Bridging the Gap between the National Library and Researchers

This poster describes the KB Researcher-in-residence programme, the first three pilot placements of 2014 and our lessons learned

Cultural Heritage Image Sharing Recommendations Report

Deliverable 13.2 for the WorldFAIR Project’s Cultural Heritage Work Package (WP13). Although the cultural heritage sector has only recently begun to think of traditional gallery, library, archival and museum (‘GLAM’) collections as data, long established practices guiding the management and sharing of information resources has aligned the domain well with the FAIR principles for research data, evidenced in complementary workflows and standards that support discovery, access, reuse, and persistence. As explored in the previous report by Work Package 13 for the WorldFAIR Project, D13.1 Practices and policies supporting cultural heritage image sharing platforms, memory institutions are in an important position to influence cross-domain data sharing practices and raise critical questions about why and how those practices are implemented. Deliverable 13.2 aims to build on our understanding of what it means to support FAIR in the sharing of image data derived from GLAM collections. This report looks at previous efforts by the sector towards FAIR alignment and presents 5 recommendations designed to be implemented and tested at the DRI that are also broadly applicable to the work of the GLAMs. The recommendations are ultimately a roadmap for the Digital Repository of Ireland (DRI) to follow in improving repository services, as well as a call for continued dialogue around ‘what is FAIR?’ within the cultural heritage research data landscape. Visit WorldFAIR online at http://worldfair-project.eu. WorldFAIR is funded by the EC HORIZON-WIDERA-2021-ERA-01-41 Coordination and Support Action under Grant Agreement No. 101058393

Datasheets for Digital Cultural Heritage Datasets

Sparked by issues of quality and lack of proper documentation for datasets, the machine learning community has begun developing standardised processes for establishing datasheets for machine learning datasets, with the intent to provide context and information on provenance, purposes, composition, the collection process, recommended uses or societal biases reflected in training datasets. This approach fits well with practices and procedures established in GLAM institutions, such as establishing collections’ descriptions. However, digital cultural heritage datasets are marked by specific characteristics. They are often the product of multiple layers of selection; they may have been created for different purposes than establishing a statistical sample according to a specific research question; they change over time and are heterogeneous. Punctuated by a series of recommendations to create datasheets for digital cultural heritage, the paper addresses the scope and characteristics of digital cultural heritage datasets; possible metrics and measures; lessons from concepts similar to datasheets and/or established workflows in the cultural heritage sector. This paper includes a proposal for a datasheet template that has been adapted for use in cultural heritage institutions, and which proposes to incorporate information on the motivation and selection criteria, digitisation pipeline, data provenance, the use of linked open data, and version information

Als machines beginnen te lezen

Aan het begin van de eenentwintigste eeuw is de mens oorzaak en getuige van een nieuwe leesrevolutie, een leesrevolutie waarbij teksten vaker door algoritmes dan door mensen worden gelezen. Als we aannemen dat deze tweede leesrevolutie een gelijkaardig verloop kent als de eerste, toen intensief lezen naar de zijlijn werd geduwd door extensief lezen, dan is het aannemelijk dat de mens het lezen meer en meer zal overlaten aan de machine

Digital Scholarship at the Koninklijke Bibliotheek

The National Library of the Netherlands (KB) is an active partner in national and international cooperative efforts to develop new knowledge and technology. With this poster, we wish to showcase what the KB can offer researchers in the field of Digital Humanities. We will present our digitised data sets, current research projects and the services of the KB Research Lab that was launched at DHBenelux 2014. The KB has planned to have digitised and OCRed its entire collection of books, periodicals and newspapers from 1470 onward by the year 2030. Already in 2013, 10% of this enormous task was completed, resulting in 73 million digitised pages, either from the KB itself or via public-private partnerships as Google Books and ProQuest. Over 1 million books, newspapers and magazines are currently available via the search portal www.delpher.nl. Next to this, most of these data sets are freely available for research purposes and we welcome and encourage experiments and new applications. The virtual KB Research Lab shows some of such applications and invites researchers to experiment with our data, new technologies and innovative prototypes. The KB also collaborates with researchers in research projects or (junior) fellowships to learn from their research in order to improve the services we provide for Digital Humanists. This poster will present the various data sets that the KB has available for research, the activities we undertake to work together with scholars in research projects and the services that we offer those who wish to work with our material

ADHO Libraries and Digital Humanities SIG Pre-conference: Libraries as Research Partners in Digital Humanities

Abstract of paper 1096 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019

ADHO Libraries and Digital Humanities SIG Pre-conference: Libraries as Research Partners in Digital Humanities

Abstract of paper 1096 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019