plane resolution; 40 continuous
slices, each 3 mm thick. A diffusion reference image (no diffusion gradient b =
0) and six diffusion-weighted images (b = 800 s/mm2 along 6 non-collinear
directions) were acquired. Four DTI scans were acquired and averaged after
motion correction to boost signal-to-noise.
About the
identifier
Publication
links
to...
Patterns of age‐related water diffusion changes
in human brain by concordance and discordance
analysis.
Yu Zhang, An­Tao Du, Satoru Hayasaka, Geon­ho Jahng, Jennifer Hlavin, Wang Zhan,
Michael W. Weiner, Norbert Schuff, Memory and Aging Center
UCSF Center for Imaging of Neurodegenerative Diseases University of California, San Francisco.
Submitted 2012. Report Generated 12:56pm October 28, 2013.
Dataset Citation
Zhang, Yu; Du, An­Tao; Hayasaka, Satoru; Jahng, Geon­ho; Hlavin, Jennifer; Zhan,
Wang; Weiner, Michael W.; Schuff, Norbert; Memory and Aging Center (2012): Patterns
of age­related water diffusion changes in human brain by concordance and
discordance analysis.. University of California, San Francisco. application/octet­stream.
http://dx.doi.org/doi:10.7272/q67p8w9z
Description
In diffusion tensor imaging (DTI), interpreting changes in terms of fractional anisotropy
(FA) and mean diffusivity or axial (D(||)) and radial (D(?)) diffusivity can be ambiguous.
The main objective of this study was to gain insight into the heterogeneity of age­related
diffusion changes in human brain white matter by analyzing relationships between the
diffusion measures in terms of concordance and discordance instead of evaluating them
separately, which is difficult to interpret. Fifty­one cognitively normal subjects (22­79
years old) were studied with DTI at 4 Tesla. Age was associated with widespread
concordant changes of decreased FA and increased MD but in some regions significant
FA reductions occurred discordant to MD changes. Prominent age­related FA reductions
were primarily related to greater radial (D(?)) than axial (D(||)) diffusivity changes,
potentially reflecting processes of demyelination. In conclusion, concordant/discordant
PDF version
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xmlns:xsi=”http://www.w3.org/2001/XMLSchema-instance”
xsi:schemaLocation=”http://datacite.org/schema/kernel-3
http://schema.datacite.org/meta/kernel-3/metadata.xsd”>
<identifier identifierType=”DOI”>10.7272/Q67P8W9Z</identifier>
<creators>
<creator><creatorName>Zhang, Yu</creatorName></creator>
<creator><creatorName>Du, An-Tao</creatorName></creator>
<creator><creatorName>Hayasaka, Satoru</creatorName></creator>
<creator><creatorName>Jahng, Geon-ho</creatorName></
creator>
Metadata as XML
Owner: merritt
Group: merritt
Co-owners: none
!
Created:
10/11/2012 01:51 PM
Last modified:
11/12/2013 04:14 PM
!
Status: public
Allow harvesting/
indexing? Yes
!
The Dataset itself
References
Zhang Y, Du AT, Hayasaka S, Jahng GH, Hlavin J, Zhan W, Weiner MW, Schuff N.
Patterns of age-related water diffusion changes in human brain by concordance
and discordance analysis. Neurobiol Aging. 2010 Nov;31(11):1991-2001. doi:
10.1016/j.neurobiolaging.2008.10.009. Epub 2008 Nov 25.
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