Does metadata matter?

About the Webinar In May 2012, the Library of Congress announced a new modeling initiative focused on reflecting the MARC 21 library standard as a Linked Data model for the Web, with an initial model to be proposed by the consulting company Zepheira. The goal of the initiative is to translate the MARC 21 format to a Linked Data model while retaining the richness and benefits of existing data in the historical format. In this webinar, Eric Miller of Zepheira will report on progress towards this important goal, starting with an analysis of the translation problem and concluding with potential migration scenarios for a broad-based transition from MARC to a new bibliographic framework.

NISO/DCMI Webinar: Metadata for Managing Scientific Research Data

This document summarizes a webinar on metadata for managing scientific research data. The webinar covered why metadata is important for scientific data management, definitions of data and metadata, selected metadata standards including Dublin Core, Darwin Core and FGDC, challenges in generating metadata and opportunities to address these challenges, and advice for getting started with metadata. The webinar emphasized that metadata standards provide guidelines not strict rules, and encouraged participants to keep metadata simple while aiming to facilitate reuse of data.

Object models and object representation

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Tutorial at OAI5 (cern.ch/oai5). Abstract: This tutorial will provide a practical overview of current practices in modelling complex or compound digital objects. It will examine some of the key scenarios around creating complex objects and will explore a number of approaches to packaging and transport. Taking research papers, or scholarly works, as an example, the tutorial will explore the different ways in which these, and their descriptive metadata, can be treated as complex objects. Relevant application profiles and metadata formats will be introduced and compared, such as Dublin Core, in particular the DCMI Abstract Model, and MODS, alongside content packaging standards, such as METS MPEG 21 DIDL and IMS CP. Finally, we will consider some future issues and activities that are seeking to address these. The tutorial will be of interest to librarians and technical staff with an interest in metadata or complex objects, their creation, management and re-use.

Linked Open Data Principles, Technologies and Examples

NISO/DCMI Webinar: Metadata for Public Sector Administration

Govt. P.G. College Sendhwa, Barwani (M.P.)

This document summarizes a webinar on using metadata for public sector administration. It discusses the Asset Description Metadata Schema (ADMS), a vocabulary for describing semantic interoperability assets to facilitate their discovery and reuse. ADMS was developed to provide a common way to describe assets so they can be more easily searched, identified, compared and obtained from a single access point. It reuses terms from standards like Dublin Core and defines properties and classifications to characterize assets consistently.

Introduction to Metadata

Jenn Riley

Building a Digital Library

tomasz

JeromeDL is a social semantic digital library that allows users to easily publish and access resources online through metadata tagging and community sharing features. It integrates information from different metadata sources, provides interoperability between systems, and delivers more robust search interfaces powered by semantics. Resources are accessible by machines through rich metadata and the system involves the community in sharing knowledge through social features like comments, bookmarks, and user profiles.

Metadata harvesting Tools

This document discusses metadata harvesting tools. It defines metadata as "data about data" and explains that metadata harvesting is the process of gathering metadata from distributed repositories into a combined data store. The document outlines the need for metadata harvesting, including single platform discovery, easy sharing between libraries, and archiving. It provides examples of metadata harvesting services in India and tools used, and discusses considerations like metadata standards and library standards.

Mending the Gap between Library's Electronic and Print Collections in ILS and...

This presentation proposed a conceptual model to model user's info seeking behavior in the context of their experience and use the model to improve library's collections and services using St. John's University Libraries for case study. It reviewed Web content technologies offered by IT vendors, and compared what offered in content technologies by Library IT vendors. To fill in the gap, It developed the preliminary proposal for 1) required data architecture in SOA framework, 2) desired features for managing library print and electronic content on library's website, 3) adoption of Semantic Web standards and technologies for managing library resources, and 4) the case study scenario with sample conceptual model.

Metadata and Tagging

pauloshea

Metadata is data that describes other data. It allows resources to be discovered, organized, and integrated. There are three main types of metadata: descriptive, structural, and administrative. Metadata makes resources searchable, cites their authors, and facilitates collaboration and reuse of information. It is key to ensuring access and preservation of digital resources over time. Common metadata schemes include Dublin Core, which specifies 15 core elements for describing resources.

