Crossref allows members to register and report metadata about publications including titles, authors, references, funding information, license details, and ORCID IDs. This metadata benefits both members and the public by helping members track and improve their research outputs over time, and helping the public find and assess research more easily. Crossref metadata supports linking, citing, and reusing research.
A small group of publishers met in 1999 with the problem of expanding reference linking challenges. They formed CrossRef to provide collaborative services that individual publishers could not accomplish alone, such as assigning digital object identifiers (DOIs) to references to allow linking between publications. CrossRef now has over 4,400 publisher members from 76 countries and provides services like reference linking, citation tracking, metadata sharing, and text and data mining across publications. It also partners with other organizations to develop standards and services that require cross-publisher collaboration, such as the FundRef registry of funder names.
Asis&t webinar people directories access innovationsBert Carelli
This document discusses using taxonomies to create people directories and author networks. It outlines Access Innovations' background in building taxonomies and their data harmony software. Taxonomies can play a role in developing better resources about people by linking entities like authors, publications, and institutions. This allows for knowledge discovery and collaboration through detailed author profiles, visualizing co-author networks, and integrating identity into publisher systems. Standards like VIAF, ORCID, and Project VIVO aim to connect names and publications across repositories through semantic linking of author data.
Connecting Dataverse with the Research Life CycleMerce Crosas
This document outlines how data repositories can connect with the research lifecycle. It discusses Dataverse, an open source data repository platform developed by IQSS at Harvard University. It describes several application programming interfaces (APIs) that can be used for interoperating with Dataverse, including OAI-PMH, SWORD, search, and data access APIs. It also lists several integrations that are implemented or in progress to connect Dataverse with other systems like the Open Science Framework (OSF) and support functions like depositing data management plans, data curation, assigning DOIs, and more.
Crossref is a not-for-profit organization with over 10,000 member organizations that registers, links, and distributes metadata for scholarly research outputs. It maintains a database of over 99 million content items, including journals, books, conference proceedings, and other materials. Crossref provides services to help publishers, reference managers, and other groups discover, cite, and assess scholarly research. Members join Crossref to help discover and track where their content is located online and to participate in collaborative initiatives around metadata and technology.
Crossref allows members to register and report metadata about publications including titles, authors, references, funding information, license details, and ORCID IDs. This metadata benefits both members and the public by helping members track and improve their research outputs over time, and helping the public find and assess research more easily. Crossref metadata supports linking, citing, and reusing research.
A small group of publishers met in 1999 with the problem of expanding reference linking challenges. They formed CrossRef to provide collaborative services that individual publishers could not accomplish alone, such as assigning digital object identifiers (DOIs) to references to allow linking between publications. CrossRef now has over 4,400 publisher members from 76 countries and provides services like reference linking, citation tracking, metadata sharing, and text and data mining across publications. It also partners with other organizations to develop standards and services that require cross-publisher collaboration, such as the FundRef registry of funder names.
Asis&t webinar people directories access innovationsBert Carelli
This document discusses using taxonomies to create people directories and author networks. It outlines Access Innovations' background in building taxonomies and their data harmony software. Taxonomies can play a role in developing better resources about people by linking entities like authors, publications, and institutions. This allows for knowledge discovery and collaboration through detailed author profiles, visualizing co-author networks, and integrating identity into publisher systems. Standards like VIAF, ORCID, and Project VIVO aim to connect names and publications across repositories through semantic linking of author data.
Connecting Dataverse with the Research Life CycleMerce Crosas
This document outlines how data repositories can connect with the research lifecycle. It discusses Dataverse, an open source data repository platform developed by IQSS at Harvard University. It describes several application programming interfaces (APIs) that can be used for interoperating with Dataverse, including OAI-PMH, SWORD, search, and data access APIs. It also lists several integrations that are implemented or in progress to connect Dataverse with other systems like the Open Science Framework (OSF) and support functions like depositing data management plans, data curation, assigning DOIs, and more.
Crossref is a not-for-profit organization with over 10,000 member organizations that registers, links, and distributes metadata for scholarly research outputs. It maintains a database of over 99 million content items, including journals, books, conference proceedings, and other materials. Crossref provides services to help publishers, reference managers, and other groups discover, cite, and assess scholarly research. Members join Crossref to help discover and track where their content is located online and to participate in collaborative initiatives around metadata and technology.
Exploration of a Data Landscape using a Collaborative Linked Data Framework.Laurent Alquier
The document discusses using a collaborative linked data framework to explore a data landscape. It describes how the framework helps scientists access and integrate disparate data sources to answer translational research questions. Key components of the framework include a semantic wiki for cataloging data sources, linking data concepts, querying across sources, and visualizing relationships between sources. The goal is to provide scientists with flexible tools to discover and leverage relevant data without needing expertise in data management.
Persistent Identifier Services and their Metadata by John Kunzedatascienceiqss
Persistent identifiers (Pids) provide machine-actionable links to data and metadata that are vital to APIs (application programming interfaces) for publishing and citation. APIs are essentially request/response patterns that use Pids to reference things and metadata to describe not only the things themselves, but also any actions requested or taken. As a result, metadata design and standardization is wedded to API design and enhancement. With Pids as nouns and metadata as adjectives and qualifiers, Pid services play a key role in API implementation.
As BioPharma adapts to incorporate nimble networks of suppliers, collaborators, and regulators the ability to link data is critical for dynamic interoperability. Adoption of linked data paradigm allows BioPharma to focus on core business: delivering valuable therapeutics in a timely manner.
This document discusses strategies for effective data sharing. It recommends that researchers publish data papers to get credit for sharing complex datasets. Data papers describe the acquisition methods and quality of metadata in detail through a peer review process. Several journals are identified as options for publishing data papers. The document also provides tips for organizing and sharing data, such as preparing consent forms in advance, choosing appropriate repositories, and working with anonymized data when possible to improve data sharing.
This presentation was provided by Sandi Caldrone of Purdue during the NISO Virtual Conference held on Feb 15, 2017, entitled Institutional Repositories: Ensuring Yours is Populated, Useful and Thriving.
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Tom Plasterer
As scientists in the life sciences we are trained to pursue singular goals around a publication or a validated target or a drug submission. Our failure rates are exceedingly high especially as we move closer to patients in the attempt to collect sufficient clinical evidence to demonstrate the value of novel therapeutics. This wastes resources as well as time for patients depending upon us for the next breakthrough.
Edge Informatics is an approach to ameliorate these failures. Using both technical and social solutions together knowledge can be shared and leveraged across the drug development process. This is accomplished by making data assets discoverable, accessible, self-described, reusable and annotatable. The Open PHACTS project pioneered this approach and has provided a number of the technical and social solutions to enable Edge Informatics. A number of pre-competitive consortia and some content providers have also embraced this approach, facilitating networks of collaborators within and outside a given organization. When taken together more accurate, timely and inclusive decision-making is fostered.
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...Tom Plasterer
Edge Informatics is an approach to accelerate collaboration in the BioPharma pipeline. By combining technical and social solutions knowledge can be shared and leveraged across the multiple internal and external silos participating in the drug development process. This is accomplished by making data assets findable, accessible, interoperable and reusable (FAIR). Public consortia and internal efforts embracing FAIR data and Edge Informatics are highlighted, in both preclinical and clinical domains.
This talk was presented at the Molecular Medicine Tri-Conference in San Francisco, CA on February 20, 2017
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
This document provides an overview of data management best practices for graduate students presented in a workshop. It discusses what constitutes research data, the importance of managing data, how to create a data management plan, file naming conventions, metadata, data storage and backup strategies, and archiving options. The workshop covers topics like using a structured folder system, creating codebooks and documentation to describe data, and ensuring long-term access and preservation of research data. University librarians are available to help students with all aspects of responsible data management.
Dataset description using the W3C HCLS standardmhaendel
This talk was presented at the BioCaddie http://biocaddie.org/ workshop at the Force15 conference (https://www.force11.org/meetings/force2015) on changing the future of scholarly communication. The goal was to increase awareness of why a Semantic Web-compliant standard was needed for describing data, where current standards fall short, and how this new emerging standard that extends prior efforts can aid data discovery and integration. This work is being lead by Michel Dumontier, Alasdair Gray, Joachim Baran, and M. Scott Marshall; participants and end-user testers are welcome, see: http://tiny.cc/hcls-datadesc-ed
This document discusses several academic social network sites that researchers can use to build their professional reputation and find collaborators. It provides an overview of the main features and functions of Academia.edu, ResearchGate, Mendeley, and SSRN. These sites allow users to create profiles, share and discuss papers, and find others in their fields of research. The document then compares the sites on metrics like user base size, document sharing and analytics available. It concludes with suggestions for how researchers and librarians can utilize these tools.
This presentation was provided by Kathryn Funk of The U.S. National Library of Medicine (NIH), and Jeff Beck of The National Center for Biotechnology Information (NCBI), during the NISO Event "Open Access: The Role and Impact of Preprint Servers," held November 14 - 15, 2019.
Creating impact with accessible data in agriculture and nutrition: sharing da...godanSec
Richard Finkers (Wageningen UR) presented at the 2nd International Workshop: Creating Impact with Open Data in Agriculture and Nutrition in The Hague, 11 September 2015.
Fedora is an open source digital repository system that is flexible, durable, and standards-based. It is developed and supported by a thriving community to store, preserve, and provide access to digital objects. Fedora repositories can handle both simple and complex use cases and content models. Examples of Fedora implementations include institutional repositories, research data repositories, digital archives and special collections, and manuscript collections.
FAIR Data Knowledge Graphs–from Theory to PracticeTom Plasterer
This document discusses building FAIR data knowledge graphs from theory to practice. It begins by outlining what R&D researchers want to do with data, such as understanding disease mechanisms and using patient data, but that currently data is fragmented across systems. It then introduces the FAIR data principles and describes building a knowledge graph that incorporates data from multiple sources using standards like the Data Catalog vocabulary. The key challenges discussed are determining canonical representations for entities and linking data to public vocabularies through an enrichment process.
This presentation is an introduction to DSpace for archiving digital content.
Presented as part of a webinar series by Enovation Solutions, a Duraspace Service Provider http://www.enovation.ie
This document provides an analysis of internationalizing the Quella bicycle brand into the Italian market. It begins with an introduction of Quella and justification for why internationalization is being considered. The analysis then examines key aspects of entering the Italian market, including social/cultural, legal/regulatory, economic, political, and technological factors. Segmentation, targeting, positioning, market entry strategy, and a full marketing mix plan are proposed to support entering Italy. The plan includes budgets, objectives, and a monitoring system for the first three years.
This document provides an introduction and literature review for a research paper that will examine inherent prejudices in refugee crises and policies using case studies of the current Syrian refugee crisis and World War II. The introduction outlines how the size and forced nature of recent migration flows have challenged global responses. The literature review discusses previous research on topics like state responsibility towards refugees, the role of international relations and institutions, and how examining past crises can inform understanding of current issues. The research will analyze primary and secondary sources to compare how Jewish refugees were treated in 1939 during World War II versus the post-war 1940s, focusing on responses from the US and UK.
Exploration of a Data Landscape using a Collaborative Linked Data Framework.Laurent Alquier
The document discusses using a collaborative linked data framework to explore a data landscape. It describes how the framework helps scientists access and integrate disparate data sources to answer translational research questions. Key components of the framework include a semantic wiki for cataloging data sources, linking data concepts, querying across sources, and visualizing relationships between sources. The goal is to provide scientists with flexible tools to discover and leverage relevant data without needing expertise in data management.
Persistent Identifier Services and their Metadata by John Kunzedatascienceiqss
Persistent identifiers (Pids) provide machine-actionable links to data and metadata that are vital to APIs (application programming interfaces) for publishing and citation. APIs are essentially request/response patterns that use Pids to reference things and metadata to describe not only the things themselves, but also any actions requested or taken. As a result, metadata design and standardization is wedded to API design and enhancement. With Pids as nouns and metadata as adjectives and qualifiers, Pid services play a key role in API implementation.
As BioPharma adapts to incorporate nimble networks of suppliers, collaborators, and regulators the ability to link data is critical for dynamic interoperability. Adoption of linked data paradigm allows BioPharma to focus on core business: delivering valuable therapeutics in a timely manner.
This document discusses strategies for effective data sharing. It recommends that researchers publish data papers to get credit for sharing complex datasets. Data papers describe the acquisition methods and quality of metadata in detail through a peer review process. Several journals are identified as options for publishing data papers. The document also provides tips for organizing and sharing data, such as preparing consent forms in advance, choosing appropriate repositories, and working with anonymized data when possible to improve data sharing.
This presentation was provided by Sandi Caldrone of Purdue during the NISO Virtual Conference held on Feb 15, 2017, entitled Institutional Repositories: Ensuring Yours is Populated, Useful and Thriving.
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Tom Plasterer
As scientists in the life sciences we are trained to pursue singular goals around a publication or a validated target or a drug submission. Our failure rates are exceedingly high especially as we move closer to patients in the attempt to collect sufficient clinical evidence to demonstrate the value of novel therapeutics. This wastes resources as well as time for patients depending upon us for the next breakthrough.
Edge Informatics is an approach to ameliorate these failures. Using both technical and social solutions together knowledge can be shared and leveraged across the drug development process. This is accomplished by making data assets discoverable, accessible, self-described, reusable and annotatable. The Open PHACTS project pioneered this approach and has provided a number of the technical and social solutions to enable Edge Informatics. A number of pre-competitive consortia and some content providers have also embraced this approach, facilitating networks of collaborators within and outside a given organization. When taken together more accurate, timely and inclusive decision-making is fostered.
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...Tom Plasterer
Edge Informatics is an approach to accelerate collaboration in the BioPharma pipeline. By combining technical and social solutions knowledge can be shared and leveraged across the multiple internal and external silos participating in the drug development process. This is accomplished by making data assets findable, accessible, interoperable and reusable (FAIR). Public consortia and internal efforts embracing FAIR data and Edge Informatics are highlighted, in both preclinical and clinical domains.
This talk was presented at the Molecular Medicine Tri-Conference in San Francisco, CA on February 20, 2017
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
This document provides an overview of data management best practices for graduate students presented in a workshop. It discusses what constitutes research data, the importance of managing data, how to create a data management plan, file naming conventions, metadata, data storage and backup strategies, and archiving options. The workshop covers topics like using a structured folder system, creating codebooks and documentation to describe data, and ensuring long-term access and preservation of research data. University librarians are available to help students with all aspects of responsible data management.
Dataset description using the W3C HCLS standardmhaendel
This talk was presented at the BioCaddie http://biocaddie.org/ workshop at the Force15 conference (https://www.force11.org/meetings/force2015) on changing the future of scholarly communication. The goal was to increase awareness of why a Semantic Web-compliant standard was needed for describing data, where current standards fall short, and how this new emerging standard that extends prior efforts can aid data discovery and integration. This work is being lead by Michel Dumontier, Alasdair Gray, Joachim Baran, and M. Scott Marshall; participants and end-user testers are welcome, see: http://tiny.cc/hcls-datadesc-ed
This document discusses several academic social network sites that researchers can use to build their professional reputation and find collaborators. It provides an overview of the main features and functions of Academia.edu, ResearchGate, Mendeley, and SSRN. These sites allow users to create profiles, share and discuss papers, and find others in their fields of research. The document then compares the sites on metrics like user base size, document sharing and analytics available. It concludes with suggestions for how researchers and librarians can utilize these tools.
This presentation was provided by Kathryn Funk of The U.S. National Library of Medicine (NIH), and Jeff Beck of The National Center for Biotechnology Information (NCBI), during the NISO Event "Open Access: The Role and Impact of Preprint Servers," held November 14 - 15, 2019.
Creating impact with accessible data in agriculture and nutrition: sharing da...godanSec
Richard Finkers (Wageningen UR) presented at the 2nd International Workshop: Creating Impact with Open Data in Agriculture and Nutrition in The Hague, 11 September 2015.
Fedora is an open source digital repository system that is flexible, durable, and standards-based. It is developed and supported by a thriving community to store, preserve, and provide access to digital objects. Fedora repositories can handle both simple and complex use cases and content models. Examples of Fedora implementations include institutional repositories, research data repositories, digital archives and special collections, and manuscript collections.
FAIR Data Knowledge Graphs–from Theory to PracticeTom Plasterer
This document discusses building FAIR data knowledge graphs from theory to practice. It begins by outlining what R&D researchers want to do with data, such as understanding disease mechanisms and using patient data, but that currently data is fragmented across systems. It then introduces the FAIR data principles and describes building a knowledge graph that incorporates data from multiple sources using standards like the Data Catalog vocabulary. The key challenges discussed are determining canonical representations for entities and linking data to public vocabularies through an enrichment process.
This presentation is an introduction to DSpace for archiving digital content.
