Agata Bochynska

• Bochynska, Agata; Kalandadze, Tamara; Korbmacher, Max; Mayiwar, Lewend; Mayor, Julien & Quintana, Daniel (2025). Grassroots networks can help implement and harmonize open research efforts. Nordic Perspectives on Open Science. ISSN 2464-1839. 10. doi: 10.7557/11.8343. Fulltekst i vitenarkiv Vis sammendrag

  Grassroots networks are peer-led, bottom-up initiatives that can drive meaningful change in research reform. Norwegian Reproducibility Network (NORRN), a nation-wide initiative after the model from similar networks around the world, is an example of a grassroots network where a community of researchers works together towards more transparent, rigorous and robust research. By connecting with other researchers, librarians and research support staff across Norwegian universities and colleges as well as various stakeholders, including higher-education institutions and research funders, NORRN aims to help implement and harmonize open and reproducible research efforts across the country. In this paper, we describe the origins, mission, and structure of NORRN and similar networks, as well as successes, challenges and future directions of NORRN’s efforts that show a critical role of grassroots initiatives in supporting research improvement.

• Roettger, Timo; Askelund, Jo Adrian Dahl; Birkenæs, Viktoria; Bjørndal, Ludvig Daae; Bochynska, Agata & Glaser, Bernt Damian [Vis alle 13 forfattere av denne artikkelen] (2025). Transparency in epidemiological analyses of cohort data a case study of the Norwegian mother, father, and child cohort study (MoBa). BMC Medical Research Methodology. 25, s. 1–11. doi: 10.1186/s12874-025-02601-6. Fulltekst i vitenarkiv Vis sammendrag

  Background Epidemiological research is central to our understanding of health and disease. Secondary analysis of cohort data is an important tool in epidemiological research but is vulnerable to practices that can reduce the validity and robustness of results. As such, adopting measures to increase the transparency and reproducibility of secondary data analysis is paramount to ensuring the robustness and usefulness of findings. The uptake of such practices has not yet been systematically assessed. Methods Using the Norwegian Mother, Father, and Child Cohort study (MoBa; [23, 24]) as a case study, we assessed the prevalence of the following reproducible practices in publications between 2007–2023: preregistering secondary analyses, sharing of synthetic data, additional materials, and analysis scripts, conducting robustness checks, directly replicating previously published studies, declaring conflicts of interest and publishing publicly available versions of the paper. Results Preregistering secondary data analysis was only found in 0.4% of articles. No articles used synthetic data sets. Sharing practices of additional data (2.3%), additional materials (3.4%) and analysis scripts (4.2%) were rare. Several practices, including data and analysis sharing, preregistration and robustness checks became more frequent over time. Based on these assessments, we present a practical example for how researchers might improve transparency and reproducibility of their research. Conclusions The present assessment demonstrates that some reproducible practices are more common than others, with some practices being virtually absent. In line with a broader shift towards open science, we observed an increasing use of reproducible research practices in recent years. Nonetheless, the large amount of analytical flexibility offered by cohorts such as MoBa places additional responsibility on researchers to adopt such practices with urgency, to both ensure the robustness of their findings and earn the confidence of those using them. A particular focus in future efforts should be put on practices that help mitigating bias due to researcher degrees of freedom – namely, preregistration, transparent sharing of analysis scripts, and robustness checks. We demonstrate by example that challenges in implementing reproducible research practices in analysis of secondary cohort data—even including those associated with data sharing—can be meaningfully overcome.

