Australian Corpus of English (ACE)
The Australian Corpus of English (ACE) was compiled to match Australian data from 1986 with the American (Brown) and British (LOB) corpora of written English from the 1960s. It includes 500 samples of published texts taken from 15 different categories of nonfiction and fiction, including newspapers, reportage, editorials, reviews; magazines and journals: popular, academic; government and corporate documents; fiction monographs and short stories (both popular and literary). This collection was previously accessible online via the Australian National Corpus (AusNC), an initiative managed by Griffith University between 2012 and 2023.
History
Q/A Log
- Institutional review completed
- FAIR assessment completed
FAIR Self Assessment Summary
This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool Findable -------- Does the dataset have any identifiers assigned? Global Is the dataset identifier included in all metadata records/files describing the data? No How is the data described with metadata? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible ---------- How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? Standard web service API (e.g. OGC) Will the metadata record be available even if the data is no longer available? Yes Interoperable ------------- What (file) format(s) is the data available in? In a structured, open standard, machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? No standards have been applied in the description of data elements How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? The metadata record includes URI links to related metadata, data and definitions Reusable -------- Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a machine-readable formatFAIR Self Assessment Rating
- 4 Stars
Data Sensitivity
- General
