Crowdsourcing metrics of digital collections

Authors

  • Tuula Pääkkönen National Library of Finland

DOI:

https://doi.org/10.18352/lq.10090

Keywords:

digitized collections, crowdsourcing, metrics, monitoring

Abstract

In the National Library of Finland (NLF) there are millions of digitized newspaper and journal pages, which are openly available via the public website  http://digi.kansalliskirjasto.fi. To serve users better, last year the front end was completely overhauled with its main aim in crowdsourcing features, e.g., by giving end-users the opportunity to create digital clippings and a personal scrapbook from the digital collections. But how can you know whether crowdsourcing has had an impact? How much crowdsourcing functionalities have been used so far? Did crowdsourcing work? In this paper the statistics and metrics of a recent crowdsourcing effort are analysed across the different digitized material types (newspapers, journals, ephemera). The subjects, categories and keywords given by the users are analysed to see which topics are the most appealing. Some notable public uses of the crowdsourced article clippings are highlighted. These metrics give us indications on how the end-users, based on their own interests, are investigating and using the digital collections. Therefore, the suggested metrics illustrate the versatility of the information needs of the users, varying from citizen science to research purposes. By analysing the user patterns, we can respond to the new needs of the users by making minor changes to accommodate the most active participants, while still making the service more approachable for those who are trying out the functionalities for the first time. Participation in the clippings and annotations can enrich the materials in unexpected ways and can possibly pave the way for opportunities of using crowdsourcing more also in research contexts. This creates more opportunities for the goals of open science since source data becomes ­available, making it possible for researchers to reach out to the general public for help. In the long term, utilizing, for example, text mining methods can allow these different end-user segments to achieve more. Based on our current initial experiences, we feel that crowdsourcing gives an opportunity for a library context to get closer to the user base and to obtain insight into the numerous opportunities, which the digitized content provides for them and for the library. Gathering the first prototype qualitative and quantitative metrics for this particular crowdsourcing case gives information on how to further improve both the service and the metrics so that they can give valid information for decision-making.

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Author Biography

Tuula Pääkkönen, National Library of Finland

Tuula Pääkkönen works in National Library of Finland at Centre for Preservation  and Digitisation as Information Systems Specialist. Her work includes the development of some of the tools to support digitisation efforts, technical specification and project work for the http://digi.kansalliskirjasto.fi -service. She is also the part of a digital humanities research team at the Centre. Before NLF she has worked in the industry for over sixteen years in all kinds of information systems concepting, specifiying and development work.

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Published

2015-12-04

How to Cite

Pääkkönen, T. (2015). Crowdsourcing metrics of digital collections. LIBER Quarterly: The Journal of the Association of European Research Libraries, 25(2), 41–55. https://doi.org/10.18352/lq.10090

Issue

Section

Articles
Received 2015-07-22
Published 2015-12-04