Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap
Category: Metadata
Best Practices for Managing Data Annotation Projects
Library of Congress Recommended Formats Statement 2020-2021
"Thinking Digital Libraries for Preservation as Digital Cultural Heritage: By R to R4 Facet of FAIR Principles"
"Automatic Data Standardization for the Global Cryosphere Watch Data Portal"
"Crossref: The Sustainable Source of Community-Owned Scholarly Metadata "
"OpenCitations, an Infrastructure Organization for Open Scholarship"
"Persistent Identifiers for Heritage Objects"
"The Data Tags Suite (DATS) Model for Discovering Data Access and Use Requirements"
Paywall Article: "Managing Researcher Identity: Tools for Researchers and Librarians"
"ACS Publications Signs Agreement with ORCID to Recognize ACS Reviewers"
"Towards Trusted Identities for Swiss Researchers and their Data"
Paywall Article: "Documenting Georeferenced Social Science Survey Data: Limits of Metadata Standards and Possible Solutions"
"FAIR Data Reuse—The Path through Data Citation"
Requires ALA Login: "Metadata Revisited: Updating Metadata Profiles and Practices in a Vendor-Hosted Repository"
"Proper Attribution for Curation and Maintenance of Research Collections: Metadata Recommendations of the RDA/TDWG Working Group"
"Leaked Document on Elsevier Negotiations Sparks Controversy"
"The NIH Open Citation Collection: A Public Access, Broad Coverage Resource"
B. Ian Hutchins et al.have published "The NIH Open Citation Collection: A Public Access, Broad Coverage Resource" in PLoS Biology.
Here's an excerpt:
Citation data have remained hidden behind proprietary, restrictive licensing agreements, which raises barriers to entry for analysts wishing to use the data, increases the expense of performing large-scale analyses, and reduces the robustness and reproducibility of the conclusions. For the past several years, the National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) has been aggregating and enhancing citation data that can be shared publicly. Here, we describe the NIH Open Citation Collection (NIH-OCC), a public access database for biomedical research that is made freely available to the community. This dataset, which has been carefully generated from unrestricted data sources such as MedLine, PubMed Central (PMC), and CrossRef, now underlies the citation statistics delivered in the NIH iCite analytic platform. We have also included data from a machine learning pipeline that identifies, extracts, resolves, and disambiguates references from full-text articles available on the internet. Open citation links are available to the public in a major update of iCite (https://icite.od.nih.gov).
Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap
Paywall Article: "Old Metadata in a New World: Standardizing the Getty Provenance Index for Linked Data"
Paywall Article: "Text Mining and Subject Analysis for Fiction; or, Using Machine Learning and Information Extraction to Assign Subject Headings to Dime Novels"
Paywall Article: "Core Metadata Element Recommendations for Institutional Repositories at Texas A&M University Libraries"
"Metadata Documentation Practices at ARL Institutional Repositories"
Paywall Article: "Definitions of ‘Metadata’: A Brief Survey of International Standards"
"The MASi Repository Service—Comprehensive, Metadata-Driven and Multi-Community Research Data Management"
Richard Grunzke et al. have published "The MASi Repository Service—Comprehensive, Metadata-Driven and Multi-Community Research Data Management" in Future Generation Computer Systems.
Here's an excerpt:
Here, we present the architecture and developments of the Metadata Management for Applied Sciences (MASi) project that is currently building a comprehensive research data management service. MASi extends the existing KIT Data Manager framework by a generic metadata programming interface and a generic graphical web interface. Furthermore, MASi is OAI compliant and supports the OAI-PMH protocol while providing support for provenance information using ProvONE, a well-established and accepted provenance model. To illustrate the practical applicability of the MASi service, we present the adoption of initial use cases within geography, chemistry and digital humanities.
Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap