Contents
Open Research across Disciplines
How the principles of open research can be applied to your disciplineCriminology
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Examples of open research practices
Open Data: Matthew Ashby has been involved in multiple projects over the years aimed at facilitating and enabling open access to crime data for researchers, students, and the public. The Crime Open Database (CODE) compiles crime data recorded in 21 out of the 50 largest cities in the United States, including New York, Los Angeles, Chicago, San Francisco, and Austin, making it openly available through the Open Science Framework (https://osf.io/zyaqn/). In 2023, he also launched ‘crimemappingdata’, an R package containing multiple datasets for analysing geographic variations in crime (see https://pkgs.lesscrime.info/crimemappingdata), including crime data recorded in Global South countries such as Mexico, Czechia, Colombia, or Malaysia.
Open Methods: Stijn Ruiter, Samuel Langton, Tim Verlaan, and other researchers at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) utilise preregistrations in their daily research activities. A preregistration document outlines your research plan in advance of conducting the study itself (See UKRN primer on pre-registration). Preregistration documents have been used by the NSCR team for confirmatory hypothesis testing (e.g., https://osf.io/ex7ga) but also scoping reviews (e.g., https://osf.io/8qack) and exploratory descriptive studies (https://osf.io/vhsq5).
Open Methods: In 2019, Iain Brennan and Jacki Tapley set out to estimate the effect of police domestic abuse awareness training on arrests for coercive and controlling behaviour. Prior to collecting data, the team pre-registered their hypotheses on OSF (https://osf.io/vx789/) along with power simulations, their proposed data collection methods and their statistical analysis plan. The data was collected via Freedom of Information requests to all police forces in England and Wales, and made available on the project’s OSF site. The code underlying the subsequent analysis was also added to the OSF site. The study manuscript, including a detailed description of the deviation from the original statistical analysis plan was published on SocArxiv (https://osf.io/preprints/socarxiv/d428k) and later published in Policing & Society (https://doi.org/10.1080/10439463.2020.1862838).
Open Outputs: CrimRxiv is the leading global open-access hub in Criminology, promoting the exchange of knowledge among criminological scholars worldwide. Established in 2020, CrimRxiv has played a crucial role in encouraging the publication of postprints, versions of record, working papers, and preprints through its dedicated online repository (https://www.crimrxiv.com/). As the first and only open-access repository exclusively focused on criminology, CrimRxiv is dedicated to improving research transparency and accountability, thereby aiding evidence-based decision-making across government, nonprofit, and industry sectors. CrimRxiv aims to foster a more diverse, equitable, and inclusive research environment in criminology. CrimRxiv was first launched by Prof Scott Jacques at Georgia State University, and has recently found its new home at The University of Manchester.
Resources
General Resources
Framing the problem:
- Chin, J.M., Pickett, J.T., Vazire, S., & Holcombe, A.O. (2023). Questionable Research Practices and Open Science in Quantitative Criminology. Journal of Quantitative Criminology, 39, 21-51. https://doi.org/10.1007/s10940-021-09525-6
- Farrington, D.P., Lösel, F., Boruch, R.F., Gottfredson, D.C., Mazerolle, L., Sherman, L.W., & Weisburd, D. (2019). Advancing knowledge about replication in criminology. Journal of Experimental Criminology, 15, 373-396. https://doi.org/10.1007/s11292-018-9337-3
- Greenspan, R.L., Baggett, L. & B. Boutwell, B. (2024). Open science practices in criminology and criminal justice journals. Journal of Experimental Criminology. https://doi.org/10.1007/s11292-024-09640-x
- Lösel, F. (2018). Evidence comes by replication, but needs differentiation: the reproducibility issue in science and its relevance for criminology. Journal of Experimental Criminology, 14, 257–278. https://doi.org/10.1007/s11292-017-9297-z
- McNeeley, S., & Warner, J.J. (2015). Replication in criminology: A necessary practice. European Journal of Criminology, 12(5), 581-597. https://doi.org/10.1177/1477370815578197
- Pridemore, W.A., Makel, M.C., & Plucker, J.A. (2018). Replication in Criminology and the Social Sciences. Annual Review of Criminology, 1, 19-38. https://doi.org/10.1146/annurev-criminol-032317-091849
- Savolainen, J., & Van Eseltine, M. (2018). Replication and Research Integrity in Criminology: Introduction to the Special Issue. Journal of Contemporary Criminal Justice, 34(3), 236-244. https://doi.org/10.1177/1043986218777288
- European Network for Open Criminology. https://esc-enoc.github.io/
Open Methods
R packages to analyse crime data:
- Adepeju, M. (2023). “stppSim”: A Novel Analytical Tool for Creating Synthetic Spatio-Temporal Point Data. Open Journal of Modelling and Simulation, 11, 99-116. https://doi.org/10.4236/ojmsi.2023.114007
