References - HackMD

--- tags: liber-dslib --- # References Also see our Zotero library: https://www.zotero.org/groups/4344603/liber_dslib ## Literature ### Roles of libraries in the TDM landscape - McNeice, Kiera. (2017). Roadmap for increasing uptake of TDM. Zenodo. https://doi.org/10.5281/zenodo.1240836 - Oudenhoven, M. On the role of a university library in the TDM landscape. LIBER Blog, 2 June 2017. https://libereurope.eu/blog/2017/06/02/on-the-role-of-a-university-library-in-the-tdm-landscape/ - White, B., Fenlon, A., & I. van Nieuwerburgh. (2020, March). LIBER Webinar: How Can Libraries Support Text & Data Mining?. Zenodo. http://doi.org/10.5281/zenodo.3707605 - White, B. (2020). Research Libraries: How You Can Support Text and Data Mining. http://doi.org/10.5281/zenodo.3801114 ### Collections as Data - Cordell, R. (2020). Machine Learning + Libraries: A Report on the State of the Field. Report commissioned by Library of Congress Labs. Available at: https://labs.loc.gov/static/labs/work/reports/Cordell-LOC-ML-report.pdf - Generating Metadata With AI – Experience of the National Library of the Netherlands, LIBER Webinar, 8 November 2019, https://libereurope.eu/blog/2019/11/08/webinar-video-generating-metadata-with-ai-experience-of-the-national-library-of-the-netherlands/ - Kleppe, Martijn. (2019, November). LIBER Webinar: Generating Metadata With AI - Experience of the National Library of the Netherlands. Zenodo. http://doi.org/10.5281/zenodo.3532644 - Martijn Kleppe, Sara Veldhoen, Meta van der Waal-Gentenaar, Brigitte den Oudsten, & Dorien Haagsma. (2019, August 23). Exploration possibilities Automated Generation of Metadata. Zenodo. http://doi.org/10.5281/zenodo.3375192 - Padilla, T., Allen, L., Frost, H., Potvin, Sarah, Russey Roke, E., & Varner, S. (2019). Final Report - Always Already Computational: Collections as Data. http://doi.org/10.5281/zenodo.3152935 - Library Technology Reports (vol. 55, no. 1). Artificial Intelligence and Machine Learning in Libraries. Edited by Jason Griffey. https://doi.org/10.5860/ltr.55n1 - McGillivray, Barbara et al. (2020). The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute. Figshare. https://dx.doi.org/10.6084/m9.figshare.12732164 - Smith, D., & Cordell, R. (2018). A Research Agenda for Historical and Multilingual Optical Character Recognition. Northeastern University. http://hdl.handle.net/2047/D20297452 ### Robotics & AI - Kim, Bohyun (2019). AI-Powered Robots for Libraries: Exploratory Questions. Paper presented at: IFLA WLIC 2019 - Athens, Greece - Libraries: dialogue for change in Session S08 - Information Technology. In: Robots in libraries: challenge or opportunity?, 21-22 August 2019, Wildau, Germany. Available at: http://library.ifla.org/2700/1/s08-2019-kim-en.pdf - Martinez-Martin, Ester; Recatala, Gabriel; and Angel P. del Pobil (2019). Paper presented at: IFLA WLIC 2019 - Athens, Greece - Libraries: dialogue for change in Session S08 - Information Technology. In: Robots in libraries: challenge or opportunity?, 21-22 August 2019, Wildau, Germany. Available at: http://library.ifla.org/2696/1/s08-2019-martinez-martin-en.pdf - LIBER Memo on AI & Scholary Communications: [pdf not shared until we confirm it's okay to do so] ### Strategic and ethical aspects, workforce development - Padilla, T. (2019, December 8). Responsible Operations: Data Science, Machine Learning, and AI in Libraries. Retrieved 13 December 2019, from OCLC website: https://www.oclc.org/research/publications/2019/oclcresearch-responsible-operations-data-science-machine-learning-ai.html - Burton, M., Lyon, L., Erdmann, C., & Tijerina, B. (2018). Shifting to Data