Special Sessions, Workshops & Tutorials

DC-2017 Activities

In addition to the peer reviewed papers, project reports and posters, a growing array of exciting Tutorials, Workshops & Special Sessions are under development to engage metadata researchers and practitioners in the latest innovations in modeling, design, technologies and best practices.

Special Sessions

Taming the Graph: Profiles over Linked Data

Title: Taming the Graph: Profiles over Linked Data
Day/Time: Friday, 8:30-5:30
Venue: TBA

Abstract: The idea of application profile was proposed at a Dublin Core workshop in 2000 as a way to customize metadata for specific application domains, mixing-and-matching multiple metadata vocabularies as needed, and to share these customizations within communities of practice. This day-long event will start with a look back at how the discourse around profiles has evolved since 2000, then it will examine new technologies that can help us tame the boundless sea of Linked Data with controlled metadata. This event is sponsored by the DCMI, which participates in W3C efforts to develop standards relevant to profiles and seeks direction for its future work, and by LD4, a coordinated program to advance the use and utility of linked data in research and cultural heritage organizations, especially libraries.


Morning Session 1: The Role of Profiles (90 min)

"Application Profiles" since DC-2000
Tom Baker, DCMI
Pieces of the profile puzzle
Karen Coyle, Consultant
Profiles and Data Quality
Stefanie Rühle, SUB Goettingen

Morning Session 2: Developing and Using Profiles (90 min)

Requirements for BIBFRAME profiles
Kirk Hess, Library of Congress
Structured methods for developing profiles
Mariana Malta, Polytechnic of Oporto
Agile, data-driven methods for developing profiles
Eric Prud'hommeaux, World Wide Web (W3C)

Afternoon Session 1: Expressing and Profiling Data (90 min)

JSON-LD: The data syntax and its uses
Gregg Kellogg, Consultant at Spec-Ops
ShEx: the Shapes Expression Language
Eric Prud'hommeaux, World Wide Web (W3C)

Afternoon Session 2: Sharing profiles (90 min)

Documenting profiles and vocabularies on the Web
Paul Walk, Edinburgh University
Maintaining RDF vocabularies in spreadsheets
Gregg Kellogg, Consultant at Spec-Ops
Answering the questions posed

« More info...»

Linked Data for Production

Title: Linked Data for Production (LD4P): Technical services workflow evolution through Tracer Bullets
Day/Time: Thursday, 1:30-3:00
Venue: TBA

Abstract: Linked Data for Production (LD4P) is a Mellon-supported collaboration between six institutions (Columbia, Cornell, Harvard, Library of Congress, Princeton, and Stanford) to begin the transition of technical services production workflows to ones based in Linked Open Data (LOD). This first phase of the transition focuses on the development of the ability to produce metadata as LOD communally, the enhancement of the BIBFRAME ontology to encompass the multiple resource formats that academic libraries must process, and the engagement of the broader academic library community to ensure a sustainable and extensible environment. As its name implies, LD4P is focused on the immediate needs of metadata production such as ontology coverage and workflow transition. The focus of LD4P is on the identification, evaluation and adaption of existing viable tools to immediate production needs. A related project, LD4L-Labs, focuses on solutions that can be implemented in production at research libraries within the next three to five years. Their efforts focus on the enhancement and development of existing or new linked data creation and editing tools, exploration of linked data relationships, analysis of the graph to directly improve discovery, BIBFRAME ontology development, piloting efforts in URI persistence, and metadata conversion tool development needed by LD4P and the broader library community.

As part of LD4P, Stanford is leading the development of a Performed Music Ontology and is converting four key technical services production pathways from MARC-based to RDF-based in a project called the Tracer Bullets. In this panel, we will discuss our work on these projects, highlighting achievements and difficulties of current efforts, as well as plans for future work.

Panel Presenters:

Philip Schreur, Stanford University
Workflow Analysis
Arcadia Falcone, Stanford University
MARC Data Enhancement and Conversion
Josh Greben, Stanford University
Nancy Lorimer, Stanford University
Josh Greben, Stanford University
Nancy Lorimer, Stanford University
Digital Repository
Christina Harlow, Stanford University

« More info...»


Workshops & Tutorials

NKOS Workshop

Workshop Title: NKOS Workshop
Day/Time: Saturday, 8:30-5:30
Venue: TBA

Workshop Facilitators:

Joseph Busch, Consultant
Gail Hodges, Information International Associates


Abstract: The 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop will include: (1) Presentations, typically 20 minutes plus discussion time on work related to the themes of the workshop (see below); and (2) Demonstration on work related to the themes of the workshop.

Announcement of the Presentations and Demonstrations will be made in mid-August.

Workshop Themes:

Research Data Management

Issues related to controlled vocabularies, name authority, taxonomy, and other KOS to enable access to collections, e.g., in order to be able to replicate scientific results. What are the KOS requirements related to data storage and preservation; and communication, coordination and collaboration to support librarian and researcher needs?


The objective of linked open data is to provide distributed access to vocabularies and content that uses vocabularies. Actually using vocabularies to aggregate distributed content is a special case that reconstructs collections that are now dispersed. Examples include Renaissance artist sketchbooks, natural history collections from enlightenment humanists, etc.

Metadata Enrichment.