• Bochynska, Agata & Baggio, Giosue (2025). When Hypothesis Preregistration Feeds Into Theory Development. Collabra: Psychology. ISSN 2474-7394. 11(1). doi: 10.1525/collabra.130077. Fulltekst i vitenarkiv
• Soderstrom, Melanie; Rocha-Hidalgo, Joscelin; Munoz, Luis Eduardo; Bochynska, Agata; Werker, Janet F. & Skarabela, Barbora [Vis alle 42 forfattere av denne artikkelen] (2024). Testing the relationship between preferences for infant-directed speech and vocabulary development: A multi-lab study. Journal of Child Language. ISSN 0305-0009. doi: 10.1017/S0305000924000254. Fulltekst i vitenarkiv Vis sammendrag

  From early on, infants show a preference for infant-directed speech (IDS) over adult-directed speech (ADS), and exposure to IDS has been correlated with language outcome measures such as vocabulary. The present multi-laboratory study explores this issue by investigating whether there is a link between early preference for IDS and later vocabulary size. Infants’ preference for IDS was tested as part of the ManyBabies 1 project, and follow-up CDI data were collected from a subsample of this dataset at 18 and 24 months. A total of 341 (18 months) and 327 (24 months) infants were tested across 21 laboratories. In neither preregistered analyses with North American and UK English, nor exploratory analyses with a larger sample did we find evidence for a relation between IDS preference and later vocabulary. We discuss implications of this finding in light of recent work suggesting that IDS preference measured in the laboratory has low test-retest reliability.

• Larson, Caroline; Bochynska, Agata & Vulchanova, Mila Dimitrova (2024). Mental rotation and language in autism spectrum disorder. Autism Research. ISSN 1939-3792. 17(4), s. 785–798. doi: 10.1002/aur.3128. Fulltekst i vitenarkiv Vis sammendrag

  Though visuospatial skills are often considered a relative strength in autism spectrum disorder (ASD), unexplained difficulties relative to neurotypical (NT) peers have also been observed. Dissociations between spatial cognition and language skills in ASD may explain these difficulties given that these systems are linked in NT individuals. The current study examined performance on a mental rotation task that systematically varied stimulus features and the degree to which performance was associated with language in ASD relative to NT peers. Participants were children and young adults with ASD and 25 pairwise age- and IQ-matched NT peers (p's>0.53). The mental rotation task involved four conditions: two-dimensional (2D) abstract figures, three-dimensional (3D) abstract figures, 2D common objects, and 3D common objects. Structural language was measured using the grammar subscale from the Test of Language Development: Intermediate adapted for Norwegian. Mixed-effects model results indicated that autistic individuals were less accurate and had slower reaction time across mental rotation task conditions than NT peers. Language was associated with mental rotation accuracy for both groups across conditions, but with reaction time only for the NT group. The current study demonstrated selective associations between language and performance on a classic spatial cognition task in autistic individuals. Namely, there was a dissociation between language and in-the-moment efficiency in the ASD group, and this dissociation may reflect a broader dissociation between visuospatial and language systems.

• Pownall, Madeleine; Azevedo, Flávio; König, Laura M.; Slack, Hannah R.; Evans, Thomas Rhys & Flack, Zoe [Vis alle 70 forfattere av denne artikkelen] (2023). Teaching open and reproducible scholarship: a critical review of the evidence base for current pedagogical methods and their outcomes. Royal Society Open Science. 10(5). doi: 10.1098/rsos.221255. Fulltekst i vitenarkiv Vis sammendrag

  In recent years, the scientific community has called for improvements in the credibility, robustness and reproducibility of research, characterized by increased interest and promotion of open and transparent research practices. While progress has been positive, there is a lack of consideration about how this approach can be embedded into undergraduate and postgraduate research training. Specifically, a critical overview of the literature which investigates how integrating open and reproducible science may influence student outcomes is needed. In this paper, we provide the first critical review of literature surrounding the integration of open and reproducible scholarship into teaching and learning and its associated outcomes in students. Our review highlighted how embedding open and reproducible scholarship appears to be associated with (i) students' scientific literacies (i.e. students’ understanding of open research, consumption of science and the development of transferable skills); (ii) student engagement (i.e. motivation and engagement with learning, collaboration and engagement in open research) and (iii) students' attitudes towards science (i.e. trust in science and confidence in research findings). However, our review also identified a need for more robust and rigorous methods within pedagogical research, including more interventional and experimental evaluations of teaching practice. We discuss implications for teaching and learning scholarship.