Presented as part of a webinar series by Enovation Solutions, a Duraspace Service Provider http://www.enovation.ie
This document provides an analysis of internationalizing the Quella bicycle brand into the Italian market. It begins with an introduction of Quella and justification for why internationalization is being considered. The analysis then examines key aspects of entering the Italian market, including social/cultural, legal/regulatory, economic, political, and technological factors. Segmentation, targeting, positioning, market entry strategy, and a full marketing mix plan are proposed to support entering Italy. The plan includes budgets, objectives, and a monitoring system for the first three years.
This document provides an introduction and literature review for a research paper that will examine inherent prejudices in refugee crises and policies using case studies of the current Syrian refugee crisis and World War II. The introduction outlines how the size and forced nature of recent migration flows have challenged global responses. The literature review discusses previous research on topics like state responsibility towards refugees, the role of international relations and institutions, and how examining past crises can inform understanding of current issues. The research will analyze primary and secondary sources to compare how Jewish refugees were treated in 1939 during World War II versus the post-war 1940s, focusing on responses from the US and UK.
Desenvolvimento econômico meio_ambiente_e_constituição_federal_de_1988Natalia Araújo Storck
1) O documento discute os fundamentos do desenvolvimento econômico atual e o neoliberalismo, destacando como a Guerra Fria estimulou o crescimento econômico nos Estados Unidos e União Soviética de forma irresponsável com o meio ambiente.
2) A cultura do consumo que surgiu após a Segunda Guerra Mundial intensificou a exploração dos recursos naturais e a poluição.
3) Grandes corporações exploram irresponsavelmente os recursos e as pessoas em países subdesenvolvidos, comprometendo o
Case Study - Currency from the Cloud: Security & Compliance for Payment ProviderArmor
Steve Roderick, CEO of gotoBilling, differentiates his end-to-end software payment service in a highly competitive marketplace. How? He trusts a formula that’s a critical component of every business. Sound security — particularly when properly layered — helps organizations defend against breach, protect their brands, ensure compliance and avoid fines. And it’s a message that’s resonating with customers and winning business.
The document discusses migrating from Magento 1 to Magento 2. It recommends treating the migration as a platform switch rather than a 1:1 copy, deciding what data to keep, and rethinking strategies and goals. It also covers using the official migration tools to migrate code, data, and settings in a multi-step process, and highlights some common challenges like mapping customizations and third-party extensions.
Makayla Meador, known professionally as Evergreen, is an electronic music producer based in Eugene, Oregon. After years of vocal and keyboard training, she launched her career as a DJ, performing at various local venues and festivals. In just ten months of producing her own music, Evergreen landed a coveted opening spot at the 2016 Mad Decent Block Party in Eugene, performing alongside major artists like Tiësto and Dillon Francis. She continues to work on solo projects and collaborations while playing shows across Oregon.
IWMW 2002: The Value of Metadata and How to Realise ItIWMW
This document summarizes a discussion on metadata and content management systems. The discussion examined the value of metadata for effective information retrieval, potential problems with metadata like inconsistent standards and fields, and ways to safeguard against those problems. It also considered where metadata should be stored (embedded, centralized database, or both) and who should be responsible for creating and maintaining metadata (content creators, webmasters, librarians, etc.). Finally, it briefly discussed how content management systems could help address issues around metadata and content management.
A Data Citation Roadmap for Scholarly Data RepositoriesLIBER Europe
This document summarizes a webinar about developing a roadmap for data citation in scholarly data repositories. The webinar discussed recommendations for repositories to support unique, persistent identifiers for datasets that resolve to landing pages containing human- and machine-readable metadata. It also covered tracking data citations between repositories and publishers, and next steps to publish an updated recommendations paper incorporating feedback from the community. The webinar was presented by experts from DataCite, Harvard University and other organizations to facilitate best practices for data citation.
Wheat Data Interoperability (2) by Esther DZALE YEUMO KABORE and Richard FULSSCIARD Movement
Presentation delivered at the Agricultural Data Interoperability Interest Group -- Research Data Alliance (RDA) 4th Plenary Meeting -- Amsterdam, September 2014
This document discusses strategies for implementing social media and metadata management in SharePoint. It begins with definitions of social media and metadata. It then discusses why metadata is important for enabling search, discovery, and reuse of content. Common problems with inconsistent or lacking metadata are explained. The document outlines best practices for planning a social media strategy including defining requirements, centralizing taxonomy, and recruiting key stakeholders. Emerging technologies that integrate with social media are also highlighted.
