{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T12:03:59Z","timestamp":1771848239048,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T00:00:00Z","timestamp":1614211200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>In this theoretical paper, we explore Big Data ethics in the broader context of general data ethics, stakeholder groups, demand for governance and regulation, social norms, and human values. We follow and expand on the digital divide, governance, and regulatory theories, and we apply them to many levels and contexts, such as state and society, organization, enterprise governance of IT (EGIT), and data projects, among others. We introduce the new role and responsibility of data experts as an important stakeholder group in the balance of power of Big Data ethics because they simultaneously hold a position in groups of data-rich organizations and data-poor users. We argue that the balancing role of data experts consists of motivation and competence, a sense of responsibility for data ethics, and the possibility and means to influence Big Data issues. Finally, we conclude our research by model mapping the role of data experts in Big Data ethics and proposing them as a balancing power.<\/jats:p>","DOI":"10.3390\/info12030097","type":"journal-article","created":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T05:20:08Z","timestamp":1614230408000},"page":"97","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Data Experts as the Balancing Power of Big Data Ethics"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3199-8040","authenticated-orcid":false,"given":"Richard","family":"Novak","sequence":"first","affiliation":[{"name":"Department of Systems Analysis, Faculty of Informatics and Statistics, Prague University of Economics and Business, 130 67 Prague, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1230-5982","authenticated-orcid":false,"given":"Antonin","family":"Pavlicek","sequence":"additional","affiliation":[{"name":"Department of Systems Analysis, Faculty of Informatics and Statistics, Prague University of Economics and Business, 130 67 Prague, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,25]]},"reference":[{"key":"ref_1","first-page":"223","article-title":"Big Data Ethics and Specific Differences from General Data Ethics","volume":"Volume 28","year":"2020","journal-title":"IDIMT 2020: Digitalized Economy, Society and Information Management\u201428th Interdisciplinary Information Management Talks"},{"key":"ref_2","first-page":"119","article-title":"Privacy as Contextual Integrity","volume":"79","author":"Nissenbaum","year":"2004","journal-title":"Wash. 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