Tag: open science

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Building a Culture of Openness: Reflections on the OSCV Launch

by Monique Grenier

The launch of the Open Science Community of Victoria (OSCV) on October 23, 2025, at the University Club, University of Victoria (UVic), kicked off a multi-institutional initiative dedicated to promoting transparency and openness in research. With attendees from UVic, Royal Roads University, and Vancouver Island University, the event offered a vibrant space to explore what Open Science and Open Scholarship mean, and why this shared movement matters more than ever.

The OSCV’s mandate is aligned with global movements, such as the UNESCO Recommendation on Open Science, advocating for improved equity and transparency across the research lifecycle. At its core, OSCV seeks to foster a research culture that is inclusive, collaborative, and community driven. From the natural sciences to the humanities, Open Science is transforming how knowledge is created, shared, and reused.

Faculty, postdocs, students, and staff came together at the launch event to connect, exchange experiences, and explore new possibilities. A facilitated discussion invited participants to reflect on actionable strategies for transforming research norms. These conversations sparked meaningful insights, revealing shared challenges across disciplines while underscoring the value of collaboration in addressing them.

By bringing together a cross-section of the entire campus community, OSCV challenges disciplinary silos and encourages collaboration. As the community grows, so too does its potential to shape institutional policies, mentor the next generation of scholars, and contribute meaningfully to global conversations on research reform. OSCV aims to support this journey by offering workshops, peer support, and resources tailored to the needs of the local research community. 

Join the movement toward a more open and inclusion research ecosystem. Visit the OSCV website and sign up to become a member of our growing community of practice: https://lib.uvic.ca/oscvsignup. Furthermore, the OSCV Core Team is actively gathering input from members to guide the future direction of the community. Share your ideas and feedback by completing our community feedback survey: https://lib.uvic.ca/oscvfeedback. 

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Open Science Lunch Talk

Join our Open Science lunch with Balazs Aczel and Dominik Dianovics for a discussion about how hidden assumptions shape the link between theories, models, and data in empirical research.

In their talk titled “The Double Underdetermination Problem: When data don’t determine theories and theories don’t determine models”, Balazs Aczel and Dominik Dianovics from ELTE University in Budapest will discuss the underdetermination of models by theory and provide recommendations on how to manage this uncertainty in research practice.

Event Details

Registration: https://forms.office.com/e/HL0uTQqtEe

Date: 18 November 2025, 11:00 – 13:00

Location: REC GS.11, Roeterseiland Campus (UvA), Nieuwe Achtergracht 129-B

This event is free to attend and includes a free lunch at 12:00, but registration is required since we have a limited number of spots.

About the speakers

Balazs Aczel is a Professor and Vice-Dean for Science at Eötvös Loránd University (ELTE), Budapest, Hungary, where he leads the Metascience and Cognitive Research Lab. His research explores the psychology of science and research transparency, with a particular focus on how scientific practices can be made more credible and reproducible. He has served as Chair of the Program Committee for the Society for the Improvement of Psychological Science (SIPS) and is an active contributor to large-scale, collaborative projects, including transparency checklists, many-analysts studies, and metascientific investigations of research workflows.

Dominik Dianovics is a PhD candidate in the Metascience and Cognitive Research Lab at Eötvös Loránd University (ELTE), Budapest. As a metaresearcher, his doctoral work focuses on the psychology of science, including topics such as academic burnout and researchers’ emotional experiencesthroughout the writing and publishing process.

Abstract

What to blame if my test fails? It would be simple to say ‘the theory’, but in reality, we never test theories in isolation but in a bundle, together with other hypotheses. These auxiliary hypotheses (such as ‘the experiment was coded correctly’, or ‘the participants understood the instructions’) often remain implicit. Nevertheless, when the test fails, they can be brought up to take the blame. Quine’s underdetermination of theory by data (1951) claims that the data can never compel us to accept or reject a specific theory, as any piece of evidence can always be made consistent with multiple theoretical frameworks if we are willing to adjust our auxiliary assumptions. In this talk, I will argue that the problem arises not only when we try to link data back to theory, but also when moving in the opposite direction—from theory to evidence—as each step from theoretical question to experimental design and then to statistical analysis depends on auxiliary hypotheses. Since statistical models always require more specifications than the theory alone can provide, there will always be multiple models compatible with the theory. I refer to this as the underdetermination of model by theory, a problem directly relevant to multiverse and multi-analyst analyses, and to confirmatory statistics more broadly. To end the talk on a more optimistic note, I’ll bring into the discussion an approach for managing this inherent uncertainty in research practice.

