Dominika Tkaczyk

Dominika Tkaczyk

Dominika Tkaczyk

Director of Technology

Biography

Dominika joined Crossref in 2018 as a Principal R&D Developer, where she focused on metadata matching research aimed at enriching the scholarly record through the discovery of new relationships. In 2024, she became Crossref’s Director of Data Science and established the Data Science team, with a mission to explore innovative ways of using data to support the scholarly community, enrich the Research Nexus with more metadata and relationships, and develop collaborations with like-minded community initiatives. Since 2025, Dominika has served as Director of Technology, leading a unified technology team that integrates infrastructure, software development, and data science functions. Dominika holds a PhD in Computer Science from the Polish Academy of Sciences. Prior to joining Crossref, she she was a researcher and a data scientist at the University of Warsaw, Poland, and a postdoctoral researcher at Trinity College Dublin, Ireland.

ORCID iD

0000-0001-5055-7876

Dominika Tkaczyk's latest writing

To go far, go together: reflections from FORCE2026

RocĂ­o Gaudioso Pedraza

RocĂ­o Gaudioso Pedraza, Wednesday, Aug 19, 2026

In Meetings

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This year’s edition of the FORCE11 conference was hosted in June by Singapore Management University. Its title, “To Go Far, Go Together: Advancing Scholarly Communication Across Boundaries and Disruptions” truly resonates with Crossref’s truths; it takes a village! Crossref only works as long as the scholarly research community wants to work together globally, across all disciplines, for integrity and openness of the scientific record. The conversations were influenced by a genuinely diverse mix of librarians, researchers, open infrastructures, and service providers, and that mix shaped almost every interaction we had at the conference.

Investing $4.9 million of our surplus in rebuilding the Crossref system

The infrastructure that registers and distributes Crossref metadata has been running and growing for more than two decades. It now does considerably more than it was built to do, and it shows: two large, tightly coupled monoliths (Content System and REST API), where a change in one place risks breaking something in another.

In its July meeting, the Crossref board approved the use of Crossref surplus funds for a three-year project to accelerate the redesign of the Crossref system. Our plan is to use $1.6 million a year for three years (~USD $4.9M in total) from our surplus funds, which will help us set up a modern infrastructure consisting of separate services for the different functionalities that the Crossref system offers.

Two billion citation links in Crossref help research travel further

Kornelia Korzec

Kornelia Korzec, Tuesday, May 26, 2026

In CitationMetadataResearch NexusSchema

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We’ve recently reached an important milestone for the research nexus: the works in our metadata corpus are now connected with over 2 billion citation links! This is a great opportunity to share a dedicated dataset and discuss why these are important for science.

DOI resolution and deposit outage on 17 March 2026

Dominika Tkaczyk

Dominika Tkaczyk, Monday, Mar 30, 2026

In Content RegistrationDOIsHandle

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On 17 March 2026, we experienced an outage that affected DOI resolution for Crossref DOIs and the deposit of metadata records by Crossref members. In this summary, we outline what happened, the impact on our community, and the steps we are taking to strengthen our systems and processes as a result.

On metadata enrichment

Metadata is communication; it can tell a story about research and paint a picture for others to respond to and learn from, across the world and throughout the forthcoming generations. Metadata can feel technical with words like ‘infrastructure’ and ‘schema’, and sometimes, like tech in general, it comes with hyperbole. But metadata really is part art (storytelling and pictures) and part science (structured models and standards) with both aspects being equally important, and requiring people as well as systems. That necessary combination of human and machine involvement also makes metadata challenging.

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