Zenodo was launched 10 years ago on May 8th by CERN and OpenAIRE. The goal since day one has been to enable any researcher from anywhere in the world to participate in practising open science. Today, 10 years later, Zenodo supports more than 300,000 researchers in 7500+ research organisations in 153 countries to do just that. A recent study conservatively estimated the socio-economic impact of Zenodo in society to 95 million EUR per year but more likely close to 1 billion EUR/year. All in support of the mission to provide the platform for all researchers to publicly share their work and join the open science movement.

At Zenodo, we always believed that research data should end up where researchers can care best for them, whether that be a subject/institute/national repository, but we also knew that gaps in the offerings still left an enormous quantity of research data with nowhere else to go, that we could usefully offer help to.

Zenodo is now a core enabler of open science

Today, the CERN Open Science Strategy Working Group has released the first version of the implementation plan that specifies concrete measures how to implement the CERN Open Science Policy, released on October 1st 2022. The implementation plan will be regularly updated to reflect organisational changes, updated priorities and new tools and practices. The most recent implementation plan will be also accessible on this website.

On March 24th, International Committee of the Red Cross (ICRC) representatives from its Delegation for Cyberspace came to CERN for the first in a series of knowledge-sharing sessions on using free and open source technologies to support the vital humanitarian work they carry out across the globe. These technologies are being explored as a means to pursue neutrality, impartiality and independence of humanitarian action in a digital environment. CERN and the ICRC have signed a cooperation agreement that will see members of CERN’s IT department provide training on selected technologies, as well as sharing their experience.

Technologies to be covered include Indico, CERN’s popular platform for organising events; CERNBox, which is used to store and share data; Newdle, which was created at CERN to aid meeting scheduling; CERN’s Single-Sign On solution for authentication; and OpenStack, a popular open source cloud-computing tool to which CERN contributes and which is used at CERN to manage

Ever since the open access (OA) publication of peer-reviewed primary research articles from CERN authors was made a policy requirement in 2014, CERN has made great strides forward in opening its research to anyone around the world. This has been achieved thanks to a variety of mechanisms implemented by the CERN Scientific Information Service (SIS), ranging from a series of Read & Publish agreements signed with major publishers to CERN’s participation in the SCOAP3 consortium, which has arranged for automatic OA to research in high-energy physics (HEP).

Books (including monographs and textbooks) have often been left out of such agreements and schemes. However, more and more monographs are now being published OA, thanks in part to historical and recent initiatives supported by CERN. The latest of these initiatives, SCOAP3 for books, has made dozens of books available in OA since its inception in 2022.

CERN’s commitment to OA for books is nothing new: CERN authors have long

The Large Hadron Collider Beauty (LHCb) experiment at CERN is the world’s leading experiment in quark flavour physics with a broad particle physics programme. Its data from Runs 1 and 2 of the Large Hadron Collider (LHC) has so far been used for over 600 scientific publications, including a number of significant discoveries. While all scientific results from the LHCb collaboration are already publicly available through open access papers, the data used by the researchers to produce these results is now accessible to anyone in the world through the CERN open data portal. The data release is made in the context of CERN’s Open Science Policy, reflecting the values of transparency and international collaboration enshrined in the CERN Convention for more than 60 years.

“The data collected at LHCb is a unique legacy to humanity, especially since no other experiment covers the region LHCb looks at,” says Sebastian Neubert, leader of the LHCb open data project. “It has been obtained through

All proton-proton data collected by the CMS experiment during LHC Run-1 (2010-2012) are now available through the CERN Open Data Portal. Today’s release of 491 TB of collision data collected during 2012 culminates the process that started in 2014 with the very first release of research-grade open data in experimental particle physics. Completing the delivery of Run-1 data within 10 years after data taking reaffirms the CMS collaboration’s commitment to its open data policy.

The newly released data consist of 42 collision datasets from CMS data taken in early and late 2012 and count an additional 8.2 fb-1 of integrated luminosity for anyone to study. Related data assets, such as luminosity information and validated data filters, have been updated to cover the newly released data. 