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Pillole di Open Science

L’Open Science Community Torino annuncia con piacere un nuovo ciclo di incontri in presenza e ibridi intitolato “Pillole di Open Science”!

Gli incontri hanno una durata di circa 60 minuti e si svolgono in sedi diverse, in tutte le strutture. Il pubblico di riferimento comprende ricercatori, dottorandi e docenti universitari, ma la partecipazione è ovviamente aperta a tutti gli interessati, con qualsiasi background.

Al termine di ciascun incontro è previsto uno spazio dedicato all’Open Science Aperitif, sul modello dell’evento di lancio, che rappresenta un’occasione per incontrarsi, scambiarsi le idee e creare nuove collaborazioni!

Calendario

Gli eventi si tengono, a seconda del calendario, nel secondo o terzo mercoledì del mese, dalle 15:00 alle 16:30 circa. Tenete liberi i vostri calendari in queste date!

  • OTTOBRE – Mercoledì 8 – Perché l’Open Science?
    • Coordinate: h. 15:00-16:30 – Aula Blu, Rettorato di UniTO, Via Giuseppe Verdi 8
    • Speaker: Elena Giglia, Ph.D.
    • Principi base dell’Open Science; Perché è importante rendere i risultati della ricerca pubblica disponibili a tutte/i? Cosa vuol dire fare Open Science? Che vantaggi ho?
    • Questo evento e’ finito! Trovate la registrazione su Zenodo: https://zenodo.org/records/17303852
  • NOVEMBRE – Mercoledì 12 – La Riproducibilità nella scienza
    • Coordinate: (In via di ultimazione) Aula Magna, Dipartimento di Neuroscienze, Corso Massimo d’Azeglio 52, Torino, Italia
    • Speaker: Visentin Luca
    • Il metodo scientifico chiede di condividere le proprie conclusioni con il resto della comunita’. Coma mai? Cosa puo’ andare storto? Quali strumenti sono a nostra disposizione per rendere le nostre analisi riproducibili?
    • Registrazione entro Lunedi’ 10 Novembre, h. 21:00 a questo link (cliccami!).
    • Nota: Questo evento e’ stato modificato causa assenza della relatrice – ci scusiamo.
  • DICEMBRE – Mercoledì 17 – Open Science in practice: il ruolo del Data steward
    • La gestione del ciclo di vita dei dati, dalla loro creazione alla loro pubblicazione o archiviazione. Cosa sono i metadati? Esempi reali del lavoro quotidiano della figura del Data steward.
  • GENNAIO – Mercoledì 21 – Pubblicare Open Access: Miti e Realtà
    • Come e dove pubblicare in Open Access? Devo pagare per avere un articolo in Open Access? Perché pubblicare in Open Access?
  • FEBBRAIO – Mercoledì 18 – Zenodo e le repository generaliste: Cosa e come
    • Le piattaforme aperte per depositare dati, articoli, software, e materiali di ricerca. Come si deposita in Zenodo? Cosa e’ meglio depositare? Cosa vuol dire FAIR?
  • MARZO – Mercoledì 18 – Open Science nei progetti di Ricerca: DMP in medicina
    • Come gestire i dati di un progetto di ricerca prima, durante e dopo la sua conclusione? Come preparare un DMP? Cosa contiene un DMP? Come va redatto?
  • APRILE – Mercoledì 15 – Open Science nei progetti di Ricerca: il caso delle humanities
    • Cosa vuol dire parlare di dati della ricerca nelle humanities? Cosa si intende per “dato”?I DMP nei progetti di digitalizzazione del patrimonio culturale. Il Piano Nazionale di Digitalizzazione. Cenni su DMP in progetti europei
  • MAGGIO – Mercoledì 13 – Open Science and Intelligenza Artificiale: Le sfide del futuro
    • Intelligenza Artificiale e dati. Opportunità di accelerare la ricerca grazie a dataset condivisi e modelli riproducibili. Bias e responsibilità nell’uso dell’AI nelle scienze.
  • GIUGNO – Mercoledì 17 – Tool e Workflow per il research data management
    • GitHub, Electronic Lab Notebook, OSF… Tutti gli strumenti nella nostra cassetta degli attrezzi per rendere la nostra ricerca piu’ funzionale, efficace e soprattutto Open.

Nota: Gli argomenti degli incontri possono subire leggere variazioni. Un invito specifico sarà inviato attraverso i nostri canali nel periodo prima all’evento vero e proprio con informazioni aggiuntive quali orario, location e speaker(s). Questa pagina sarà periodicamente aggiornata di conseguenza.