• Lobben, Marit; Bochynska, Agata; Eifring, Halvor & Laeng, Bruno (2023). Tracking semantic relatedness: numeral classifiers guide gaze to visual world objects. Frontiers in Language Sciences. doi: 10.3389/flang.2023.1222982. Fulltekst i vitenarkiv Vis sammendrag

  Directing visual attention toward items mentioned within utterances can optimize understanding the unfolding spoken language and preparing appropriate behaviors. In several languages, numeral classifiers specify semantic classes of nouns but can also function as reference trackers. Whereas all classifier types function to single out objects for reference in the real world and may assist attentional guidance, we propose that only sortal classifiers efficiently guide visual attention by being inherently attached to the nouns' semantics, since container classifiers are pragmatically attached to the nouns they classify, and the default classifiers index a noun without specifying the semantics. By contrast, container classifiers are pragmatically attached, and default classifiers index a noun without specifying the semantics. Using eye tracking and the “visual world paradigm”, we had Chinese speakers ( N = 20) listen to sentences and we observed that they looked spontaneously within 150 ms after offset of the Sortal classifier. After about 200 ms the same occurred for the container classifiers, but with the default classifier only after about 700 ms. This looking pattern was absent in a control group of non-Chinese speakers and the Chinese speakers' gaze behavior can therefore only be ascribed to classifier semantics and not to artifacts of the visual objects. Thus, we found that classifier types affect the rapidity of spontaneously looking at the target objects on a screen. These significantly different latencies indicate that the stronger the semantic relatedness between a classifier and its noun, the more efficient the deployment of overt attention.

• Bochynska, Agata; Keeble, Liam; Halfacre, Caitlin; Casillas, Joseph V.; Champagne, Irys-Amélie & Chen, Kaidi [Vis alle 9 forfattere av denne artikkelen] (2023). Reproducible research practices and transparency across linguistics. Glossa Psycholinguistics. 2(1). doi: 10.5070/G6011239. Fulltekst i vitenarkiv Vis sammendrag

  Scientific studies of language span across many disciplines and provide evidence for social, cultural, cognitive, technological, and biomedical studies of human nature and behavior. As it becomes increasingly empirical and quantitative, linguistics has been facing challenges and limitations of the scientific practices that pose barriers to reproducibility and replicability. One of the proposed solutions to the widely acknowledged reproducibility and replicability crisis has been the implementation of transparency practices, e.g., open access publishing, preregistrations, sharing study materials, data, and analyses, performing study replications, and declaring conflicts of interest. Here, we have assessed the prevalence of these practices in 600 randomly sampled journal articles from linguistics across two time points. In line with similar studies in other disciplines, we found that 35% of the articles were published open access and the rates of sharing materials, data, and protocols were below 10%. None of the articles reported preregistrations, 1% reported replications, and 10% had conflict of interest statements. These rates have not increased noticeably between 2008/2009 and 2018/2019, pointing to remaining barriers and the slow adoption of open and reproducible research practices in linguistics. To facilitate adoption of these practices, we provide a range of recommendations and solutions for implementing transparency and improving reproducibility of research in linguistics.

• Bochynska, Agata & Dillon, Moira (2022). Young children’s drawings and descriptions of layouts and objects. Proceedings of the 44th Annual Conference of the Cognitive Science Society. ISSN 1069-7977. Fulltekst i vitenarkiv
• Bochynska, Agata & Dillon, Moira (2022). Opening science to families so families can open their homes to science. BPS Developmental Psychology Forum. ISSN 2396-8699. Fulltekst i vitenarkiv

