|
[1]
|
Lynch, C.A. (2019) Machine Learning, Archives and Special Collections: A High Level View. ICA Blog, International Council on Archives.
https://blog-ica.org/2019/10/02/machine-learning-archives-and-special-collections-a-high-level-view/
|
|
[2]
|
Bogost, I. (2017) Artificial Intelligence Has Become Meaningless. The Atlantic.
https://www.theatlantic.com/technology/archive/2017/03/what-is-artificial Intelligence/518547/
|
|
[3]
|
Rubin, V.L., Chen, Y. and Thorimbert, L.M. (2010) Artificially Intelligent Conversational Agents in Libraries. Library Hi Tech, 28, 496-522. [Google Scholar] [CrossRef]
|
|
[4]
|
McKenzie, L. (2018, January 17) A New Home for AI: The Library. Inside Higher Ed.
https://www.insidehighered.com/news/2018/01/17/rhode-island-hopes-putting-artificialintelligence-lab-library-will-expand-ais-reach
|
|
[5]
|
Select Committee on Artificial Intelligence of the National Science & Technology Council (2019) The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update. Networking and Information Technology Research and Development Program (NITRD), Washington DC.
https://www.nitrd.gov/pubs/National-AI-RD-Strategy-2019.pdf
|
|
[6]
|
Plantin, J.-C., Lagoze, C. and Edwards, P.N. (2018) Re-Integrating Scholarly Infrastructure: The Ambiguous Role of Data Sharing Platforms. Big Data & Society, 5, 1-14. [Google Scholar] [CrossRef]
|
|
[7]
|
Mons, B. (2019) FAIR Science for Social Machines: Lets Share Metadata Know Lets in the Internet of FAIR Data and Services. Data Intelligence, 1, 22-42. [Google Scholar] [CrossRef]
|
|
[8]
|
Xie, Z., Chen, Y., Speer, J., Walters, T., Tarazaga, P.A. and Kasarda, M. (2015) Towards Use and Reuse Driven Big Data Management. JCDL ‘15: Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries, Knoxville, 21-25 June 2015, 65-74. [Google Scholar] [CrossRef]
|
|
[9]
|
Burton, M., Lyon, L., Erdmann, C. and Tijerina, B. (2018) Shifting to Data Savvy: The Future of Data Science in Libraries. University of Pittsburgh, Pittsburgh. http://d-scholarship.pitt.edu/33891/
|
|
[10]
|
Dempsey, L. (2016) Library Collections in the Life of the User: Two Di-rections. LIBER Quarterly, 26, 338-359. [Google Scholar] [CrossRef]
|
|
[11]
|
Cooper, D. and Springer, R. (2019) Data Communities: A New Model for Supporting STEM Data Sharing. Ithaka S+R, New York. [Google Scholar] [CrossRef]
|
|
[12]
|
Cox, A.M., Pinfield, S. and Rutter, S. (2019) The Intelligent Library: Thought Leaders’ Views on the Likely Impact of Artificial In-telligence on Academic Libraries. Library Hi Tech, 37, 418-435. [Google Scholar] [CrossRef]
|
|
[13]
|
Akeroyd, J. (2017) Discovery Systems: Are They Now the Li-brary? Learned Publishing, 30, 87-89. [Google Scholar] [CrossRef]
|
|
[14]
|
Snydman, S., Sanderson, R. and Cramer, T. (2015) The International Image Interoperability Framework (IIIF): A Community & Technology Approach for Web-Based Images. Archiving Confer-ence, 16-21.
|
|
[15]
|
Dempsey, L. (2012) Libraries and the Informational Future: Some Notes. Information Services & Use, 32, 203-214. [Google Scholar] [CrossRef]
|
|
[16]
|
Schonfeld, R.C. (2014) Does Discovery Still Happen in the Library? Roles and Strategies for a Shifting Reality. Ithaka S+R (Blog).
https://sr.ithaka.org/blog/doesdiscovery-still-happen-in-the-library-roles-and-strategies-fora-shifting-reality/
|
|
[17]
|
Wilkinson, M.D., Dumontier, M., Jan Aalbersberg, I., Appleton, G., Axton, M., Baak, A., et al. (2016) The FAIR Guiding Principles for Scientific Data Management and Stewardship. Scientific Data, 3, Article No. 160018.
|
|
[18]
|
Bell, M., Green, A., Sheridan, J., Collomosse, J., Cooper, D., Bui, T., et al. (2019) Underscoring Archival Authenticity with Blockchain Technology. Insights, 32, 21. [Google Scholar] [CrossRef]
|
|
[19]
|
Rieger, O.Y. (2018) The State of Digital Preservation in 2018: A Snapshot of Challenges and Gaps. Ithaka S+R, New York. [Google Scholar] [CrossRef]
|
|
[20]
|
Mandel, C.A. (2019, September) Can We Do More? An Examination of Potential Roles, Contributors, Incentives, and Frameworks to Sustain Large Scale Digital Preservation. Council on Li-brary and information Resources, Arlington.
https://clir-dlf.app.box.com/s/31tc6nrua3cj8jjwoymee78gl3plzlo2
|
|
[21]
|
Xie, Z. and Fox, E.A. (2017) Advancing Library Cyberinfrastructure for Big Data Sharing and Reuse. Information Services & Use, 37, 319-323. [Google Scholar] [CrossRef]
|
|
[22]
|
Borgman, C.L. (2019) Whose Text, Whose Mining, and to Whose Bene-fit? Quantitative Social Sciences, 1, 993-1000.
https://escholarship.org/uc/item/3682b9j6 [Google Scholar] [CrossRef]
|
|
[23]
|
Padilla, T., et al. (2019) Final Report—Always Already Computa-tional: Collections as Data.
|
|
[24]
|
Carlson, J.R. and Garritano, J.R. (2010) E-Science, Cyberinfrastructure and the Chang-ing Face of Scholarship:Organizing for New Models of Research Support Atthe Purdue University Libraries. In: Walter, S. and Williams, K., Eds., The Expert Library: Staffing, Sustaining, and Advancing the Academic Library in the 21st Century, Association of College and Research Libraries, Chicago, 234-269. https://docs.lib.purdue.edu/lib_research/137/
|
|
[25]
|
Lippincott, S. (2021) Mapping the Current Landscape of Re-search Library Engagement with Emerging Technologies in Research and Learning Final Report. Association of Research Libraries, Washington.
https://www.arl.org/wp-content/uploads/2021/04/2021.04.09-emerging-technologies-final-report.pdf [Google Scholar] [CrossRef]
|