Introduction

The ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) is a major international forum focusing on digital libraries and associated technical, practical, and social issues. Participation is sought from all parts of the world and from the full range of disciplines and professions involved in digital library research and practice, including computer science, information science, librarianship, archival science and practice, museum studies and practice, technology, medicine, social sciences, and humanities. Besides the main conference, JCDL 2017 will host specialized workshops, tutorials, panels, and a doctoral consortium. All domains–academics, government, industry, and others–are encouraged to participate as presenters or attendees.

The field of digital libraries has undergone dramatic changes as digital collections grow in scale and diversity. These changes call for novel analytical tools and methodologies for making sense of large amounts of heterogeneous data, for deriving diverse kinds of knowledge, and for linking across different collections and research disciplines. Thus the theme of the 2017 conference is #TOScale #TOAnalyze #TODiscover. Digital libraries must improve outreach efforts, engage diverse communities, and provide scholars and users with effective and flexible access to materials which will in turn empower them to make new observations and discoveries. This year, we particularly invite papers, panels, workshops, and tutorials that present new discovery methods for diverse kinds of collections and datasets (e.g., documents, images, sounds, videos), that apply recent technologies in related fields like machine learning and data mining, and that report on innovative digital library applications that engage diverse communities, facilitate user access, and enable discovery and exploration in all domains including science, art, and the humanities. This year, in addition to the research-oriented program, we are organizing a practitioners’ day so experts and practitioners can share their experiences and report on major projects. Practitioner contributions will take the form of posters and demos. Participation is sought from all parts of the world and from the full range of established and emerging disciplines and professions including computer science, information science, web science, data science, digital humanities, librarianship, data management, archival science and practice, museum studies and practice, information technology, medicine, social sciences, education and the humanities. Representatives from academe, government, industry, and others are invited to participate.

Call for paper

Important date

2017-01-25
Abstract submission deadline
2017-01-29
Draft paper submission deadline
2017-03-20
Draft paper acceptance notification
2017-04-16
Final paper submission deadline

Submission Topics

JCDL welcomes submissions from researchers and practitioners interested in all aspects of digital libraries such as:

  • collection discovery and development;

  • hybrid physical/digital collections;

  • knowledge discovery;

  • applications of machine learning and AI;

  • services;

  • digital preservation;

  • system design;

  • scientific data management;

  • infrastructure and service design;

  • implementation;

  • interface design;

  • human-computer interaction;

  • performance evaluation;

  • user research;

  • crowdsourcing and human computation;

  • intellectual property;

  • privacy; electronic publishing;

  • document genres;

  • multimedia;

  • user communities; and

  • associated theoretical topics.

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Important Date
  • Conference Date

    Jun 19

    2017

    to

    Jun 23

    2017

  • Jan 25 2017

    Abstract Submission Deadline

  • Jan 29 2017

    Draft paper submission deadline

  • Mar 20 2017

    Draft Paper Acceptance Notification

  • Apr 16 2017

    Final Paper Deadline

  • Jun 23 2017

    Registration deadline

Sponsored By
Association for Computing Machinery Special Interest Group on Hypertext, Hypermedia and Web - ACM SIGWEB
Association for Computing Machinery Special Interest Group on Information Retrieval - ACM SIGIR
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