LOR Characteristics and ConsiderationsScott Leslie
The document summarizes the findings of a research project that evaluated 6 different learning object repository (LOR) products. It discusses some of the issues with LORs, such as their immaturity as a technology and market. It provides high-level summaries of the 6 products reviewed, noting their main strengths and weaknesses. Overall, it finds the products generally support search/browse but lack features like syndication, community/evaluation, and content aggregation. It concludes that the best LOR solution depends on how the problem is defined and what existing systems are in place.
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...Jenn Riley
This document discusses tools and techniques for creating, maintaining, and distributing shareable metadata. It emphasizes that metadata should be structured to be understandable outside of local contexts and useful for other institutions. Key aspects of shareable metadata include using appropriate content and vocabularies, ensuring records are coherent, providing useful context, and conforming to standards. The document also outlines example workflows and considerations for making metadata shareable.
Metadata Management In A Social Media World, Spsbos, 2 2010Christian Buckley
Presentation given at the Feb 27, 2010 SharePoint Saturday event in Boston (Waltham, MA) by Christian Buckley, Senior Product Manager with echoTechnology. The premise of the presentation is that metadata and taxonomy drive the integration and business utility of social media.
This is a discussion about knowledge management in both artifact and tacid approach and how SharePoint can be used to apply this. We will look at tools in sharepoint, how traditional approach and pervasive approach could be applied and lastly at clutural issues that needs to be overcome in moving to a more pervasive environment.
11 Strategic Considerations for SharePoint MigrationsChristian Buckley
Presentation given 9/11/2010 at SharePoint Saturday East Bay in San Ramon, California.
The majority of a migration effort has nothing to do with the actual technical move of content and bits, but is a planning activity. This presentation walks through 11 areas of focus, sharing best practices.
Data discovery through federated dataset catalogsValeria Pesce
The document discusses data discovery through federated dataset catalogs. It notes that there are many institutional and thematic catalogs that need to be searched. Federated metadata catalogs and secondary catalogs can help by allowing searches across multiple primary catalogs. Good metadata practices at both the primary catalog and secondary catalog levels are important for discovery, including using open, interoperable standards and vocabularies. The document examines current practices for agricultural data discovery and identifies opportunities for improving metadata quality and standards to enhance discovery across institutional boundaries.
Data Management Planning for researchersSarah Jones
This document provides information about creating a data management plan (DMP) for researchers. It begins with defining what a DMP is - a short plan that outlines what data will be created, how it will be managed and stored, and plans for sharing and preservation. It then discusses the common components of a DMP, including describing the data, standards and methodologies, ethics and intellectual property, data sharing plans, and preservation strategies. The document provides examples of DMP requirements and recommendations from funders. It offers tips for creating a good DMP, including thinking about the needs of future data re-users, consulting stakeholders, grounding plans in reality, and planning for sharing from the outset. Finally, it discusses tools and resources
Assessment of Metadata Remediation EffortsJenn Riley
Riley, Jenn. "Assessment of Metadata Remediation Efforts." Metadata Enhancement and OAI Workshop (MEOW), Robert W. Woodruff Library, Emory University, July 24-25, 2006.
chapter 1-Overview of Information Retrieval.pptSamuelKetema1
The document provides an overview of information retrieval systems, including:
1) It describes the key components and processes of an IR system, including indexing, searching, and ranking documents in response to user queries.
2) It discusses some of the main challenges in IR like text representation, query formulation, and evaluating system effectiveness.
3) It outlines the typical architecture of an IR system with indexing and searching subsystems, and describes the indexing process of representing documents as index terms.
Stuart Weibel discusses missing pieces in establishing globally interoperable metadata systems. Experts identify the most important missing pieces as tools to support metadata reuse across domains and widespread adoption of common metadata approaches. Conceptual issues include a lack of research on decentralized data management and choosing vocabularies. Organizational impediments include economic models that inhibit data sharing and the difficulty of getting organizations to adopt common standards due to inertia and lack of clear paths forward. Addressing these issues would improve prospects for interoperable metadata systems.
Viva Topics brings advanced content services solutions into your existing Microsoft 365 environment. If you are struggling with content or knowledge management, deploying Viva Topics could help your employee's experience for finding content and people.
In this session we will go through what Viva Topics is, how it works, and how to effectively deploy it in your organization.
