You might have heard someone from @KBNLResearch mention DH Clinics, or a colleague at the libraries of the Vrije Universiteit or Universiteit Leiden, but what are they, why do we need them and who are they for?
The DH Clinics are our attempt of spreading the DH-word amongst our Dutch colleagues. We wanted to set up a community of librarians who were involved in DH, in order to learn from each other and discuss new methods and initiatives. However, we soon learned that a lot of academic libraries in the Netherlands were still thinking about DH and how to implement it in their organisations. We’re speaking early 2015 now and luckily, a lot has happened since, but we believe a small impulse is needed to speed everything along.
The Koninklijke Bibliotheek (KB), National Library of the Netherlands is seeking proposals for its Researcher-in-residence program to start in 2017. This program offers a chance to early career researchers to work in the library with the Digital Humanities team and KB data. In return, we learn how researchers use the data of the KB. Together we will address your research question in a 6 month project using the digital collections of the KB and computational techniques. The output of the project will be incorporated in the KB Research Lab and is ideally beneficial for a larger (scholarly) community.
Updated 04 June 2018
I don’t live or work in the Netherlands. Can I apply?
Probably! Contact us at email@example.com and we’ll discuss your options.
I want to use my own dataset. Is that possible?
Sure! As long as you also use one of the datasets of the KB and it doesn’t limit the publication of the project end results.
I don’t know how to code, is that a problem?
Not at all. We have skilled programmers who can help you with your project or we will try to find a match for you if you prefer someone else. This would mean submitting as a team and will cut the budget in half. Reach out to us to discuss the options.
This programme as detailed at the KB-website (“Programme”) is operated by the Koninklijke Bibliotheek, National Library of the Netherlands (“KB”), Prins Willem-Alexanderhof 5 (2509 LK) Den Haag, The Netherlands.
This week, the annual DHBenelux conference will take place in Belval, Luxembourg. It will bring together practically all DH scholars from Belgium (BE), the Netherlands (NE) and Luxembourg (LUX). You can read the full program and all abstracts on the website. Two presentations are by members of our DH team (Steven Claeyssens & Martijn Kleppe) and one presentation is by our current researcher in residence (Puck Wildschut – Radboud University Nijmegen). Please find the first paragraphs of their abstracts below:
Each year the KB invites two academics to come and work with us as researchers in residence: early career researchers who work in the library with our Digital Humanities team and KB Data. Together we address their research questions in a 6 month project using our digital collection and computational techniques. The output of the project will be incorporated in the KB Research Lab. Today we are happy to announce the output of the PhoCon project (‘Photos in and Out of Context’) by dr. Martijn Kleppe and dr. Desmond Elliott: the KBK-1M Dataset containing 1.6 Million Newspapers Images
Deze blogpost is geschreven door dr. Martijn Kleppe en is herblogt van www.martijnkleppe.nl (17 april 2015). Sinds publicatie zijn enkele zaken binnen het onderzoek aangepast. Binnenkort schrijft Martijn hierover een uitgebreidere, Engelstalige blog.
Sinds 1 april ben ik voor een half jaar ‘onderzoeker te gast’ op de onderzoeksafdeling van de Koninklijke Bibliotheek om te werken aan mijn project ‘FoCon – Foto’s in en uit context’. Het is een erg leuke kans omdat ik de ruimte krijg om de digitale kranten– en tijdschriftencollectie alsmede het webarchief van de KB te verkennen waarbij ik me vooral richt op het gepubliceerde beeldmateriaal.
This blog post was written by Adeline van den Berg and Lotte Wilms
On 8 and 9 June 2015, the second DH Benelux conference took place, bringing approx. 150 Digital Humanists together in the beautiful building of the University of Antwerp. Apart from great lunches, conversations and a poster reception alongside penguins and flamingos, a few things stood out for us. Below we sum up what we think were common threads, with the help of some tweets.
This post is written by Dr. Jiyin He – Researcher-in-residence at the KB Research Lab from June – October 2014.
Being able to study primary sources is pivotal to the work of historians. Today’s mass digitisation of historical records such as books, newspapers, and pamphlets now provides researchers with the opportunity to study an unprecedented amount of material without the need for physical access to archives. Access to this material is provided through search systems, however, the effectiveness of such systems seems to lag behind the major web search engines. Some of the things that make web search engines so effective are redundancy of information, that popular material is often considered relevant material, and that the preferences of other users may be used to determine what you would find relevant. These properties do not hold or are unavailable for collections of historical material. In the past 3 months I have worked at the KB as a guest researcher. Together with Dr. Samuël Kruizinga, a historian, we explored how we can enhance the search system at KB to assist the search challenges of the historian. In this blogpost, I will share our experience of working together, the system we have developed, as well as lessons learnt during this project.
At DH2013, we presented a poster to ask researchers what they need from a National Library. The responses varied from ‘Nothing, just give us your data’ to ‘We’d like to be fully supported with tools and services’, showing once again that different users have different requirements. In order to accommodate all groups of researchers, the Collections department of the KB, who ‘own’ the data, and the Research department, where tools and services are developed, combined efforts and spoke to scholars to discuss the best method of supporting their work. However, we noticed that it was still quite difficult to get a good idea of how they used our data and in what way our actions and decisions would benefit them. Also, it seemed that researchers were often not aware of what activities the we undertake in this respect, which led to work being done twice.