{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:14:50Z","timestamp":1754158490064,"version":"3.41.2"},"reference-count":32,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2013,11,18]],"date-time":"2013-11-18T00:00:00Z","timestamp":1384732800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,11,18]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 This paper aims to introduce dataspace into digital libraries in order to address its emerging data management challenges which stem from cross-domain, heterogeneous, and uncertain nature of data resources, based on looking into the fundamental principles, significant features, and research directions of dataspace. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 This research mainly employs three types of research methodologies: a literature study was conducted for revealing the fundamental principles, analyzing the significant features, and discussing the new research topics; knowledge engineering methodology is used to design the data model; software engineering methodology is applied to develop the reference framework and the digital library. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 This paper for the first time proposes a motion to build a Dataspace Support Digital Library (DSDL), and provides its data model, data management policies and a reference framework. Further, its implementation is described and some implications learned from the case study are also discussed. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 Introducing dataspace technologies into developing a digital library frees the developer to just focus on solving business challenges, rather than addressing non-business related, data management level tasks. In addition, the data model and the reference framework presented in this paper lay foundations for constructing Dataspace Support Digital Libraries. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 This is the first paper to introduce dataspaces into the design of digital libraries and is also the first paper to propose a novel data model, data management and reference framework for Dataspace Support Digital Libraries.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/el-02-2012-0017","type":"journal-article","created":{"date-parts":[[2013,10,15]],"date-time":"2013-10-15T06:41:24Z","timestamp":1381819284000},"page":"688-702","source":"Crossref","is-referenced-by-count":2,"title":["Dataspace and its application in digital libraries"],"prefix":"10.1108","volume":"31","author":[{"given":"Chaolemen","family":"Borjigin","sequence":"first","affiliation":[]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chunxiao","family":"Xing","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Lan","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022031619533555900_b1","doi-asserted-by":"crossref","unstructured":"Belhajjame, K.\n               , \n                  Paton, N.W.\n               , \n                  Embury, S.\n               , \n                  Fernandes, A.A.A.\n                and \n                  Hedeler, C.\n                (2010), \u201cFeedback-based annotation, selection and refinement of schema mappings for dataspaces\u201d, in EDBT '10: Proceedings of the 13th International Conference on Extending Database Technology, Lausanne, 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861-874.","DOI":"10.1145\/1376616.1376702"},{"key":"key2022031619533555900_b4","unstructured":"Dittrich, J.P.\n               , \n                  Antonio, M.\n                and \n                  Salles, V.\n                (2006), \u201ciDM: a unified and versatile data model for personal dataspace management\u201d, in VLDB '06: Proceedings of the 32nd International Conference on Very Large Data Bases, September 12-5, 2006, Seoul, Korea, VLDB Endowment, pp. 367-378."},{"key":"key2022031619533555900_b5","unstructured":"Dittrich, J.P.\n               , \n                  Vaz Salles, M.A.\n               , \n                  Kossmann, D.\n                and \n                  Blunschi, L.\n                (2005), \u201ciMeMex: escapes from the personal information jungle\u201d, in VLDB '05: Proceedings of the 31st International Conference on Very Large Data Bases, Trento, Italy, October 4-6, VLDB Endowment, pp. 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