Abstract
Academic libraries have a large amount of primary and secondary data with academic content. These contents can be linked and supplemented with freely available data on the Internet and generate benefit for their customers. This includes, for example, the date for indexing of library holdings as well as customer data and their media usage for the development of new helpful services. Thus, methods and knowledge of Big Data applications are required. With the help of Big Data technologies, these added values can be created. However, this presupposes that the limitations and possibilities of Big Data technology are being taken into account and that correlations are accepted as sufficiently accurate. Especially classical librarians have to cut back on their accuracy requirements. This paper gives an overview of the possibilities and chances of using large data amounts in libraries, presents hypotheses and explains practical examples.
Highlights
The digitisation of our world is advancing relentlessly and a far-reaching and serious side effect of this transformation is the fact that humankind is producing ever more data
The market research company IDC envisages a data volume of over 160 zettabytes by the year 2025; it currently amounts to approximately 25 zettabytes
Researchers have been waiting in vain to be able to evaluate this wealth of data. It is currently unclear whether this will ever be the case as the Library of Congress (LoC) has been unable to render this Twitter archive publicly accessible far
Summary
The digitisation of our world is advancing relentlessly and a far-reaching and serious side effect of this transformation is the fact that humankind is producing ever more data. In the key indexing area of media and contents, they have clung to the accuracy paradigm of the cataloguing mindset of the 19th century to this day This renders it virtually impossible to even contemplate the new technology and methods of big data that have been used successfully in many sectors for a number of years now. The mental logic of a library user of the 21st century from Generation Y and Z is ousted just as much as the technical possibilities offered by big data and its algorithms today These days, academic libraries are confronted with an enormous amount of structured and unstructured data. Referencing, indexing and displaying these contents, can only succeed in keeping with the times if American Journal of Information Science and Technology 2019; 3(1): 1-9 state-of-the-art indexing techniques from the field of big data are used instead of library methods that follow the logic of the 19th century. The notion of library accuracy and a tragic argument by analogy on the duties from the past still lead to vast and detailed metadata being generated and the digital objects – like analogue books – being indexed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: American Journal of Information Science and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