Vi aspettiamo numerosi!

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ما هي المعرفات الدائمة (PIDs)؟ 🆔



المعرفات الدائمة (PIDs) هي مرجع رقمي طويل الأمد يوفر هوية فريدة و يضمن ثبات الوصول للموارد الرقمية وعدم فقدانها.

💡من أمثلة المعرفات الدائمة (PIDs)

👨🏻‍💼👩🏻‍💼معرف ORCID ID | توفر ORCID معرف دائم فريد للباحثين وموثق به معلوماته المهنية و إنتاجه الفكري وإنجازاته
https://orcid.org/

📄معرف DOI | هو معرف دائم مخصص للأبحاث العلمية ، مقالات الدوريات، والكتب الإلكترونية. لا يتغير حتى وان تغير مكان استضافتها على الويب
https://www.doi.org/

🏢 معرف ROR | هو معرف فريد مخصص لكل منظمة بحثية في العالم
https://ror.org/



What Are Persistent Identifiers (PIDs)?🆔

Persistent Identifiers (PIDs) are long-lasting digital references that provide a unique identity and ensure stable access to digital resources, eliminating the risk of loss.


💡Examples of Persistent Identifiers (PIDs):

👨🏻‍💼👩🏻‍💼 ORCID ID | Open Researcher and Contributor ID: ORCID provides a unique, persistent identifier for researchers, linked to their professional information, scholarly outputs, and achievements.

https://orcid.org/

📄 DOI | Digital Object Identifier: A persistent identifier assigned to scholarly works such as journal articles and e-books. It never changes, even if the hosting location on the web does.

https://www.doi.org/

🏢 ROR | Research Organization Registry: A unique identifier dedicated to every research organization worldwide.

https://ror.org/

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💡 مبادئ FAIR

💡 مبادئ FAIR للبيانات المفتوحة
أربعة مباديء يرمز لها كل حرف من FAIR

✅ تهدف مباديء FAIR إلي تعزيز الشفافية وتسهيل استخدام البيانات في الأبحاث والابتكار.


💡 FAIR Principles for Open Data
The four FAIR principles take their name from the initials of F-A-I-R

✅ The FAIR principles aim to enhance transparency and make data easier to use for research and innovation.

1758074824402Download

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OSCA Highlights: National Open Science Week 2025

From 22–26 September 2025, the National Network of Open Science Communities hosted a nationwide week of open science activities. As OSCA, we took part in this initiative to connect with our members, exchange knowledge, and engage in discussions on current open science topics, including new publishing initiatives, positionality statements, and other meta-scientific themes.

On Monday, September 22, the Student Initiative for Open Science opened the Open Science Week with a “Symposium on the Future of Academic Publishing” at the University of Amsterdam. After an overview of the current publishing landscape, three diamond open access initiatives shared their innovative approaches to challenging the status quo.

Prof. Dr. J.S. Caux introduced SciPost, a diamond open access publishing infrastructure, explaining its editorial workflow, business model, and the challenges of sustaining such initiatives in a system largely designed for commercial publishers.

Next, Dr. Alexandra Sarafoglou presented the Journal of Robustness Reports, a SciPost journal that promotes the reanalysis of high-profile findings through concise article formats.

Finally, Stefan Gaillard addressed the taboos surrounding failure in science, introducing the Journal of Trial and Error–a platform dedicated to publishing null, unexpected, and erroneous results to foster learning through trial and error.

On Wednesday, September 24, the Amsterdam University Medical Center hosted the networking event “Networking: Spotlight on Open Science“. This event brought together colleagues for a late-afternoon hour of talks highlighting experiences with open science practices from three local researchers who took part in the Open Science Community Amsterdam Awards, followed by drinks and an open science–themed game.

The last day of the Open Science week 2025, September 26, featured the workshop “Positionality Statements: A tool to Open up Your Research” organised in collaboration with the Netherlands Research Integrity Network and hosted at the Vrije Universiteit Amsterdam. Developed by Daniela Gawehns, Tamarinde Haven,and Bogdana Huma, the session brought together a diverse group of scholars who were keen to reflect on their standpoints and how these may play a role in their scientific practice. We used guided free-writing prompts, which sparked a powerful conversation connecting openness with vulnerability, courage, and accountability and enabled participants to discover how their unique backgrounds and experiences shape their research. The core take-away message was that by transparently acknowledging our own standpoints, we not only help others to better contextualise our work, but also foster a more profoundly open research culture. If you would like to know more or host your own Positionality workshop, please feel free to download and reuse the PowerPoint slides and workbook.