This theme relates to reusing existing metadata sources and adding additional controlled vocabularies, name authority, taxonomy, and other KOS to create new resources. E.g., building a new data resource based on selecting content from the Code of Federal Regulations and enriching the collection by adding new vocabularies.

Authority Control.

How does authority control work in a global linked data community? What agencies should and are willing to be responsible for the names of public agencies, companies, subsidiaries, brands and trademarks, and artists who constitute a national group based on birth place and/or area of activity.

Metrics and Quality.

How are controlled vocabularies, name authority, taxonomy and other KOS quantified and qualified? What are the appropriate dimensions of use and validation. Does Google Analytics have a role? Are there other methods and practical applications?

Life Cycle Management.

What is the common lifecycle of terms within controlled vocabularies, name authority, taxonomy and other KOS? What are the downstream impacts and best practices for handling of vocabulary changes?

« More info...»

Metadata 2020: Accelerating Scholarly Discovery

Workshop Title: Metadata 2020: Accelerating Scholarly Discovery
Day/Time: Saturday, 8:30-12:30
Venue: TBA

Workshop Facilitators:

Clare Dean, Metadata 2020
Eva Méndez, Universidad Carlos III de Madrid


Abstract: All of those who are involved in scholarly communications have the same end goal: to conduct, facilitate and/or communicate research, and have that research be discoverable. Whether they’re funders, authors, preprint servers, publishers, libraries, repositories; or the numerous tools seeking to add value through search, discovery, annotation, or analyses; so many of these organizations contribute along the way but often important details get mistyped, misrepresented, or missed out entirely.

We envision a future with better metadata, not only increasing discoverability of content, but also benefiting reputation management, attribution, discoverability, efficiency, data reproducibility and reusability, in addition to future services that don’t yet exist!

A group of organizations from all over the world (including Crossref, DataCite, ORCID, OpenAIRE, California Digital Library, Wikimedia, OCLC among others) have come together to rally the community around this critical issue in scholarly communications: sharing richer metadata. Working together we can build on existing efforts to make research more discoverable. Metadata 2020 is an advocacy campaign, aiming to facilitate the collaboration of all in the scholarly communications chain to consistently improve metadata to enhance discoverability, facilitate new services, and create efficiencies with the ultimate goal of accelerating scholarly discovery.

In this workshop, we seek input from librarians, publishers, aggregators, service providers, funders, data repositories and researchers, to share user stories and insights about the journey that metadata takes, and to help prioritize goals and tactics for Metadata 2020. Metadata 2020 is a campaign that is bigger than just one organization or sector, but a collective responsibility shared by us all.

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Using Omeka S To Create and Share Cultural Heritage Linked Open Data

Workshop Title: Using Omeka S To Create and Share Cultural Heritage Linked Open Data
Day/Time: Saturday, 1:30-5:30
Venue: TBA

Tutorial Instructor:

Patrick Murray-John, Roy Rosenzweig Center for History and New Media, George Mason University


Abstract: Omeka S is a fundamental rewrite of the popular Omeka Classic web publishing system for cultural heritage organizations. In this tutorial, we will describe the decisions we made in our renewed effort to improve metadata creation and dissemination. We will also have hands-on time for participants to use Omeka S and provide feedback on our metadata creation workflow.

In 2012, the Roy Rosenzweig Center for History and New Media (RRCHNM) at George Mason University (GMU) started developing a new version of our popular open-source web-publishing platform, Omeka (Classic), that was designed specifically with the principles of Linked Open Data (LOD) in mind. Developed for medium and larger GLAMs, Omeka S uses JavaScript Object Notation-Linked Data (JSON-LD) as its native data format, which makes it possible to enmesh Omeka S in the LOD world. Every Omeka S Resource (item, item set, media) has a URI, and the core software includes the following Resource Description Framework (RDF) vocabularies, which maximizes its data interoperability with other data publishers: Dublin Core Metadata Initiative (DCMI) Terms, DCMI Type, The Bibliographic Ontology (BIBO), and The Friend of A Friend Vocabulary (FOAF). In our progress toward ensuring and maintaining interrelationships between humanities data, connectors between Omeka S and other systems will ensure that LOD is maintained. For example, the connector to Fedora fosters import of both Fedora's own vocabulary, and the W3C Recommendation Linked Open Data Vocabulary that it rests on. Together, these features prepare data in Omeka S to be fully embedded in the semantic web.

In this tutorial we will walk through these and other aspects of Omeka S Item creation, with emphasis on LOD principles. We will also look at the features of Omeka S that ease metadata input and facilitate project-defined usage and workflows. In accordance with our commitment to interoperability, we will describe how the API for Omeka S can be deployed for data exchange and sharing between many systems. Finally, we will describe how add-on modules can expand on these metadata features, including use of Library of Congress and Getty authority data, Rights Statements, and data expansion from Linked Open Data endpoints.

« More info...»

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The National Library of Finland The National Library of Korea The National Library Board Singapore
Shanghai Library Simmons College GSLIS (US) Information School of the University of Washington
MIMOS Berhad Research Center for Knowledge Communities, Tsukuba University Infocom Corporation (Japan)
UNESP (Brazil) Universisty of Edinburgh SUB Goettingen

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