"Introducing the FAIR Principles for Research Software"

The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.


| Research Data Publication and Citation Bibliography | Research Data Sharing and Reuse Bibliography | Research Data Curation and Management Bibliography | Digital Scholarship |

It’s Déjà VU All over Again: Artificial Intelligence in Libraries

No doubt you have noticed the increasing number of articles that talk about AI and libraries. You might be tempted to think that this is a new idea. You would be wrong. Gaining stream in the mid-1980s, peaking around 1990, and declining significantly by the late 1990s, libraries experimented with the application of expert systems in a number of functional areas, including abstracting, acquisitions, cataloging, collection development, document delivery, indexing, bibliographic search, and reference.

An expert system is: "a computer system emulating the decision-making ability of a human expert." During the period in question, they were typically developed by libraries using expert system shells. Less frequently, an AI programming language, such as Prolog, was used.

Sharon Manel De Silva’s "A Review of Expert Systems in Library and Information Science" (1977) surveys over 400 papers on this topic.

An example of expert system development during this period was the University of Houston Libraries’ Intelligent Reference Information System project, which produced the Index Expert (expert system shell) and the Reference Expert (Prolog) systems. Reference Expert’s open source code was distributed at no charge to over 500 libraries at their request. The project also conducted a survey of ARL libraries’ expert system activity, which was published as a SPEC Kit.

Academic Library as Scholarly Publisher Bibliography, Version 2 | Digital Scholarship | Digital Scholarship Sitemap

"Open Data Products—a Framework for Creating Valuable Analysis Ready Data"


Electronic Theses and Dissertations Bibliography, Version 7 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap