Dataset Metadata
Publication Through

•	 Improve dataset discoverablitlity and reuseability by
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Dataset Metadata Publication Through EZID


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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.

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Transcript of "Dataset Metadata Publication Through EZID"

  1. 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 <resource xmlns=”http://datacite.org/schema/kernel-3” 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. ! ! EZID is a service of the University of California Curation Center of the California Digital Library Copyright © 2009-2014 The Regents of the University of California About Us Help Privacy Policy High Potential for Adoption • EZID already has rich metadata for >2000 datasets. • EZID is already incorporated into data management workflows through >100 clients and partners.
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