News for 2017
Webinar: Me4MAP - A method for the development of metadata application profiles
A metadata application profile (MAP) is a construct that provides a semantic model for enhancing interoperability when publishing data to the Web of Data. When a community of practice agrees to follow a MAP's set of rules for publishing data as Linked Open Data, it makes it possible for such data to be processed automatically by software agents. Therefore, the existence of a method for MAP development is essential to providing developers with a common ground on which to work.
Sayeed Choudhury to deliver Keynote at DC-2017
The Governing Board and the Chairs of the DC-2017 Program Committee are please to announce that Sayeed Choudhury, Associate Dean for Research Data Management and Hodson Director of the Digital Research and Curation Center at the Sheridan Libraries of Johns Hopkins University will deliver the keynote address at DC-2017 in Washington, D.C. Choudhury has oversight for data curation research and development and data archive implementation at the Sheridan Libraries at Johns Hopkins University.
Webinar: Nailing Jello to a Wall: Metrics, Frameworks, and Existing Work for Metadata Assessment
With the increasing number of repositories, standards and resources we manage for digital libraries, there is a growing need to assess, validate and analyze our metadata - beyond our traditional approaches such as writing XSD or generating CSVs for manual review. Being able to further analyze and determine measures of metadata quality helps us better manage our data and data-driven development, particularly with the shift to Linked Open Data leading many institutions to large-scale migrations.
ZBW German National Library of Economics joins DCMI as Institutional Member
ZBW German National Library of Economics - Leibniz Information Centre for Economics is the world's largest research infrastructure for economic literature, online as well as offline. Its disciplinary repository EconStor provides a large collection of more than 127,000 articles and working papers in Open Access. EconBiz, the portal for international economic information, allows students and researchers to search among nine million datasets. The ZBW edits two journals in economic policy, Wirtschaftsdienst and Intereconomics, and in cooperation with the Kiel Institute for the World Economy produces the peer-reviewed journal Economics based on the principle of Open Access.
DC-2017 Call of Participation published
The DC-2017 Call for Participation (CfP) has been published. DC-2017 will take place in Washington, D.C. and will be collocated with the ASIST Annual Meeting. The theme of DC-2017 is "Advancing metadata practice: Quality, Openness, Interoperability". The conference program will include peer reviewed papers, project reports, and poster tracks. In addition, an array of presentations, panels, tutorials and workshops will round out the program. The Conference Committee is seeking submissions in all tracks.
Webinar: Data on the Web Best Practices: Challenges and Benefits
There is a growing interest in the publication and consumption of data on the Web. Government and non-governmental organizations already provide a variety of data on the Web, some open, others with access restrictions, covering a variety of domains such as education, economics, e-commerce and scientific data. Developers, journalists, and others manipulate this data to create visualizations and perform data analysis. Experience in this area reveals that a number of important issues need to be addressed in order to meet the requirements of both publishers and data consumers.
Webinar: From MARC silos to Linked Data silos? Data models for bibliographic Linked Data
Many libraries are experimenting with publishing their metadata as Linked Data to open up bibliographic silos, usually based on MARC records, to the Web. The libraries who have published Linked Data have all used different data models for structuring their bibliographic data. Some are using a FRBR-based model where Works, Expressions and Manifestations are represented separately. Others have chosen basic Dublin Core, dumbing down their data into a lowest common denominator format.