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• Bochynska, Agata & Ferrara, Lindsay Nicole (2026). (Perceived) barriers to data sharing and resuse: Results from a discipline-specific needs analysis. doi: https:/eden-fidelis.eu/events/data-reuse-workshops. Fulltekst i vitenarkiv
• Bochynska, Agata (2025). Responsible open science: how to practice openness ethically and mindfully? doi: https:/www.hiof.no/english/studies/courses/iio/iio/2025/autumn/phdds92023.html. Fulltekst i vitenarkiv
• Hauge, Åshild Lappegard; Moss, Sigrun Marie; Omland, Guro Brokke; Bochynska, Agata; Houge, Anette Bringedal & Tateo, Luca [Vis alle 7 forfattere av denne artikkelen] (2025). ReDemOS​ ​ ​ ​ ​ The Unintended Undemocratic Consequences of Open Science practices: Rethinking the Democratisation of Knowledge Production. Fulltekst i vitenarkiv Vis sammendrag

  The Open Science movement aims to democratise knowledge production, making data, research processes and results more open and transparent. However, it may also risk being undemocratic in its approaches to knowledge production. With its current guidelines, Open Science is tailored to methods used in specific disciplines, e.g. the Natural Sciences or hypothesis-testing social science. Though the aims of Open Science are transparency, equity and inclusion, the recommended methodological practices are often difficult to apply to other types of research approaches, e.g. qualitative methods. Open Science may, therefore, unintentionally exclude certain forms of knowledge production, especially within the social sciences. Consequentially, some types of research addressing important societal issues may face hindrances, as Open Science gains ground in research, funding, hiring and publishing. There may be cases where knowledge production paradoxically becomes narrower and less transparent due to Open Science. ReDemOs seeks to address these unintended consequences. By critically investigating how the aim of democratization in Open Science influences knowledge production, ReDemOs aims to suggest alternative conceptualisations and practices within Open Science.

