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Dataset of the adoption of digital tools for research sharing among academics in African Varsities during the COVID-19 pandemic in 2020.

Valentine Joseph OwanJennifer Uzoamaka Duruamaku-DimFrancisca Nonyelum OdigweMercy Valentine Owan
Published in: F1000Research (2022)
This dataset was collected from a total of 1,977 university lecturers across 24 African countries, that were purposively targeted due to their level of exposure to scholarly publications. The dataset was collected through an online survey that was sent to respondents through email, WhatsApp, and the Association of African Universities Telegram group. The questionnaire was designed by the researchers and validated by five experts for face and content validity. The demographic information of the data was analysed and the softcopy of the data uploaded to the Mendeley database for easy retrieval after deidentification (see Data Availability statement). The associated questionnaire can be found in the extended data. In Africa, this appears to be the broadest dataset associated with academics' perception of utilizing digital platforms for research sharing. This implies that scholars can use this dataset to quantitatively analyse the extent to which different internet-based platforms are being utilized for research communication. Considering the current restrictions on in-person social gatherings due to COVID-19, researchers working on related studies may readily utilize this set of data, saving time and cost. A comprehensive but non-exhaustive number of 20 online platforms were assessed based on academics' awareness and current engagement with them, and the challenges they have faced using them. This offers a wide range of areas for studies to be anchored. Furthermore, researchers interested in specific online platforms can also evaluate the extent to which academic staff in African universities are aware of and willing to utilize them for research dissemination. This data will enable scholars and researchers in Africa and beyond to understand the extent to which academics in varsities are willing to adopt digital repositories for research sharing in the context of Africa.
Keyphrases
  • electronic health record
  • health information
  • social media
  • big data
  • healthcare
  • cross sectional
  • coronavirus disease
  • sars cov
  • machine learning
  • medical students