- Metadata for Managing Scientific Data (2012) – Overview of data and metadata's role in enabling discovery and access of scientific research data. Discusses challenges in selection and use of metadata schema amid the "messiness" of the science data deluge.
- Introduction to Metadata (2008) – An online publication devoted to metadata, its types and uses, and its value in improving access to digital resources.
- The Metadata [R]evolution: Transformative Opportunities (2013) – Presentations and papers from a September 2013 OCLC-sponsored workshop on the future of metadata. Includes presentations on library roles and making research data discoverable and usable.
- isCitedBy: A Metadata Scheme for DataCite (January 2011) – The DataCite Metadata Scheme is being designed to support dataset citation and discovery. It features a small set of mandatory properties, and an additional set of optional properties for more detailed description. Among these is a powerful mechanism for describing relationships between the registered dataset and other objects.
- Understanding Metadata: What is Metadata, and What is it For?: A Primer (2017) – A NISO primer authored by Jenn Riley.
- Disciplinary Metadata – Resource from the Digital Curation Center for those looking for specific disciplinary metadata specifications. The site provides links to disciplinary metadata standards, profiles, tools to implement the standards, and current repository use cases. For disciplines that do not currently have a standard and for intradisciplinary repositories, the General Research section links to information about broader metadata standards that have been adapted to suit needs of research data.
- Ontology Lookup Service – Provides a web service interface to query multiple ontologies from a single location with a unified output format. The OLS can integrate any ontology available in the Open Biomedical Ontology (OBO) format.
- Glossary of Metadata Standards (2010) – Glossary created by the University of Indiana Libraries, acronyms arranged alphabetically.
Below is just a small sampling of metadata standards by discipline:
- Biology and Life Sciences
- NIH Common Data Elements – NIH portal that contains data elements common to many data sets across differing studies. CDEs support the improvement of data quality and data sharing. View collections of CDEs by specific project, or subject area.
- BioSharing – Works to map the landscape of community developed standards in the life sciences, broadly covering biological, natural and biomedical sciences. BioSharing's goal is to ensure standards are informative and discoverable.
- Darwin Core – A body of standards, including a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing reference definitions, examples, and commentaries.
- ABCD - Access to Biological Collection Data – A standard for the access to and exchange of primary biodiversity data, including specimens and observations.
- OME-XML - Open Microscopy Environment XML – A metadata standard and data file format for biological light microscopy data.
- NINDS Common Data Elements – Metadata standards for the National Institute of Neurological Disorders and Stroke
- Physical Sciences
- Unified Astronomy Thesaurus – An open, interoperable and community-supported thesaurus which unifies the existing divergent and isolated Astronomy & Astrophysics thesauri
- AVM - Astronomy Visualization Metadata – A standard defining discovery metadata for fully rendered astronomical imagery.
- SPASE Data Model – An information model for describing the elements of the heliophysics data environment.
- CSMD-CCLRC Core Scientific Metadata Model – A study-data oriented model that captures high-level information about scientific studies and the data that they produce, primarily tailored for the physical sciences.
- Earth Sciences
- ISO 19115 – An internationally-adopted schema for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.
- Observations and Measurements – This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O&M) conceptual model, including a schema for Sampling Features.
last edited 11/1/2019