Now showing items 1-4 of 4

    • Managing and Consuming Completeness Information for RDF Data Sources 

      Darari, Fariz (Free University of Bozen-Bolzano, 2017)
      The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children ...
    • Perspective: Essential study quality descriptors for data from nutritional epidemiologic research 

      Yang C; Pinart M; Kolsteren P; Van Camp J; De Cock N; Nimptsch K; Pischon T; Laird L; Perozzi P; Canali R; Hoge A; Stelmach-Mardas M; Ove Dragsted L; Palombi SM; Dobre I; Bouwman J; Clarys P; Minervini F; De Angelis M; Gobbetti M; Tafforeau J; Coltell O; Corella D; De Ruyck H; Walton J; Kehoe L; Matthys C; De Baets B; De Tré G; Bronselaer A; Rivellese A; Giacco R; Lombardo R; De Clercq S; Hulstaert N; Lachat C (2017)
      Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct ...
    • Process-Aware Data Quality Assessment 

      Savkovic, O (Free University of Bozen-Bolzano, 2016)
      Data quality is one of the most important problems in data management. In this thesis we focus on two problems of data quality: stability and completeness. Stability and completeness are two sides of the same coin. We ...
    • Simplified and still meaningful: assessing butterfly habitat quality in grasslands with data collected by pupils 

      Rüdisser J; Tasser E; Walde J; Huemer P; Lechner K; Ortner A; Tappeiner U (2017)
      Public participation in scientific research, now commonly referred to as citizen science, is increasingly promoted as a possibility to overcome the large-scale data limitations related to biodiversity and conservation ...