{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T08:18:08Z","timestamp":1792743488551,"version":"4.5.0"},"reference-count":25,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,4,6]],"date-time":"2020-04-06T00:00:00Z","timestamp":1586131200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>In our present paper, the influence of data quality on the success of the user acceptance of research information systems (RIS) is investigated and determined. Until today, only a little research has been done on this topic and no studies have been carried out. So far, just the importance of data quality in RIS, the investigation of its dimensions and techniques for measuring, improving, and increasing data quality in RIS (such as data profiling, data cleansing, data wrangling, and text data mining) has been focused. With this work, we try to derive an answer to the question of the impact of data quality on the success of RIS user acceptance. An acceptance of RIS users is achieved when the research institutions decide to replace the RIS and replace it with a new one. The result is a statement about the extent to which data quality influences the success of users\u2019 acceptance of RIS.<\/jats:p>","DOI":"10.3390\/data5020035","type":"journal-article","created":{"date-parts":[[2020,4,7]],"date-time":"2020-04-07T03:58:39Z","timestamp":1586231919000},"page":"35","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5225-389X","authenticated-orcid":false,"given":"Otmane","family":"Azeroual","sequence":"first","affiliation":[{"name":"German Center for Higher Education Research and Science Studies (DZHW), Sch\u00fctzenstra\u00dfe 6A, 10117 Berlin, Germany"},{"name":"Otto-von-Guericke-University Magdeburg, Universit\u00e4tsplatz 2, 39106 Magdeburg, Germany"},{"name":"University of Applied Sciences HTW Berlin, Wilhelminenhofstra\u00dfe 75 A, 12459 Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gunter","family":"Saake","sequence":"additional","affiliation":[{"name":"Otto-von-Guericke-University Magdeburg, Universit\u00e4tsplatz 2, 39106 Magdeburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad","family":"Abuosba","sequence":"additional","affiliation":[{"name":"University of Applied Sciences HTW Berlin, Wilhelminenhofstra\u00dfe 75 A, 12459 Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4000-807X","authenticated-orcid":false,"given":"Joachim","family":"Sch\u00f6pfel","sequence":"additional","affiliation":[{"name":"GERiiCO-Labor, University of Lille, 59650 Villeneuve-d\u2019Ascq, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,6]]},"reference":[{"key":"ref_1","first-page":"12","article-title":"Data quality measures and data cleansing for research information systems","volume":"16","author":"Azeroual","year":"2018","journal-title":"J. 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