• Bochynska, Agata (2024). Sharing is caring: mapping existing transparency and reproducibility practices. Fulltekst i vitenarkiv
• Bochynska, Agata; Christiansen, Torgeir & Klette, Kirsti (2024). Towards reusable qualitative data: lessons from the QualiFAIR project. Fulltekst i vitenarkiv
• Neff, Mary Elizabeth; Bochynska, Agata & Force, Pilot Reporting Task (2024). To pilot or not to pilot, that's not the question: developing a template for transparent pilot study reporting. Fulltekst i vitenarkiv
• Cole, Nicki Lisa; Ulpts, Sven Arend; Good, Matthew; Bochynska, Agata; Leitner, Barbara & Kormann, Eva [Vis alle 7 forfattere av denne artikkelen] (2024). Reproducibility of qualitative research – an integrative review of barriers and enablers. Fulltekst i vitenarkiv
• Bochynska, Agata & Christiansen, Torgeir (2024). Åpen forskning møter juridiske og etiske utfordringer – eksempler på mulighetsrommet. Fulltekst i vitenarkiv
• Bochynska, Agata (2024). Registered Reports: How to publish regardless of the results. Fulltekst i vitenarkiv
• Bochynska, Agata; Christiansen, Torgeir & Klette, Kirsti (2024). Towards more reusable qualitative data at your local institution. Fulltekst i vitenarkiv
• Bochynska, Agata; Bergstrøm, Rebecca Josefine Five & Jensenius, Alexander Refsum (2024). Why do we need licenses on data? Fulltekst i vitenarkiv
• Bochynska, Agata; Christiansen, Torgeir; Lunde, Anders & Bergsaker, Anne Schad (2024). Infrastructures for storing and sharing data. Fulltekst i vitenarkiv
• Bochynska, Agata (2024). When hypothesis preregistration feeds into theory development. Fulltekst i vitenarkiv
• Lin, Yi; Bochynska, Agata; Dilks, Daniel D & Dillon, Moira (2024). The role of spatial layout and language in infants' categorization of places. Fulltekst i vitenarkiv
• Jensenius, Alexander Refsum & Bochynska, Agata (2024). Opphavsrettslige utfordringer ved overgangen til FAIR forskningsdata ved UiO. Fulltekst i vitenarkiv
• Kvale, Live Håndlykken; Sarre, Aili; Ostrop, Jenny; Pharo, Nils; Stangeland, Elin & Sundstøl, Shea Allison [Vis alle 10 forfattere av denne artikkelen] (2023). Competency framework for development of Research Data Support Services. Fulltekst i vitenarkiv
• Bochynska, Agata (2023). Hvordan gjøre kvalitative data FAIR? Opphavsrett og lisenser. Fulltekst i vitenarkiv
• Bochynska, Agata; Christiansen, Torgeir & Klette, Kirsti (2023). Towards reusable qualitative data: lessons from the QualiFAIR project. Fulltekst i vitenarkiv
• Bochynska, Agata & Good, Matthew (2023). Felleskapsbygging for akademisk kompetanseutvikling. Fulltekst i vitenarkiv
• Good, Matthew; Pierfederici, Maria Elisa; Gilbert, Sofie; Bochynska, Agata; Sæbø, Anne & Kvale, Live Håndlykken [Vis alle 8 forfattere av denne artikkelen] (2023). Discovering the Power of Digital research: The DSC at the University of Oslo. Fulltekst i vitenarkiv
• Bochynska, Agata (2023). Assessment of transparent research practices in linguistics. Fulltekst i vitenarkiv
• Bochynska, Agata (2023). NORRN: Barriers and enablers to building reproducibility communities. Fulltekst i vitenarkiv
• Bochynska, Agata (2023). Bottom-up: Developing a culture of data sharing. Norwegian Reproducibility Network. Fulltekst i vitenarkiv
• Bochynska, Agata (2023). The power of communities: setting up a new reproducibility network. Fulltekst i vitenarkiv
• Bochynska, Agata (2023). Research reproducibility: what it is and why it matters. Fulltekst i vitenarkiv
• Bochynska, Agata; Eskeland, Ragnhild; Lien, Marianne Elisabeth & Klette, Kirsti (2023). Why and how to share qualitative data. Fulltekst i vitenarkiv
• Lin, Yi; Bochynska, Agata; Dilks, Daniel D & Dillon, Moira (2023). Scene and Heard: Infants use shape and language to categorize places. Fulltekst i vitenarkiv
• Neff, Mary Beth & Bochynska, Agata (2023). Unconference on (Transparent) Piloting: current practices and ways forward. Fulltekst i vitenarkiv
• Quintana, Daniel; Kalandadze, Tamara; Bochynska, Agata & Nordahl-Hansen, Anders Johan (2022). RIOT Science Club: Five things about open science that every researcher should know | Dr Dan Quintana. Fulltekst i vitenarkiv
• Pennington, Charlotte; Nordahl-Hansen, Anders; Bochynska, Agata & Kalandadze, Tamara (2022). A new way of publishing: Registered Reports 2.0 by Dr Charlotte Pennington. Fulltekst i vitenarkiv Vis sammendrag

  Growing concerns of replicability and reproducibility have ushered in fast-paced changes to scientific reform under the umbrella term of ‘open science’. We now understand that such concerns stem from academic incentives that reward novel surprising results and quantity over quality which fuel a range of questionable research practices. Study preregistration and Registered Reports (RRs) represent two open science initiatives that aim to improve research quality and rigour, and emerging empirical research demonstrates their effectiveness. However, neither are perfect. This talk will outline study preregistration and the standard Registered Report model before introducing a new form of Registered Reports that reshape academic publishing – Peer Community In Registered Reports (PCI RR). PCI RR is a community-driven initiative that reviews and recommends RRs across the full spectrum of STEM, medicine, social sciences, and humanities. Upon receiving In Principle Acceptance (IPA) of a Stage 1 manuscript, authors are then free to choose from a range of ‘PCI friendly journals’ who agree to publish the Stage 2 manuscript without the need for additional peer review. PCI RRs, therefore, represent an exciting new way of publishing that puts the authors back in control.

