(Non-) Involvement in Terrorist Violence Dataset (NITV)

This dataset describes 206 individuals who radicalised to extremism. Exactly half of the sample (N=103) radicalised to right-wing extremism, and half to jihadism. The sample is also split 50/50 in terms of the outcome of these radicalization processes: 103 individuals became involved in the planning, preparation or execution of terrorist attacks, the other 103 did not. The purpose of our dataset was to gain insights into what variables influence these outcome differences. To that end, we used a codebook to look at structural, group and individual-level variables theorised to influence the onset and outcome of radicalization processes. The dataset describes individuals from Europe and North-America (Canada / US) with an average date of birth of 1980. Data on our population was gathered from a range of sources, such as secondary literature (e.g. academic publications, think-tank reports), journalistic accounts, court records, (auto)biographies and, where possible, privileged information drawn from semi-structured interviews and material provided by the Dutch public prosecution service. To ensure their privacy and security, all personally-identifying information has been rigorously removed. This means that no data on names, exact dates of birth, places of residence etc. is included in the dataset. All interviewees were asked to sign consent forms and the project went through formal ethics approval by Leiden University's Faculty of Governance and Global Affairs (FGGA) Ethics Committee (ref: 2019-012-ISGA-Schuurman) before it commenced.