Linked Open Data

Lars Marius Garshol

This document discusses Linked Open Data and how to publish open government data. It explains that publishing data in open, machine-readable formats and linking it to other external data sources increases its value. It provides examples of published open government data and outlines best practices for making data open through licensing, standard formats like CSV and XML, using URIs as identifiers, and linking to related external data. The key benefits outlined are empowering others to build upon the data and improving transparency, competition and innovation.

April 24, 2013 NISO/DCMI Webinar: Deployment of RDA (Resource Description and...

This document summarizes a webinar on deploying Resource Description and Access (RDA) cataloging and expressing it as linked data. The webinar speaker, Alan Danskin from the British Library, discussed RDA as a cataloging standard that provides guidelines for describing resources to support discovery. He explained how RDA works with linked data by using entities, relationships, and attributes expressed as URIs. Challenges in applying RDA as linked data include the complexity of the FRBR model and publishing RDA vocabularies as linked open data. Application profiles help apply RDA by defining the metadata elements, policies, and guidelines for a specific domain or community.

WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.

`Shweta Bhavsar

This document discusses metadata standards and provides details on Dublin Core. It defines metadata as "structured data about data" and explains its role in digital resource management. It outlines different types of metadata standards including descriptive, structural, and administrative. Dublin Core is introduced as a general metadata standard consisting of 15 elements used to describe resources. It was developed in 1995 to make it easy to discover web resources by providing a simple yet flexible set of elements for description. The document provides details on the development and governance of Dublin Core as well as its two forms: simple Dublin Core with 15 elements, and qualified Dublin Core which includes additional elements and properties.

Role of Cataloger in the 21st Century Academic Library

Professional catalogers in an academic library have professional responsibilities in librarianship, scholarship, and services to the library, institute, and professional organizations. However, whatever the catalogers do have to be in alignment with strategic directions of the academic library, and contribute to its institutional effectiveness. This presentation uses several projects from Georgia Tech Library as examples to illuminate the subject matter on the role cataloger in the 21st century academic library. It first discusses the role of cataloger in assisting the removal of print collections out of GT Library building and creating a seamless collection with Emory resources in EmTech Library Services Center (LSC). It then discusses the role of cataloger in cataloging and metadata management from the perspectives of resource discovery, data curation, repository services, eResearch archive, and digitization.

Metadata: Towards Machine-Enabled Intelligence

dannyijwest

World Wide Web has revolutionized the means of data availability, but with its current structure model , it is becoming increasingly difficult to retrieve relevant information, with reasonable precision and recall, using the major search engines. However, with use of metadata, combined with the use of improved searching techniques, helps to enhance relevant information retrieval .The design of structured, descriptions of Web resources enables greater search precision and a more accurate relevance ranking of retrieved information .One such efforts towards standardization is , Dublin Core standard, which has been developed as Metadata Standard and also other standards which enhances retrieval of a wide range of information resources. This paper discuses the importance of metadata, various metadata schemas and elements, and the need of standardization of Metadata. This paper further discusses how the metadata can be generated using various tools which assist intelligent agents for efficient retrieval

Metadata

saurabh kaushik

This document discusses metadata, which is structured data that describes and helps manage information resources. There are different types of metadata including descriptive, structural, and administrative. Metadata serves important functions like allowing resources to be discovered and organized. Several metadata standards are discussed, including Dublin Core, METS, MODS, EAD, and LOM. The document also covers metadata creation, quality issues, and ways metadata can be improved.

NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend

Over the past decade, as the scholarly community’s reliance on e-content has increased, so too has the development of preservation-related digital repositories. The need for descriptive, administrative, and structural metadata for each digital object in a preservation repository was clearly recognized by digital archivists and curators. However, in the early 2000’s, most of the published specifications for preservation-related metadata were either implementation specific or broadly theoretical. In 2003, the Online Computer Library Center (OCLC) and Research Libraries Group (RLG) established an international working group called PREMIS (Preservation Metadata: Implementation Strategies) to develop a common core set of metadata elements for digital preservation. The first version of the PREMIS Data Dictionary for Preservation Metadata and its supporting XML schema was issued in 2005. Experience using its specifications in preservation repositories has led to several revisions, with the completion of a version 2.0 in 2008. The Data Dictionary is now in version 2.2 (July 2012), and it is widely implemented in preservation repositories throughout the world in multiple domains.

