{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T07:20:42Z","timestamp":1725952842091},"reference-count":33,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,4,12]],"date-time":"2019-04-12T00:00:00Z","timestamp":1555027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&D Program of China","award":["2017YFB0203703","KM201910037186"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"Big data technique is a series of novel technologies to deal with large amounts of data from various sources. Unfortunately, it is inevitable that the data from different sources conflict with each other from the aspects of format, semantics, and value. To solve the problem of conflicts, the paper proposes data consistency theory for scientific big data, including the basic concepts, properties, and quantitative evaluation method. Data consistency can be divided into different grades as complete consistency, strong consistency, weak consistency, and conditional consistency according to consistency degree and application demand. The case study is executed on material creep testing data. The analysis results show that the theory can solve the problem of conflicts in scientific big data.<\/jats:p>","DOI":"10.3390\/info10040137","type":"journal-article","created":{"date-parts":[[2019,4,12]],"date-time":"2019-04-12T16:55:04Z","timestamp":1555088104000},"page":"137","source":"Crossref","is-referenced-by-count":14,"title":["Data Consistency Theory and Case Study for Scientific Big Data"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5349-6383","authenticated-orcid":false,"given":"Peng","family":"Shi","sequence":"first","affiliation":[{"name":"National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0240-6958","authenticated-orcid":false,"given":"Yulin","family":"Cui","sequence":"additional","affiliation":[{"name":"National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Kangming","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Mingmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Lianhong","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Information, Beijing Wuzi University, Beijing 101149, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.isprsjprs.2015.10.012","article-title":"Geospatial big data handling theory and methods: A review and research challenges","volume":"115","author":"Li","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.procs.2015.04.188","article-title":"A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology","volume":"48","author":"Ishwarappa","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.ijinfomgt.2014.10.007","article-title":"Beyond the hype: Big data concepts, methods, and analytics","volume":"35","author":"Gandomi","year":"2015","journal-title":"Int. J. Inf. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Fortier, P.J., and Michel, H.E. (2003). Database Systems Performance Analysis. Computer Systems Performance Evaluation and Prediction, Elsevier Science. Digital Press.","DOI":"10.1016\/B978-155558260-9\/50014-X"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Tosun Umut (2014). Distributed Database Design: A Case Study. Procedia Comp. Sci., 37, 447\u2013450.","DOI":"10.1016\/j.procs.2014.08.067"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"11700","DOI":"10.1109\/ACCESS.2017.2715322","article-title":"An Approach to Data Consistency Checking for the Dynamic Replacement of Service Process","volume":"5","author":"Gao","year":"2017","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1016\/j.future.2010.06.006","article-title":"Client-centric consistency formalization and verification for system with large-scale distributed data storage","volume":"26","author":"Zhu","year":"2010","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_8","unstructured":"Chihoub, H.E. (2013). Managing Consistency for Big Data Applications: Tradeoffs and Self-Adaptiveness, \u00c9cole Normale Sup\u00e9rieure de Cachan-ENS Cachan. (In English)."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.isprsjprs.2015.11.006","article-title":"Rethinking big data: A review on the data quality and usage issues","volume":"115","author":"Liu","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/MS.2014.51","article-title":"Distribution, data, deployment: Software architecture convergence in big data systems","volume":"32","author":"Gorton","year":"2015","journal-title":"IEEE Softw."},{"key":"ref_11","first-page":"654","article-title":"Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the World Wide Web","volume":"97","author":"Karger","year":"1997","journal-title":"ACM Symp. Theory Comput."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/978-1-4614-7597-2_3","article-title":"Recognizing unexplained behavior in network traffic","volume":"55","author":"Albanese","year":"2014","journal-title":"Netw. Sci. Cybersecur."