How your metadata strategy impacts everything you doChristian Buckley
Christian Buckley discusses the importance of metadata strategy for SharePoint implementations. He explains that without a clear taxonomy and metadata plan, content becomes difficult to find, share, and govern. Buckley recommends mapping high-level site collections and content types, understanding current and future metadata needs, and establishing a governance model to guide the process. With a strong metadata strategy in place, organizations can better leverage SharePoint services and improve collaboration.
Looking Under the Hood: How Your Metadata Strategy Impacts Everything You DoChristian Buckley
A SharePoint 101 presentation that outlines metadata, taxonomy, and governance - what they are, why they are important, and how they affect everything you do inside SharePoint (specifically, SP2010)
Presentation for Metadata Working Group at Cornell. Based on book chapter (with Diane Hillmann) in "Metadata in Practice". For some reason it has become unexpectedly citable.
This document provides information for a database design concepts module, including the aims, objectives, content, learning outcomes and assessment criteria. The module will explore database architecture, design techniques, and applying design skills to create complex databases. Students will understand databases, data management systems, and design approaches. They will learn to design, create, document and evaluate a database containing multiple interrelated tables to address a case study on an art gallery. The module will be assessed through an individual report of approximately 4,500 words applying the concepts to design a database solution for the case study.
Similar to Recommendations Analysis Dashboard (20)
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...Marlon Dumas
This webinar discusses the limitations of traditional approaches for business process simulation based on had-crafted model with restrictive assumptions. It shows how process mining techniques can be assembled together to discover high-fidelity digital twins of end-to-end processes from event data.
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.
1. Metadata Evaluation and Guidance for
Curation and Improvement
Sean Gordon
(scgordon@hdfgroup.org)
Ted Habermann
John Kozimor
The HDF Group
1
2. Terminology
Concept : General term for describing a documentation entity (e.g.
Title, Revision Date, Process Step, Spatial Extent).
Profile: A set of concepts required to support a particular
documentation need or use case for a recommendation.
Recommendation: A set of concepts that a group believes is required
for achieving a documentation goal.
Dialect : A particular form of the documentation language that is
specific to a community (e.g. ISO, DIF, CSDGM, EML, ECHO).
Collection: A group of metadata records, commonly organized by a
data center, organization or project and often stored in a database or
web accessible folder.
3. Recommendations Analysis Dashboard
3
Documentation
Metadata
data.ucar.edu
• Interactive exploratory metadata concept evaluation tool.
• Enables metadata for a single dialect to be easily evaluated using multiple
recommendations (eg. CSW, DataCite, UMM).
• Designed to run on collections.
• Provides a dashboard interface with 4 different visualizations
• Requires a data sheet, created by HDF metadata team.
Recommendation
Dialect
Comparison
Field
Summary
Concept
Guidance Links
Signature Score
Groups
4. Recommendation / Dialect Comparison
4
Documentation
Metadata
Sharable Metadata
data.ucar.edu
Identify gaps
between dialects
and
recommendations
5. Collection Concept Occurrence %
5
Documentation
Metadata
Sharable Metadata
data.ucar.eduIdentify fields that are
missing from dialect,
missing from collection,
complete, or partial
-100% = Concept Not in Dialect
0% = Concept Not in Collection
100% = Concept in All Records
54% = Concept in Some Records
9. Prioritizing Metadata Improvement
1. What recommendations are most important to your organization?
a) DataCite, b) DCAT, c) DIF
2. What recommendation levels are most important to your organization?
- Not all recommendations are required
3. What concepts are missing from the most metadata records?
- Fix the concept missing in 90% of your records before the concept
missing in 7% if they are part of the same profile.
4. What concepts are missing from the multiple recommendations?
- Improve completeness score for multiple recommendations by fixing
1 concept.
http://wiki.esipfed.org/index.php/Documentation_Recommendations
10. Metadata Improvement Guidance
1. How do I access online guidance for fixing missing concepts?
That’s great, but it doesn’t tell me how I identify which records are missing
concepts…
16. Metadata Improvement Process
1. Prioritize which concepts should be fixed first
2. Identify records with missing concepts
3. Curate the metadata.
17. Strengths of the workflow
• Easy to read and understand
• Metadata dialect is not limited to one standard
• Community recommendation is not limited to
one dialect
• Use the results with your own system
• Quick to add new recommendations
• Direct quantitative guidance
• Easily accessible guidance documentation
December 14, 2015 AGU 2015 17