Advantages of metadata

Azeem Sultan

Metadata provides consistency, clarity, and data lineage. It defines structured information about documents and content like author, title, and keywords. There are three main types - descriptive, structural, and administrative. Metadata is used to identify, manage, retrieve, and track usage of content. It provides consistency of definitions between different terminology, clarity of relationships between entities, and clarity of where data originated from and how it has changed over time.

Introduction to metadata management

Metadata in Business Intelligence

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What's hot

Introduction to Dublin Core Metadata

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The Mysteries of Metadata

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NISO DCMI Webinar bibframe-20130123

NISO/DCMI Webinar: Metadata for Managing Scientific Research Data

Object models and object representation

Julie Allinson

Linked Open Data Principles, Technologies and Examples

NISO/DCMI Webinar: Metadata for Public Sector Administration

Govt. P.G. College Sendhwa, Barwani (M.P.)

Introduction to Metadata

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Metadata harvesting Tools

Mending the Gap between Library's Electronic and Print Collections in ILS and...

Metadata and Tagging

pauloshea

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April 24, 2013 NISO/DCMI Webinar: Deployment of RDA (Resource Description and...

WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.

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NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend

Advantages of metadata

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What's hot (20)

Introduction to Dublin Core Metadata

The Mysteries of Metadata

NISO DCMI Webinar bibframe-20130123

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Object models and object representation

Linked Open Data Principles, Technologies and Examples

NISO/DCMI Webinar: Metadata for Public Sector Administration

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Metadata harvesting Tools

Mending the Gap between Library's Electronic and Print Collections in ILS and...

Metadata and Tagging

Linked Open Data

April 24, 2013 NISO/DCMI Webinar: Deployment of RDA (Resource Description and...

WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.

Role of Cataloger in the 21st Century Academic Library

Metadata: Towards Machine-Enabled Intelligence

Metadata

NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend

Advantages of metadata

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Metadata is a Love Note to the Future

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The document discusses the importance of metadata for archiving digital content and history. It describes how Jason Scott transformed from a "metadata skeptic" to a "metadata warrior" after his experiences rescuing data from Geocities. Proper metadata made the rescued data more useful, efficient to archive, and prevented duplication. The document advocates for taking a long-term view of digital content and using metadata to ensure information can be discovered and understood in the future.

Metadata in data warehouse

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Metadata contains answers to questions about the data in a data warehouse. It is stored in a metadata repository and describes pertinent details about the data to users, developers, and the project team. Metadata is necessary for using, building, and administering the data warehouse as it provides information about data extraction, transformations, structure, refreshment, and more. It serves important roles for both business users and IT staff across the data acquisition, storage, and delivery processes.

It's All About the Metadata

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UPDATED and REPLACED with new file June 2014 Simplified presentation on library metadata evolution, the perils of not curating the metadata properly, and how it's being used "in the wild". But…it’s all on the internet and a keyword search will find it, right? Not exactly... There's been a massive change in cataloging in libraries with the rise of the internet. Everything is connected, including our metadata. Catalogers are no longer isolated, and metadata management is no longer just an internal process. Everything we do now links to the wider world of metadata, pushing libraries into re-purposing our long-held work into the new frontiers of identity management and linked data.

Metadata Use Cases You Can Use

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Metadata provides a foundation for the cross-channel experiences we consume in the dawn of the 21st century by enabling consistency, context and interoperability. While Metadata is key to many of the User Experience methods we use – from triggering Content Strategy workflows to enabling faceted search through groups, sorts and filters, it remains a mystery to many of us. This session is a crash course on Metadata in the 21st century for UX Designers. We'll look at recent developments in the field, and build an understanding of how Metadata enables the exchange of information between parties, channels, systems and platforms through semantic, syntax and lexical specifications. Attendees will understand how Metadata fits into UX methods and tools they already know – using an ontology to support a mental model for example. This session is a must for all UX Designers looking to build meaningful cross-channel experiences in an increasingly interlinked world.

