The TPDL 2026 Doctoral Consortium offers PhD students a unique opportunity to present their research in a supportive, expert environment, receive structured feedback from senior researchers, and connect with peers at similar stages of their academic journey.
We particularly encourage submissions from early- and mid-stage PhD students working on ongoing or planned research relevant to the TPDL community.
What to submit:
— Papers of 4 pages + unlimited references
— Describing ongoing or planned doctoral research in areas relevant to digital libraries
Benefits of participating:
— Dedicated Doctoral Consortium session with mentoring and peer discussion
— Option to publish in the Springer Communications in Computer and Information Science (CCIS) series
— Networking with an international community of researchers and practitioners
DOCTORAL CONSORTIUM CHAIRS
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Elsa Cardoso, elsa.cardoso@iscte-iul.pt
Eva Méndez, emendez@bib.uc3m.es
IMPORTANT DATES
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All deadlines are 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time
zone on the date specified.
Submission deadline: 30th August, 2026
Notification of acceptance: 4th September, 2026
Camera-ready submission: 18th September, 2026
TOPICS
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Topics in 2026 include but are not limited to, theories, models, standards, tools, and applications on the following themes:
Information Management
— FAIR Data and Software
— Data Lifecycle Management (Create, Store, Share, Reuse)
— Research Objects: FAIR Digital Objects (FDO), RO-Crate
— Reproducibility
— Digital Preservation and Curation
— Data Integration and Harmonization, Metadata Standards
— Data Provenance and Documentation
— Linked Data and Open Data Platforms
— Data Stewardship and Governance
Monitoring and Assessment of Science
— Science of Science Studies
— Scientometrics and Bibliometrics
— Scholarly Communication Knowledge Graphs
— Data Citation and Credit Distribution
Knowledge Creation and Dissemination
— AI and Machine Learning Applications in Digital Libraries
— Explainable, Responsible, and Trustworthy AI for Digital Libraries
— Knowledge Organization: Knowledge Graphs, Ontologies, Thesauri
— Nanopublications
— Entity Extraction and Semantic Linking
Digital Libraries as Enablers of Science across Disciplines
— Design and Evaluation of User Interfaces
— User Experience and Participation in Digital Libraries
— Information Visualization and Analytics
— Interaction Design for Diverse User Groups
— Digital Libraries in Humanities, Social Sciences, Technical and
Engineering Sciences, Natural Sciences, Life Sciences, …
— Digital Cultural Heritage
Societal Issues in Digital Libraries
— Bias in metadata or knowledge organization systems
— Bias in information access mechanisms
— Trustworthiness of digital information
— Business models for Open Access
— Indigenous Data, Governance, and Sovereignty
Information Retrieval
— Advanced Search Algorithms and Techniques
— Data Search and Discovery
— Semantic Search and Indexing
— Recommender Systems
— Computational Linguistics
— User-Centric Information Retrieval Design
— Information Retrieval System Evaluation
— Multimodal and Multilingual Information Access
— Information Behavior and Interaction
Document Analysis and Recognition
— Physical and Logical Layout Analysis
— Historical Document Analysis
— Document Semantics Extraction
— Natural Language Processing for Document Analysis
Submissions may address multiple themes; interdisciplinary and
cross-cutting contributions are particularly encouraged.
SUBMISSION GUIDELINES
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All submissions should detail their methods and techniques sufficiently to enable replication and reuse. Papers must be in the Springer style (an Overleaf LaTeX template is available).
Every paper must be submitted in PDF format using the EasyChair online submission system
after selecting the desired TPDL2026 contribution type.
All submissions will undergo a rigorous peer-review process. Submissions that do not comply with the submission guidelines may be rejected without review.
Selected Doctoral Consortium Papers will be published by Springer in Communications in Computer and Information Science series