Emerging technologies like artificial intelligence (AI) and generative AI are influencing and impacting scholarly publications. When considering how these tools are developed, it seems that they are giving rise to more pervasive data literacy among scholarly professionals. This interesting topic came to us from The Scholarly Kitchen in their article, “Guest Post — Digital Humanities, Data Literacy Skills and AI: Understanding the Way Things Work.”
Emerging technologies rely heavily on data for their functioning. Data literacy is crucial for individuals who work with these technologies with respect both to inputs and outputs.
Many emerging technologies enable data-driven decision-making. Data literacy empowers individuals to collect, clean, and preprocess data for use in these technologies, improving the accuracy and reliability of their results.
Metadata makes digital content findable. Findability, however, only works when a proper taxonomy is in place. Proper indexing against a strong, standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
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