• Bochynska, Agata; Quintana, Daniel; Mayor, Julien; Leknes, Siri; Roettger, Timo & Mayiwar, Lewend [Vis alle 7 forfattere av denne artikkelen] (2022). Fram for troverdig forskning: Forskningen må være gjennomsiktig og etterprøvbar. 54(4), s. 38–39. Fulltekst i vitenarkiv Vis sammendrag

  Forskere ved Universitetet i Oslo, Handelshøyskolen BI og Høgskolen i Østfold har etablert det nasjonale nettverket Norwegian Reproducibility Network (NORRN). NORRN skal bidra til god forskningspraksis i Norge gjennom å fremme og legge til rette for åpenhet og etterprøvbarhet av forskningsresultater.

• Hart, Sara A.; Kalandadze, Tamara & Bochynska, Agata (2022). RIOT Science Club: Data sharing in developmental science. Fulltekst i vitenarkiv Vis sammendrag

  In this talk, Dr Sara Hart talked about her experiences in creating a data repository and otherwise supporting open science, as well as working with her research community to understand hesitations around data sharing and support those towards open data goals.

• Bochynska, Agata & Kalandadze, Tamara (2022). Preregistration: Benefits, challenges, and practical tips by Dr Agata Bochynska. Fulltekst i vitenarkiv Vis sammendrag

  More and more researchers across disciplines are preregistering their hypotheses, methods, and analysis plans before they collect or analyze the data. Preregistration motivates us to think more carefully about research designs, helps prevent manipulating the study outcomes, and increases research transparency and visibility. But how and where do we preregister research studies? In this talk, Agata Bochynska will lay out the benefits and challenges of preregistration and provide practical tips for preregistering studies on Open Science Framework (OSF) – a well-developed platform for research registration and sharing.

• Kvale, Live Håndlykken; Bertheussen, Lene Elisabeth; Bochynska, Agata; Good, Matthew; Stangeland, Elin & Enerstvedt, Kjersti Hasle [Vis alle 12 forfattere av denne artikkelen] (2022). Kompetanse for forskningsdatastøtte i fag- og forskningsbibliotek. Fulltekst i vitenarkiv
• Bochynska, Agata (2022). Fram for mer etterprøvbar forskning i humaniora og samfunnsfag. Fulltekst i vitenarkiv
• Bochynska, Agata (2022). Open science practices for neuroimaging research. Fulltekst i vitenarkiv
• Bochynska, Agata & Good, Matthew (2022). Moving towards more open and reproducible research. Fulltekst i vitenarkiv
• Bochynska, Agata & Dillon, Moira (2022). Young children’s drawings and descriptions of layouts and objects. Fulltekst i vitenarkiv
• Bochynska, Agata; Bergstrøm, Rebecca J. Five & Jensenius, Alexander Refsum (2024). Copyright challenges in the transition to FAIR research data at UiO: Note from a QualiFAIR working group. Det utdanningsvitenskapelige fakultet, Universitetet i Oslo . doi: 10.5281/zenodo.10830072. Fulltekst i vitenarkiv Vis sammendrag

  The competence hub QualiFAIR (2021 to 2024) at the University of Oslo has been focusing on how qualitative, context-sensitive and personally identifiable data can be made FAIR: findable, accessible, interoperable and reusable. This note summarises the findings and main recommendations from QualiFAIR's Copyright Working Group, which worked towards identifying copyright challenges in the transition to FAIR research data at the university.

• Bochynska, Agata; Bergstrøm, Rebecca Josefine Five & Jensenius, Alexander Refsum (2024). Opphavsrettslige utfordringer ved overgangen til FAIR forskningsdata ved UiO - Notat fra en QualiFAIR-arbeidsgruppe. QualiFair. Fulltekst i vitenarkiv

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