Hansen Metadata for Institutional Repositories

State Records Office of Western Australia

Taxonomy And Metadata

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This document discusses taxonomy and metadata. It defines taxonomy as a classification scheme designed to group related things together, which can be informal or highly formalized. Taxonomies are semantic and provide a fixed vocabulary to label content meaningfully. Taxonomies act as knowledge maps and artificial memory devices by structuring concepts. The document also defines metadata as "data about data" such as author, title, and other information about a document. Metadata is used to identify, manage, retrieve, and connect content, as well as support business processes and records management. Standards like Dublin Core are discussed, as well as challenges around enforcing metadata use and acquiring metadata from users.

Document Management in SharePoint without folders - Introduction to Metadata

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During the planning stage of LoCloud, in association with content partners, the Athena Research Centre (DCU) evaluated and appraised content and metadata among collections participating in LoCloud. This deliverables describes the methodology used, including the results of a survey and the conclusions of three content providers workshops organised between August and September. Authors: Costis Dallas Dimitris Gavrilis Stavros Angelis Dimitra Nefeli Makri Eleni Afiontzi Digital Curation Unit, Athena Research Centre Contributors: All Partners

Classifying Readmissions of Diabetic Patient Encounters

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Readmission rates in hospitals are a key indicator on quality of patient care and a clear indication of total cost or inconvenience related to the treatment. Patients with serious medical conditions such as diabetes mellitus are key drivers of readmission rates owing to the complexity of their illness. Therefore, being able to predict based on certain features whether or not a patient will need readmission can help doctors and hospitals provide better care initially and not get financially penalized under Obamacare’s readmission policy

Metadata Quality Assurance

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"Love notes to the future": research data, metadata and long term re-use

Health care data - survivial analysis, draft

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Readmission of Diabetes Patients Report

Hong Lu

This document provides a summary of a project to analyze factors related to readmission of diabetes patients using a dataset from 130 US hospitals. The team cleaned the data by removing attributes with high percentages of missing values, irrelevant attributes, and instances of deceased patients. They applied the SMOTE technique to address data imbalance, oversampling the minority readmission class by 200%. Three classifiers - J48 decision tree, Naive Bayes, and Bayes Net - were selected for experiments to predict patient readmission.

Machine Learning & Data Science come to DAM

Elliot Sedegah

Learn more at: www.adobe.com/go/dam Speakers: Elliot Sedegah, Jonas Dahl DAM is evolving from a content library to an intelligent platform to deliver customer experiences. The latest advances in machine learning and analytics are a part of this transition as these new technologies begin to find a productive role in the world of DAM. From auto-tagging to insights - the DAM of the future is on the horizon. This presentation will discuss: - The latest advances in machine learning & AI that are enhancing the DAM user experience and automating many formerly manual tasks. - How data science & analytics are changing the way we track asset usage and performance.

DAM and Digital Preservation, Beyond Metadata Standards: Ensuring Authenticit...

Emily Kolvitz

A DAM Digital Preservation Strategy can help save time & money, avoid legal and ethical problems, and, most importantly, avoid the front page of the New York Times. In this webinar, you will learn concepts of archival theory that easily translate to the practice of Digital Asset Management, in a variety of digital environments including Library, Archive, WIP (Works-in-Progress) DAMs, and assets living in the wild.

LIS457 - metadata for beginners - kaile glick

Kaile Glick

This document is an introduction to metadata written by Kaile Glick. It begins by defining metadata as "data about data" and provides examples like a book citation. The document then discusses how metadata is used by the mathematician Hari Seldon in Isaac Asimov's Foundation Trilogy to predict the future on a galactic scale by analyzing vast data sets. In modern times, metadata allows similar predictions about human behavior and disease spread by collecting and analyzing data from internet interactions, like communications metadata. The document aims to explain the broad concept of metadata through comparisons to science fiction and its real-world applications today.

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