Responsible Operations: Data Science, Machine Learning, and AI in Libraries

Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other organizations.

This research agenda presents an interdependent set of technical, organizational, and social challenges to be addressed en route to library operationalization of data science, machine learning, and AI.

Challenges are organized across seven areas of investigation:

  1. Committing to Responsible Operations
  2. Description and Discovery
  3. Shared Methods and Data
  4. Machine-Actionable Collections
  5. Workforce Development
  6. Data Science Services
  7. Sustaining Interprofessional and Interdisciplinary Collaboration

Organizations can use Responsible Operations to make a case for addressing challenges, and the recommendations provide an excellent starting place for discussion and action.

https://www.oclc.org/research/publications/2019/oclcresearch-responsible-operations-data-science-machine-learning-ai.html
by Thomas Padilla

Padilla, Thomas. 2019. Responsible Operations: Data Science, Machine Learning, and AI in Libraries. Dublin, OH: OCLC Research. https://doi.org/10.25333/xk7z-9g97.

Author: Abhishek Srivastava

Abhishek Srivastava is the Enterprise Architect at OCLC Online Computer Library Center, where he works on defining companywide strategy, governance and architecture with other application, infrastructure and domain architects. He has over 19 years of software development and architecture experience, including serving as lead architect on several major projects. He specialized in data architecture, SOA, integration, and delivery of large distributed systems. Abhishek's professional interests are data management, data governance, cloud computing, integration architecture and Big data. He holds an MBA from Mccombs Business School and an engineering degree from IIT Roorkee. Abhishek blogs about Data and architecture at dataisles.com. He can be reached at abhi@dataisles.com.

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