Savvy: The Future of Data Science In Libraries [Monograph]. Retrieved 30 March 2018, from http://d-scholarship.pitt.edu/33891/ - Federer, L., Clarke, S. C., & Zaringhalam, M. (2020, January 16). Developing the Librarian Workforce for Data Science and Open Science. https://doi.org/10.31219/osf.io/uycax - Lynch, Clifford (2019, October 2). Machine Learning, Archives and Special Collections: A high level view. International Council on Archives (ICA) blog. Retrieved 2 February 2020, from: https://blog-ica.org/2019/10/02/machine-learning-archives-and-special-collections-a-high-level-view/ ### Other - White Paper on Artificial Intelligence: A European approach to excellence and trust (COM(2020) 65 Final, p. 26). (2020). [Text]. European Commission. https://ec.europa.eu/info/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en - Tasovac, T., Chambers, S., & Tóth-Czifra, E. (2020). Cultural Heritage Data from a Humanities Research Perspective: A DARIAH Position Paper. https://hal.archives-ouvertes.fr/hal-02961317 ## Resources - WG Planning Doc w/ Topical Areas & Literature: [link redacted until Neha confirms it's okay to share] ### Example Case Studies - LIBER Digital Skills Working Group: Case Studies on Open Science Skilling and Training Initiatives in Europe. http://doi.org/10.5281/zenodo.3251731 - LIBER RDM Case Studies (2014): https://libereurope.eu/research-data-management-case-studies/ - LIBER RDM Case Studies (2019): https://libereurope.eu/article/two-new-liber-case-studies-on-research-data-management-support-released/ ### Example Landscape Analyses - Europe's Digital Humanities Landscape: A Study From LIBER's Digital Humanities & Digital Cultural Heritage Working Group. http://doi.org/10.5281/zenodo.3247286 ### Example 2-page briefing document - Implementing FAIR Data Principles: The Role of Libraries. https://libereurope.eu/wp-content/uploads/2020/09/LIBER-FAIR-Data.pdf ### Relevant projects and initiatives - EuropeanaTech AI for GLAMs Task Force (Dec 2019 - Jan 2021), https://pro.europeana.eu/project/ai-in-relation-to-glams - Library of Congress, ML and Libraries activities (event, report, etc.), https://blogs.loc.gov/thesignal/2020/07/machine-learning-libraries-a-report-on-the-state-of-the-field/ - FutureTDM, EU project (09/2015-08/2017), http://project.futuretdm.eu/ - OpenMinTed, EU project (06/2015-05/2018), http://openminted.eu/ - Collections as Data, https://collectionsasdata.github.io/ - Collections as Data: Part to Whole, https://collectionsasdata.github.io/part2whole/ - Living with Machines, Alan Turing Institute, British Library, https://www.turing.ac.uk/research/research-projects/living-machines - The Carpentries, https://carpentries.org/ - rOpenSci, https://ropensci.org/ ### Institutional service websites - University of Leiden, Center for Digital Scholarship, https://www.library.universiteitleiden.nl/research-and-publishing/text--data-mining - Text Mining at Penn Libraries, https://guides.library.upenn.edu/penntdm - UL Chicago, Libguide, http://guides.lib.uchicago.edu/textmining - JSTOR TDM support, https://about.jstor.org/whats-in-jstor/text-mining-support/ - TDM at MIT, https://libraries.mit.edu/scholarly/publishing/text-and-data-mining-at-mit/ - MIT API guide, https://libraries.mit.edu/scholarly/publishing/apis-for-scholarly-resources/ - Hathi Trust Research Center, https://www.hathitrust.org/htrc - British Library, Digital Scholarship, https://www.bl.uk/subjects/digital-scholarship - Utrecht University, Special Interest Group TDM, https://www.uu.nl/en/research/applied-data-science/special-interest-group-text-mining - University of Cambridge, https://libguides.cam.ac.uk/tdm