The DataCite Community Survey 2025 is open!
Share your thoughts on metadata, PIDs & open infrastructure, and help us improve our services & engagement.
Thank you for helping us shape the future of open & connected research: https://bit.ly/49cJPtD
Deadline: 1 Dec 2025
#OpenResearch #CommunitySurvey #PIDs #metadata #OpenScience #OpenInfrastructure #CommunityDriven

Please boost!

𝗟𝗮𝘀𝘁 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗢𝗽𝗲𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝘄𝗮𝗿𝗱𝘀 𝟮𝟬𝟮𝟱, 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲 𝟭𝟰 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿!

https://www.rug.nl/research/openscience/open-research-award/

It’s not too late to register for next week’s DataCite Annual Community Meeting! Join us on November 12 & 13 for four sessions highlighting our recent activities, stories from members & key topics in open research.

The event is free & open to everyone.
Please boost if you're part of the DataCite community!

Register now at: https://datacite.org/events/list/?tribe_eventcategory%5B0%5D=205

#OpenScience #OpenResearch #CommunityMeeting #CommunityDriven #DataCite2025 #Metadata #PersistentIdentifier #PID #DOI
@kelly @Mohamadmostafa

Unsere kleine Workshopreihe zum Aufbau des #LegalHelpdeskBerlin biegt auf die Zielgerade ein – zum Jahresende haben wir noch zwei besondere „Schmankerl“

Montag 24.11., 14-17 Uhr Workshop mit Till Kreutzer an der FU Berlin. Thema:; Lizenzen und #OpenResearch: https://blogs.fu-berlin.de/open-research-berlin/2025/11/03/legal-helpdesk-berlin-workshop-iv-till-kreutzer-lizenzen-open-research/

und

Montag, 8.12., 14-17 Uhr mit Paul Klimpel, Workshop zu #KünstlicheIntelligenz und #Urheberrecht in Wissenschaft und Kulturerbe (Ankündigung folgt)

This is a solution to a niche problem, but I was happy with it, so I'll share

If you use #Qualtrics for survey experiments you will want to share the exact survey - item wording, response options, order of items - as part of your open data, analysis code and study materials repository for all that righteous #reproducibility #OpenResearch karma

Problem is, the Qualtrics export of a survey puts each question and response option on a separate page, making the document effectively unreadable

1/

Open research systems should work for everyone – usable, secure, and built on trust. We need resilient, collaborative infrastructure that protects researchers and empowers communities. #OpenResearch #OpenScience #PublicEngagement

Want to ensure your research data doesn’t contain errors and can be understood by other users and your future self? This tutorial by the LMU Open Science Center can show you how to document and validate your research data in R, making your research data more reusable.

The Tutorial of the Day: Data Documentation and Validation using R https://lmu-osc.github.io/data-documentation-validation-R/

Data documentation such as data dictionaries provides the contextual data needed to understand, navigate, and reuse research data whereas data validation involves verifying the collected data before it’s used. By documenting and validating your data, you can:
Create clear and comprehensive data dictionaries
Use summary statistics to spot data quality issues
Validate your data to catch errors before analysis
Produce professional reports that integrate documentation and analysis

Check out this tutorial to start making your research data more understandable and shareable!

This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.

How to promote the sharing of data for wider reuse when sensitive data cannot be shared? The LMU Open Science Center offers a tutorial on how to create shareable and useful datasets when working with sensitive data.

The Tutorial of the Day: Generating and Evaluating Synthetic Data in R https://lmu-osc.github.io/synthetic-data-tutorial/

Synthetic data are artificially generated datasets that mimic the structure and patterns of real data. By excluding personally identifiable information, it allows researchers to share data responsibly. With synthetic data, you can:
Explore and test new ideas on shared data when real data are restricted
Showcase the reproducibility of your methods and results by providing, along with the synthetic data, the code that analyzed the real data
Provide more information and visibility on your work and prompt collaborations
Generate realistic datasets for educational purposes

Create privacy-safe and shareable data today!

This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.

Struggling to keep your research data organized and make it reusable? The LMU Open Science Center has a tutorial to help bring order and accessibility to your datasets.

The Tutorial of the Day: FAIR Data Management https://lmu-osc.github.io/FAIR-Data-Management/

FAIR data management is all about handling data appropriately from their collection to easily make them Findable, Accessible, Interoperable, and Reusable upon publication. With FAIR Data Management, you can:

Make sure your data never gets lost
Structure your files and folders for easy collaboration
Make your data reusable by documenting it with e.g. a data dictionary
Have all metadata on hand to publish your data in a dedicated repository and get your work found and cited

Start organizing your research data the FAIR way today!

This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.

We had a great time in Brisbane, engaging with our community at #IDW2025 and DataCite Connect! Read the highlights & other reflections from DataCite’s community team, including our newest member Maria Levchenko: https://doi.org/10.5438/7aqw-kt02
#OpenScience #OpenResearch #CommunityDriven #DOI #PID #DataCiteConnect25
@Mohamadmostafa

Need to calculate the sample size needed to detect the smallest effect size of interest before collecting data? The LMU Open Science Center offers a tutorial to help you improve study design and conduct power analyses through simulation.

