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Data science: Developing data-savvy librarians for effective research data management.

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Title: Data science: Developing data-savvy librarians for effective research data management.
Authors: Adekoya, Clement Ola1 (AUTHOR) myclem10@gmail.com, Nkemdilim, Ideh Peace2 (AUTHOR), Ejovwokoghene, Eserada Rachael2 (AUTHOR), Olajide, Olabode1 (AUTHOR), Omolehin, James Rotimi1 (AUTHOR)
Source: Reference Librarian. Jan-Jun2025, Vol. 66 Issue 1/2, p48-64. 17p.
Subject Terms: *Universities & colleges, Library conferences, Public librarians, Data management, Data science, Mentoring
Geographic Terms: Nigeria
Abstract: This study investigates the development of data-savvy librarians for effective research data management (RDM) in the era of data science. A questionnaire was used to collect data from librarians in public higher educational institutions in Ekiti, Ondo, and Osun States, Nigeria for the descriptive study in 2020. Descriptive statistical tools were used to analyze the data collected. It was found that the extent of RDM service among data librarians is low. A moderate extent of the skills gap and a high extent of the management gap in data science were found among the librarians. The study found mentoring, industry experience, and workshop and seminar attendance as the approaches to developing data-savvy librarians. It was recommended that there should be institutional arrangements to send librarians to conferences, workshops, and data-savvy training to improve the proficiencies of the librarians in RDM. [ABSTRACT FROM AUTHOR]
Copyright of Reference Librarian is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Data science: Developing data-savvy librarians for effective research data management.
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  Data: <searchLink fieldCode="AR" term="%22Adekoya%2C+Clement+Ola%22">Adekoya, Clement Ola</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> myclem10@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Nkemdilim%2C+Ideh+Peace%22">Nkemdilim, Ideh Peace</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ejovwokoghene%2C+Eserada+Rachael%22">Ejovwokoghene, Eserada Rachael</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Olajide%2C+Olabode%22">Olajide, Olabode</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Omolehin%2C+James+Rotimi%22">Omolehin, James Rotimi</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Reference+Librarian%22">Reference Librarian</searchLink>. Jan-Jun2025, Vol. 66 Issue 1/2, p48-64. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Universities+%26+colleges%22">Universities & colleges</searchLink><br /><searchLink fieldCode="DE" term="%22Library+conferences%22">Library conferences</searchLink><br /><searchLink fieldCode="DE" term="%22Public+librarians%22">Public librarians</searchLink><br /><searchLink fieldCode="DE" term="%22Data+management%22">Data management</searchLink><br /><searchLink fieldCode="DE" term="%22Data+science%22">Data science</searchLink><br /><searchLink fieldCode="DE" term="%22Mentoring%22">Mentoring</searchLink>
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  Data: This study investigates the development of data-savvy librarians for effective research data management (RDM) in the era of data science. A questionnaire was used to collect data from librarians in public higher educational institutions in Ekiti, Ondo, and Osun States, Nigeria for the descriptive study in 2020. Descriptive statistical tools were used to analyze the data collected. It was found that the extent of RDM service among data librarians is low. A moderate extent of the skills gap and a high extent of the management gap in data science were found among the librarians. The study found mentoring, industry experience, and workshop and seminar attendance as the approaches to developing data-savvy librarians. It was recommended that there should be institutional arrangements to send librarians to conferences, workshops, and data-savvy training to improve the proficiencies of the librarians in RDM. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Reference Librarian is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/02763877.2025.2482086
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        Text: English
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        Type: general
      – SubjectFull: Library conferences
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      – SubjectFull: Public librarians
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      – SubjectFull: Data management
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      – SubjectFull: Data science
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      – SubjectFull: Mentoring
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      – SubjectFull: Nigeria
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              Text: Jan-Jun2025
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              Y: 2025
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