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Tech."],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Generating one dataset from another is a fundamental activity in data science: data\n                    <jats:italic>curators<\/jats:italic>\n                    convert datasets to different file formats, create data subsets, generate metadata, integrate data from multiple sources, and so on; data\n                    <jats:italic>analysts<\/jats:italic>\n                    generate summaries and classifications, create visualizations, and derive data about one sort of thing from data about another sort of thing. Sometimes these transformations occur in independent single episodes, sometimes as part of an extended structured process or scientific workflow. Although such transformations have been studied from a variety of perspectives, there has been little effort to develop a general classification based on intrinsic (rather than functional) characteristics, apart from computational complexity. With this paper we hope to motivate a classification of transformations based on the relationships between the\n                    <jats:italic>Intensional<\/jats:italic>\n                    features of the input and output datasets, that is, their propositional and conceptual content. Intensional entities are the fundamental components of scientific reasoning and explanation and consequently deserve a uniquely central role in the analysis of information work. We believe such a classification would be a valuable contribution to the data curation curriculum. This paper is an introduction to that project.\n                  <\/jats:p>","DOI":"10.1002\/pra2.2018.14505501045","type":"journal-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T16:52:19Z","timestamp":1549039939000},"page":"414-419","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Toward an intensional approach to transformation classification"],"prefix":"10.1002","volume":"55","author":[{"given":"Allen H.","family":"Renear","sequence":"first","affiliation":[{"name":"School Information Sciences University of Illinois at Urbana\u2010Champaign"}]},{"given":"Xinrui","family":"Wang","sequence":"additional","affiliation":[{"name":"National Science Library University of Chinese Academy of Sciences"}]}],"member":"311","published-online":{"date-parts":[[2019,2]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-011-0083-6"},{"key":"e_1_2_10_3_1","doi-asserted-by":"crossref","unstructured":"Dubin D. Wickett K. M. &Sacchi S.(2011). Content format and interpretation.Proceedings of Balisage: The Markup Conference7.","DOI":"10.4242\/BalisageVol7.Dubin01"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-011-0083-6"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/603867.603876"},{"key":"e_1_2_10_6_1","doi-asserted-by":"crossref","unstructured":"Renear A. Sacchi S. Wickett K. M.(2010) Definitions of dataset in the scientific and technical literature.Proceedings of the Association for Information Science and Technology. 47:1 1\u20134.","DOI":"10.1002\/meet.14504701240"},{"key":"e_1_2_10_7_1","doi-asserted-by":"crossref","unstructured":"Sacchi S. Wickett K. M. Renear A. H. &Dubin D. S.(2011). A framework for applying the concept of significant properties to datasets. InProceedings of the American Society for Information Science and Technology48:1 1\u201010","DOI":"10.1002\/meet.2011.14504801148"},{"key":"e_1_2_10_8_1","first-page":"2008","volume":"2","author":"Sandore B.","year":"2010","journal-title":"ECHO DEPository \u2014 Phase"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.2218\/ijdc.v6i1.179"},{"key":"e_1_2_10_10_1","doi-asserted-by":"crossref","unstructured":"Thomer A. K.andWeber N. M.(2014) The phylogeny of a dataset. InProceedings of the American Society for Information Science and Technology 51:1\u201311.","DOI":"10.1002\/meet.2014.14505101064"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-010-0046-3"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2011.04.057"},{"key":"e_1_2_10_13_1","doi-asserted-by":"crossref","unstructured":"Wickett K. Sacchi S. Dubin D. Renear A.(2012). Identifying content and levels of representation in scientific dataProceedings of the Association for Information Science and Technology49:1 1\u201310.","DOI":"10.1002\/meet.14504901199"},{"key":"e_1_2_10_14_1","doi-asserted-by":"crossref","unstructured":"Wickett K. M. Renear A. H.andUrban R. 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