Search (2 results, page 1 of 1)

  • × author_ss:"Brownlee, R."
  • × theme_ss:"Metadaten"
  1. Wu, M.; Liu, Y.-H.; Brownlee, R.; Zhang, X.: Evaluating utility and automatic classification of subject metadata from Research Data Australia (2021) 0.00 
    0.001757696 = product of:
  0.003515392 = sum of:
    0.003515392 = product of:
      0.007030784 = sum of:
        0.007030784 = weight(_text_:a in 453) [ClassicSimilarity], result of:
          0.007030784 = score(doc=453,freq=6.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.13239266 = fieldWeight in 453, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=453)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    In this paper, we present a case study of how well subject metadata (comprising headings from an international classification scheme) has been deployed in a national data catalogue, and how often data seekers use subject metadata when searching for data. Through an analysis of user search behaviour as recorded in search logs, we find evidence that users utilise the subject metadata for data discovery. Since approximately half of the records ingested by the catalogue did not include subject metadata at the time of harvest, we experimented with automatic subject classification approaches in order to enrich these records and to provide additional support for user search and data discovery. Our results show that automatic methods work well for well represented categories of subject metadata, and these categories tend to have features that can distinguish themselves from the other categories. Our findings raise implications for data catalogue providers; they should invest more effort to enhance the quality of data records by providing an adequate description of these records for under-represented subject categories.
    Type
    a
  2. Brownlee, R.: Research data and repository metadata : policy and technical issues at the University of Sydney Library (2009) 0.00 
    0.0014351527 = product of:
  0.0028703054 = sum of:
    0.0028703054 = product of:
      0.005740611 = sum of:
        0.005740611 = weight(_text_:a in 2988) [ClassicSimilarity], result of:
          0.005740611 = score(doc=2988,freq=4.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.10809815 = fieldWeight in 2988, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2988)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    The University of Sydney Library's repository contains research outputs primarily comprising traditional publication types. Many academics manage data collections within databases and spreadsheets using metadata dissimilar to the repository's Dublin Core schema. During 2007 and 2008 the author explored issues surrounding submission of a small range of research data collections and associated metadata. Native metadata structures were analysed and mapped to DC and scripts translated, packaged and transferred collections. This paper discusses metadata management and repository service levels and sustainability. It describes the Library's approach to defining service requirements and includes discussion of various metadata management options. It also describes related activities within the University of Sydney to develop eResearch services and to harmonise the roles and relationships of eResearch support service providers.
    Type
    a

Authors

Years