The Tutorial of the Day: Simulations of data in R for Advanced Power Analyses https://lmu-osc.github.io/Simulations-for-Advanced-Power-Analyses/

With simulations for complex study designs , you can:
Gain confidence in your study’s robustness
Investigate how multiple predictors interact in models
Visualize how design changes affect statistical power
Calculate your needed sample size

Take your power analyses to the next level and start learning today!
This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.

DOAJ Ambassador & Managing Editor for MENA @belhamel.bsky.social Belhamel presented at the 4th Annual Forum for Open Research this week (October 20-23)

Thanking the presenters - Emily Choynowski from Forum for Open Research in MENA and Kamel

During our Open Science Summer School 2025, Prof. Dr. Felix Schönbrodt (@nicebread) gave an eye-opening lecture titled “Open Access, Preprints, Postprints - or ‘How to do Open Access For Free’,” exploring the many ways researchers can reclaim control over how their work is shared.

Listen to Prof. Schönbrodt’s full lecture here: https://osf.io/5rsxb, review the slides here: https://osf.io/c2mrb

Here are a few key insights:
Open Access takes many forms, from Green Open Access (self-archiving preprints or postprints) to Gold models where publications are made openly available immediately by the publishers, against an article processing charge paid by the authors.
Green Open Access refers to freely depositing your article in an institutional or discipline-specific repository that is freely-accessible by readers. Wonderful tools like the Open Policy Finder https://openpolicyfinder.jisc.ac.uk/ help you check which version of your article, where, and when publishers allow you to deposit a freely accessible version of your article.
Diamond Open Access is a publishing model that is free for both readers and authors, supported by community-driven and non-commercial initiatives.

Open Access redistributes ownership of scientific knowledge back to the academic community and the public who fund research.

A proud day for Irish science as Ireland joins CERN @cern.bsky.social as an Associate Member State. A huge step forward for research, innovation, and future generations of scientists. #CERN #IrishScience #Publicengagement #OpenResearch #STEM

RE: https://bsky.app/profile/did2vrfekwr4jo7zufnlt7qlrqq/post/3m3rspjwhus2c

A proud day for Irish science as Ireland joins CERN @cern.bsky.social as an Associate Member State. A huge step forward for research, innovation, and future generations of scientists. Find out more: lnkd.in/d_3sS5KW #CERN #IrishScience #Publicengagement #OpenResearch #STEM

Get involved in shaping open research infrastructure!
We’re opening our Call for Applications for the 2026 DataCite Steering & Working Groups!
Apply by Nov 17 to help guide DataCite’s community, technology & metadata work.
Find more info & the application link on our blog: https://doi.org/10.5438/1yt8-y090
#CommunityDriven #OpenResearch #OpenScience #OpenInfrastructure

Who really owns the knowledge we create? For Open Access Week 2025, let’s reflect on what it means to take back ownership of research and how it’s shared.

Earlier this year, our Von “DEAL” zu “Diamond” symposium discussed how universities can move beyond commercial publishing models toward community-driven, non-profit systems. Two key approaches stood out:
Diamond Open Access (OA): A community-driven model where publishing is free for both authors and readers. It’s supported by institutions rather than profit-based publishers.
Peer Community In (PCI): A non-commercial platform for open peer review and publication recommendation, allowing scholars to share and evaluate research transparently and collaboratively.

The conversations highlighted a key message: true openness in science isn’t only about access — it’s about autonomy, equity, and ensuring that knowledge serves the common good.

Check out the materials (in German) from this symposium here: https://osf.io/r49ng/files

Forschungsinformationen sind für die Wissenschaft unverzichtbar – von Publikationsdaten bis zu Fördermittelübersichten. In dem Vortrag Open research information for transparent and fair research assessmen gibt unser Kollege Marc Lange einen Überblick über die Bedeutung offener Forschungsinformationen für transparente Forschungsevaluation und akademische Souveränität.

22.10.2025
14 - 14.30 Uhr

Anmeldung via @fzj:
https://www.fz-juelich.de/de/zb/veranstaltungen/open-science-week

Under the theme “Who Owns Our Knowledge?” for Open Access Week 2025 , we’re spotlighting two initiatives reshaping how knowledge is shared and evaluated: CoARA and OpenAlex.

CoARA (Coalition for Advancing Research Assessment): A global movement that promotes fairer research evaluation by recognizing diverse contributions and focusing on qualitative assessment over irresponsible use of metrics. In line with these principles, the Research Quality Evaluation (RESQUE) framework (https://www.resque.info/) offers practical tools and indicators for assessing research quality responsibly. It emphasizes the use of indicators for rigorous and reproducible science and offers user-friendly tools that enhance hiring and tenure decision-making processes. One of the coordinators of the RESQUE framework is our managing director, Felix Schönbrodt (@nicebread)!

OpenAlex: An open, comprehensive index of the world’s research. It works by providing a database of research outputs which includes information like authors, affiliations, and citations, without paywalls. Based on OpenAlex, the LMU Open Science Center creates a bibliography of open science work from our members and maps the network of connections across our Open Science community: https://www.resources.osc.lmu.de/bibliography/.

By embracing initiatives like CoARA and OpenAlex, we move closer to a research culture where openness, equity, and integrity define how knowledge is created and shared.