Netherlands Institute for War, Holocaust and Genocide Studies

NIOD’s digital agenda is driven by two guiding principles:

  1. Research questions and needs of researchers and other users are leading in the development of and participation in projects.
  2. Digital methods and techniques are an important addition to analogue methods and techniques.

Connecting digital collections and making them available

NIOD aims to develop innovative infrastructures in cooperation with relevant national and international partners that serve the community of researchers and other users. In 2015 EHRI (European Holocaust Research Infrastructure) started an ambitious, new four-year program, coordinated by NIOD. Within EHRI several disciplines work closely together in the development of an innovative research infrastructure for Holocaust research. EHRI aims to sustain its results after the lifetime of the current project (in 2019).

In addition, NIOD has developed a programmaplan Netwerk Oorlogsbronnen (NOB) (Program Plan for Networked War Documentation). The program aims to enhance digital access to distributed World War II collections and to develop basic services enabling intermediaries such as teachers, researchers and museum staff to improve their information provision about the history of the Second World War.

Digital methods and techniques for research

In 2015 e-humanities projects were developed and several smaller projects have started or were completed. In addition, an increasing number of regular research projects have a digital component. NIOD considers it very important to embed digital methods and techniques in existing research practices.

In the next few years NIOD will continue to develop digital methods and techniques, among others in the framework of EHRI, that can be used for research with digital datasets.


NIOD Instituut voor Oorlogs-, Holocaust en Genocide Studies

Herengracht 380
1016 CJ Amsterdam

Tel. 020 5233840 or 06 51074860

Central Themes

  • Collections/research infrastructures
  • Crowd sourcing
  • Digging into data

Relevant links