- Adepeju, M., Langton, S., & Bannister, J. (2020). Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets. Journal of Open Source Software, 5(56), 2379, https://doi.org/10.21105/joss.02379
- Ashby, M. (2023). crimemappingdata: Data for Learning Crime Mapping. R package, version 0.3.0. https://pkgs.lesscrime.info/crimemappingdata
- Ashby, M. (2023). sfhotspot: Hot-Spot Analysis with Simple Features. R package, version 0.8.0. https://cran.r-project.org/web/packages/sfhotspot/index.html
- Moneva, A., Esteve, M., & Hart, T.C. (2022). cacc: Conjunctive Analysis of Case Configurations. R package, version 0.1.0. https://cran.r-project.org/web/packages/cacc/index.html
- Pina-Sánchez, J., Brunton-Smith, I., Buil-Gil, D., & Cernat, A. (2023). Exploring the impact of measurement error in police recorded crime rates through sensitivity analysis. Crime Science, 12, 14. https://doi.org/10.1186/s40163-023-00192-5
- Ratcliffe, J. (2022). aoristic: Generates Aoristic Probability Distributions. R package, version 1.1.1. https://cran.r-project.org/web/packages/aoristic/index.html
- Steenbeek, W. (2018). Near Repeat. R package version 0.1.1. https://github.com/wsteenbeek/NearRepeat
- Steenbeek, W., & Bernasco, W. (2018). lorenzgini: generalized Gini for sparse data situations. R package version 0.1.2. https://github.com/wsteenbeek/lorenzgini
- Steenbeek, W., Vandeviver, C. Andresen, M.A., Malleson, N., & Wheeler, A. (2020). sppt: Spatial Point Pattern Test. R package version 0.2.3. https://github.com/wsteenbeek/sppt
How-to guides published by the European Network for Open Criminology:
- Ashby, J. (2023). Make sure the world can read your work with open access. European Network for Open Criminology. https://esc-enoc.github.io/how-to/open-access.html
- Demant, J. (2025). Reimagining Replication – Open Science in Qualitative Criminology. European Network for Open Criminology. https://esc-enoc.github.io/how-to/open-qualitative-criminology.html
- Schumann, S. (2024). Advancing the Standard Model of Publishing – Registered Reports. European Network for Open Criminology. https://esc-enoc.github.io/how-to/registered%20reports.html
- Marder, I. D., & McCormack, P. (2024). Developing an ‘open research partnership’ with an applied and relational focus. European Network for Open Criminology. https://esc-enoc.github.io/how-to/open-partnership.html
- Moneva, A. (2025). Write Reproducible and Readable Analysis Code. European Network for Open Criminology. https://esc-enoc.github.io/how-to/reproducible-analysis-code.html
Open Data
- UK Data Service list of crime datasets https://ukdataservice.ac.uk/find-data/browse/crime/
- National Archive of Criminal Justice data https://www.icpsr.umich.edu/web/pages/NACJD/
- Ashby, M. (2017). Crime Open Database (CODE). Open Science Framework. https://doi.org/10.17605/OSF.IO/ZYAQN
- Citation: Ashby, J.M.P. (2019). Studying Crime and Place with the Crime Open Database. Research Data Journal for the Humanities and Social Sciences, 4(1), 65-80. https://doi.org/10.1163/24523666-00401007
- Kaplan, J. (2023). Crime Data Tool https://crimedatatool.com/index.html
- UNODC Atlas on Crime Victimisation Surveys https://www.cdeunodc.inegi.org.mx/index.php/atlas-on-cvs/
- International Crime Victims Survey https://www2.unil.ch/icvs/
- European Sourcebook of Crime and Criminal Justice Statistics https://wp.unil.ch/europeansourcebook/
- dataUNODC, United Nations Office on Drugs and Crime https://dataunodc.un.org/
- Covert networks, Mitchell Centre for Social Network Analysis Center for Computational Analysis of Social and Organizational Systems
Open Outputs
- Preprint and postprint repository https://www.crimrxiv.com/
- Information about Open Access journals https://www.crimrxiv.com/pub/ql79d70s/release/7
- Information about Diamond Open Access journals https://www.coado.org/
Journals offering registered reports:
- Legal and Criminological Psychology: https://bpspsychub.onlinelibrary.wiley.com/journal/20448333
- Law and Human Behavior: https://www.apa.org/pubs/journals/lhb
Framing the problem:
- Ashby, M.P.J. (2021). The Open-Access Availability of Criminological Research to Practitioners and Policy Makers. Journal of Criminal Justice Education, 32(1), 1-21. https://doi.org/10.1080/10511253.2020.1838588
Open Education
Open training materials for quantitative crime data analysis:
- Ashby, M.P.J. (2021). The Open-Access Availability of Criminological Research to Practitioners and Policy Makers. Journal of Criminal Justice Education, 32(1), 1-21. https://books.lesscrime.info/learncrimemapping/
- Kaplan, J. (2023). Crime by the Numbers: A Criminologist’s Guide to R. https://crimebythenumbers.com/
- Medina, J. (2014). Introductory R for Criminologists. https://jjmedinaariza.github.io/R-for-Criminologists/
- Minn, M. (2020). Crime Point Data Analysis in R. https://michaelminn.net/tutorials/r-crime/
- Solymosi, R., & Medina, J. (2022). Crime Mapping in R. https://maczokni.github.io/crime_mapping_textbook/
- UK Data Service (2023). Data Skills Module: Exploring crime surveys with R. https://trainingmodules.ukdataservice.ac.uk/crime/#/
These pages are adapted and extended from: Farran, E. K., Silverstein, P., Ameen, A. A., Misheva, I., & Gilmore, C. (2020, December 15). Open Research: Examples of good practice, and resources across disciplines (2026 edition). https://osf.io/preprints/osf/3r8hb_v2