{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T10:47:05Z","timestamp":1774522025558,"version":"3.50.1"},"reference-count":7,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T00:00:00Z","timestamp":1682553600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T00:00:00Z","timestamp":1682553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"FEDER - PT2020","award":["UIDB\/50008\/2020"],"award-info":[{"award-number":["UIDB\/50008\/2020"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Res Notes"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This special issue focuses on the importance of advancing research techniques for managing and analyzing data in today\u2019s data-rich landscape. In this editorial, we set the context and invite contributions for a <jats:italic>BMC<\/jats:italic> Collection of articles titled \u2018Advancing methods in data capture, integration, classification and liberation\u2019. The collection emphasizes the need for efficient ways to standardize, cleanse, integrate, enrich, and liberate data, highlighting recent advancements in research methods and industrial technologies that facilitate this. We invite researchers to submit their best work to the collection and to showcase the latest advancements and additions to research techniques.<\/jats:p>","DOI":"10.1186\/s13104-023-06340-z","type":"journal-article","created":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T17:01:59Z","timestamp":1682614919000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Advancing methods in big data capture, integration, classification and liberation"],"prefix":"10.1186","volume":"16","author":[{"given":"Eftim","family":"Zdravevski","sequence":"first","affiliation":[]},{"given":"Ivan Miguel","family":"Pires","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,27]]},"reference":[{"key":"6340_CR1","doi-asserted-by":"crossref","unstructured":"Aykroyd RG, Leiva V, Ruggeri F. Recent developments of control charts, identification of big data sources and future trends of current research. Volume 144. Technological Forecasting and Social Change; 2019. pp. 221\u201332.","DOI":"10.1016\/j.techfore.2019.01.005"},{"key":"6340_CR2","doi-asserted-by":"crossref","unstructured":"Zdravevski E, Lameski P, Apanowicz C, \u015al\u0119zak D. 2020. From Big Data to business analytics: The case study of churn prediction. Applied Soft Computing, 90, p.106164.","DOI":"10.1016\/j.asoc.2020.106164"},{"key":"6340_CR3","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.is.2014.07.006","volume":"47","author":"IAT Hashem","year":"2015","unstructured":"Hashem IAT, Yaqoob I, Anuar NB, Mokhtar S, Gani A, Khan SU. The rise of \u201cbig data\u201d on cloud computing: review and open research issues. Inform Syst. 2015;47:98\u2013115.","journal-title":"Inform Syst"},{"key":"6340_CR4","doi-asserted-by":"crossref","unstructured":"Su Y, Wang X. Innovation of agricultural economic management in the process of constructing smart agriculture by big data. Sustainable Computing: Informatics and Systems. 2021 Sep;1:31:100579.","DOI":"10.1016\/j.suscom.2021.100579"},{"key":"6340_CR5","doi-asserted-by":"crossref","unstructured":"Wang M, Li S, Zheng T, Li N, Shi Q, Zhuo X, Ding R, Huang Y. Big data health care platform with multisource heterogeneous data integration and massive high-dimensional data governance for large hospitals: Design, development, and application. JMIR Medical Informatics. 2022 Apr 13;10(4):e36481.","DOI":"10.2196\/36481"},{"key":"6340_CR6","doi-asserted-by":"crossref","unstructured":"Roh Y, Heo G, Whang SE. A survey on data collection for machine learning: a big data-ai integration perspective. IEEE Transactions on Knowledge and Data Engineering. 2019 Oct 8;33(4):1328-47.","DOI":"10.1109\/TKDE.2019.2946162"},{"key":"6340_CR7","doi-asserted-by":"publisher","first-page":"100203","DOI":"10.1016\/j.bdr.2021.100203","volume":"25","author":"M Grzegorowski","year":"2021","unstructured":"Grzegorowski M, Zdravevski E, Janusz A, Lameski P, Apanowicz C, \u015al\u0119zak D. Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning. Big Data Research. 2021;25:100203.","journal-title":"Big Data Research"}],"container-title":["BMC Research Notes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13104-023-06340-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13104-023-06340-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13104-023-06340-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T17:03:30Z","timestamp":1682615010000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcresnotes.biomedcentral.com\/articles\/10.1186\/s13104-023-06340-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,27]]},"references-count":7,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["6340"],"URL":"https:\/\/doi.org\/10.1186\/s13104-023-06340-z","relation":{},"ISSN":["1756-0500"],"issn-type":[{"value":"1756-0500","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,27]]},"assertion":[{"value":"13 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Considering that this article is a Guest Editor Editorial, there is no need for ethical approval and consent to participation.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Considering that this article is a Guest Editor Editorial, there is no need for consent to publication.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; nor in the decision to publish the results.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"64"}}