To foster reusability, physics analysis code examples to extract physics objects from these data are now included as CERN Open Data Portal records. This software has been successfully used to demonstrate

CERN’s core values include making research open and accessible for everyone. A new policy now brings together existing open science initiatives to ensure a bright future of transparency and collaboration at CERN

During its 209th Council session in September, the CERN Council approved a new policy for open science at the Organization, with immediate effect. The policy aims to make all CERN research fully accessible, inclusive, democratic, and transparent, both for other researchers and the wider society. It was developed by the Open Science Strategy Working Group (OSSWG), which encompasses members from every CERN department. Using existing bottom-up initiatives, the working group designed comprehensive guidelines for the CERN community to share their research within a new framework for open science. Published alongside the policy document is a dedicated website explaining all open science initiatives at CERN.

The completed policy follows the 2020 update of the European

The Sponsoring Consortium for Open Access Publishing in Particle Physics (SCOAP³)—the world’s largest disciplinary open access initiative—has reached the milestone of over 50’000 research articles published. Through partnerships with 11 leading journals, SCOAP³ has effectively transitioned the vast majority of research articles in the discipline to perpetual OA since 2014. These research papers include vital contributions from research organizations and institutions across the world: including the last paper published by Stephen Hawking and colleagues on Black Hole Entropy and a seminal paper from the CMS and ATLAS collaborations on the measurements of the Higgs boson production and decay rates, among the many thousands of others.

Established in 2014, SCOAP³ is a partnership of over 3,000 libraries, funding agencies, and research organizations from 44 countries and 3 intergovernmental organizations, hosted at the European Organization for Nuclear Research (CERN). Joachim Mnich, CERN

As the experiments at the Large Hadron Collider (LHC) brace for the start of Run 3 of the accelerator’s programme in 2022, the CMS collaboration has released a new batch of research-quality open data recorded by the CMS detector in 2015, the first year of Run 2. The new datasets are now available on the CERN Open Data portal. This marks the seventh release of CMS open data since 2014. It is the first release of research-quality open data from the LHC recorded at 13 teraelectronvolts (TeV), the record-breaking collision energy at which the accelerator operated during Run 2.

Data from hundreds of millions of proton–proton collisions – or 2.24 inverse femtobarns (fb–1) – are being made available today, making up nearly all of the analysis-certified data CMS collected in 2015. In addition, over 7000 datasets with Monte Carlo simulations are being provided. These simulated datasets are crucial for comparing observations with the predictions from the Standard Model of particle physics

We’ve talked in the past about the challenges of running a service at the scale of Zenodo in the inhospitable environment of the modern internet. Over the past couple of years, we have experienced an exponential increase in our users, content, and traffic… and we couldn’t be happier that Zenodo is proving useful in so many different ways! For Open Science to flourish, researchers should feel empowered to share their data, software, and every part of their journey of publishing their work. We are proud to have done our part in lowering the barrier to share and preserve.

This year we crossed the threshold of 2 million records, we are closing in on storing our first PetaByte of data, and we’ve reached 15 million annual visits. To keep up with these challenging requirements, our team put their heads together with our colleagues here at the CERN Data Center. Their long-running expertise in handling PBs of data generated from the CERN experiments is one of the reasons why we can offer a

The four main LHC collaborations (ALICE, ATLAS, CMS and LHCb) have unanimously endorsed a new open data policy for scientific experiments at the Large Hadron Collider (LHC), which was presented to the CERN Council today.  The policy commits to publicly releasing so-called level 3 scientific data, the type required to make scientific studies, collected by the LHC experiments. Data will start to be released approximately five years after collection, and the aim is for the full dataset to be publicly available by the close of the experiment concerned. The policy addresses the growing movement of open science, which aims to make scientific research more reproducible, accessible, and collaborative.

The level 3 data released can contribute to scientific research in particle physics, as well as research in the field of scientific computing, for example to improve reconstruction or analysis methods based on machine learning techniques, an approach that requires rich data sets for training

The ATLAS collaboration has just released the first open dataset from the Large Hadron Collider’s (LHC) highest-energy run at 13 teraelectronvolts (TeV). The new release is specially developed for science education, underlining the collaboration’s long-standing commitment to students and teachers using open-access ATLAS data and related tools.

ATLAS has made public 10 inverse femtobarns (fb⁻¹) of the 13-TeV data, which corresponds to about 1 quadrillion proton-proton collisions, or 500 thousand produced Higgs bosons. It is also approximately the same amount of data that the ATLAS collaboration used to discover the Higgs boson in 2012. The datasets, software and tools are available on the ATLAS public website and on theCERN Open Data Portal.

“Our high-energy collision open data, recorded during the second run of the LHC, provides insight into the real world of particle-physics analysis. Students, scholars and interested members of the public will be able to reproduce ATLAS physics