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🔬 لماذا يُعد العلم المفتوح مهمًا؟




لأنه يساهم في:
✅ توسيع نطاق الوصول إلى نتائجك البحثية
✅ تمكين الممارسين (أصحاب المهن) من تطبيق نتائج أبحاثك
✅ تحقيق معدلات استشهاد أعلى
✅ إحداث تأثير فعلي في السياسات
✅ إتاحة نتائج أبحاثك للجمهور
✅ التوافق مع متطلبات جهات التمويل والمنح
✅ ضمان حصول دافعي الضرائب على قيمة مقابل أموالهم
✅ تمكين الباحثين في الدول النامية من الاطلاع على عملك

🔬 Why is Open Science important?


Because it helps to:
✅ Broaden access to your research findings
✅ Enable practitioners to apply your research outcomes
✅ Achieve higher citation rates
✅ Make a real impact on policy
✅ Make your research accessible to the public
✅ Comply with funder and grant requirements
✅ Ensure taxpayers get value for their money
✅ Allow researchers in developing countries to access your work

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📢 ما هي المبادئ الستة للعلوم المفتوحة؟


1- الوصول الحر Open Access 🔓
الوصول الحر هو أسلوب نشر يتيح الوصول المجاني وغير المقيد عبر الإنترنت إلى الأبحاث العلمية
2- البيانات المفتوحة Open Data 📂
هي بيانات متاحة للجميع ، ويمكن إعادة استخدامها وتعديلها وتوزيعها بحرية من قبل أي شخص
3- المنهجيات المفتوحة Open methodology 📝
مشاركة الطرق والأساليب المستخدمة في البحث العلمي بشكل واضح، حتى يتمكن الباحثون من تكرار الدراسات والتحقق من النتائج المُنتجة.
4- البرمجيات مفتوحة المصدر Open source 👩🏻‍💻
هي برمجيات يتم إتاحة الكود المصدري Source code الخاص بها لتمكين أي شخص فحصه و تعديله وتحسينه.
5- المصادر التعليمية المفتوحة Open Educational resources 📚
توفير الموارد التعليمية والعلمية مثل الأبحاث العلمية والكتب والمقررات الدراسية مجانًا لدعم عملية التعليم المستمر للجميع.
6- المراجعة المفتوحة Open peer review 👤
هي نموذج من نماذج تحكيم الأبحاث العلمية يتم فيه الكشف عن بعض أو جميع جوانب عملية التحكيم بشكل علني، سواء قبل النشر أو

بعده، بهدف تعزيز الشفافية والتفاعل العلمي.

📢 What Are the Six Principles of Open Science?
1- Open Access 🔓
Open access is a publishing model that provides free and unrestricted online access to scholarly research.
2- Open Data 📂
Open data is information that is available to everyone and can be freely reused, modified, and distributed by anyone.
3- Open Methodology 📝
This involves the clear sharing of the methods and approaches used in scientific research, allowing other researchers to replicate studies and verify the results.
4- Open Source 👩🏻‍💻
Open-source software makes its source code available to enable anyone to examine, modify, and improve it.
5- Open Educational Resources 📚
This principle involves providing educational and scientific materials, such as research papers, books, and course curricula, for free to support continuous learning for all.
6- Open Peer Review 👤
Open peer review is a model for evaluating scholarly research where some or all aspects of the review process are disclosed publicly, either before or after publication. This aims to enhance transparency and scientific interaction.

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Practical Data Skills Workshop Series

Discover practical skills that empower you to contribute meaningfully to Open Science —making your work more accessible, equitable, and impactful. Join us for a hands-on workshop series designed to help you work more efficiently and transparently with your research data:

Register online via the Events tab on the OSCV website or through the University of Victoria Libraries workshop page: https://libcal.uvic.ca/calendar/dsc.

What You’ll Learn:

🔹 Organizing Files and Folders 
🔹 Creating ReadMe Files
🔹 Pre-Registering Your Study using Open Science Framework registries
🔹 Using ORCID iDs
🔹 Best Data Management Practices
🔹 Finding Open Data
🔹 Best Practices for Reproducible Research
🔹 Depositing Data
🔹 Citizen Science

Why Attend?

✅ Enhance your research with open, transparent practices
✅ Learn by doing through interactive exercises
✅ Connect with peers who share your interest in data and open science

Whether you’re a student, researcher, or open science enthusiast, this series will equip you with the tools to make your work more transparent, equitable, and impactful.

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