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Schutt, T., Schintke, F., and Reinefeld, A. (2006, January 16\u201319). Structured Overlay without Consistent Hashing: Empirical Results. Proceedings of the IEEE International Symposium on Cluster Computing and the Grid, Singapore.","DOI":"10.1109\/CCGRID.2006.1630903"},{"key":"ref_14","unstructured":"Flora, A., Vincenzo, M., Antonio, P., and Giancarl, S. (August, January 31). Diffusion Algorithms in Multimedia Social Networks: A preliminary model. Proceedings of the 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, Sydney, Australia."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"16","DOI":"10.5334\/dsj-2015-016","article-title":"How to Choose Appropriate Experts for Peer Review: An Intelligent Recommendation Method in a Big Data Context","volume":"14","author":"Liu","year":"2015","journal-title":"Data Sci. J."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.aei.2015.04.007","article-title":"Data-source interoperability service for heterogeneous information integration in ubiquitous enterprises","volume":"29","author":"Pang","year":"2015","journal-title":"Adv. Eng. Inform."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1016\/j.ajic.2014.06.017","article-title":"Observer accuracy and behavior analysis: Data collection procedures on hand hygiene compliance in a neurovascular unit","volume":"42","author":"Hinz","year":"2014","journal-title":"Am. J. Infect. Control"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"GRDI37","DOI":"10.2481\/dsj.GRDI-007","article-title":"Data storage and management for global research data infrastructures\u2014Status and perspectives","volume":"12","author":"Laure","year":"2013","journal-title":"Data Sci. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"S393","DOI":"10.2481\/dsj.6.S393","article-title":"The electronic data and retrieval of the secret history of the mongols","volume":"6","author":"Jiang","year":"2007","journal-title":"Data Sci. J."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.chaos.2016.03.021","article-title":"On different forms of self similarity","volume":"87","author":"Aswathy","year":"2016","journal-title":"Chaos Solitons Fractals"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"PDA8","DOI":"10.2481\/dsj.IFPDA-02","article-title":"Managing antarctic data-a practical use case","volume":"13","author":"Finney","year":"2015","journal-title":"Data Sci. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1016\/j.rser.2015.12.243","article-title":"LCA databases focused on construction materials: A review","volume":"58","author":"Marrero","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.neucom.2016.02.016","article-title":"Semantic consistency hashing for cross-modal retrieval","volume":"193","author":"Yao","year":"2014","journal-title":"Neurocomputing"},{"key":"ref_24","unstructured":"Thorsen, H.V. (2000). Computer-Implemented Control of Access to Atomic Data Items. (6052688A), U.S. Patent."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.matdes.2015.11.079","article-title":"Creep life analysis by an energy model of small punch creep test","volume":"91","author":"Yang","year":"2016","journal-title":"Mater. Des."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.ins.2014.04.056","article-title":"Vector valued similarity measures for Atanassov\u2019s intuitionistic fuzzy sets","volume":"280","author":"Beliakov","year":"2016","journal-title":"Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.actaastro.2015.10.004","article-title":"Distance-based relative orbital elements determination for formation flying system","volume":"118","author":"He","year":"2016","journal-title":"Acta Astronaut."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.ipm.2013.10.003","article-title":"Using compositional semantics and discourse consistency to improve Chinese trigger identification","volume":"50","author":"Li","year":"2014","journal-title":"Inf. Process. Manag."},{"key":"ref_29","unstructured":"(2019, April 08). WordNet. Available online: https:\/\/wordnet.princeton.edu."},{"key":"ref_30","unstructured":"(2019, April 08). Tongyici Cilin (Extended). Available online: http:\/\/www.bigcilin.com\/browser\/."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1016\/j.tele.2015.12.005","article-title":"Real-time business activity monitoring and analysis of process performance on big-data domains","volume":"33","author":"Molloy","year":"2016","journal-title":"Telemat. Inf."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Yurechko, M., Schroer, C., Wedemeyer, O., Skrypnik, A., and Konys, J. (2010, January 4\u20137). Creep-to-rupture of 9% Cr steel T91 in air and oxygen-controlled lead at 650 \u00b0C. Proceedings of the NuMat 2010 Conference, Karlsruhe, Germany.","DOI":"10.1016\/j.jnucmat.2011.05.034"},{"key":"ref_33","unstructured":"(2019, April 08). NIMS Database. Available online: https:\/\/smds.nims.go.jp\/creep\/index_en.html."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/10\/4\/137\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T01:49:58Z","timestamp":1718588998000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/10\/4\/137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,12]]},"references-count":33,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["info10040137"],"URL":"https:\/\/doi.org\/10.3390\/info10040137","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,12]]}}}
