Project Glossary

User StoryA high-level description of what a user wants to be able to achieve by using the Workbench Environment (WBE).
Use CaseA detailed breakdown of a user’s interactions.
Case StudyAn analysis of the tool being used or analysed to demonstrate the benefit.
ToolsSoftware applications that can be used to manipulate data.
Digital applicationsA software system that provides access to tools and datasets.
ToolsetsA collection of tools & digital application.
Work Bench Environment (WBE)An online location where a collection of information, advice and community engagement activities around data and tools takes place.
Curated DatasetsAn authoritative dataset appropriately formatted, described, and applicable for research purposes.
RecipesA series of steps that support a researcher’s use of a tool – or set of steps- to achieve a predetermined goal.
Managed ServicesAn online tool or application that is available to a community of users and is supported by a host institution or product owner.
PathwaysA progressive set of technical development that embodies knowledge and skills of researchers to use digital tools and methods.
GIGeographic information.
Geo-LocationA location on the Earth’s surface, commonly referenced using either geospatial data (e.g. coordinates) or textual place names (toponyms). Geo-Locations may be represented using crisp or fuzzy features. Crisp features are typically of type point, line and polygon. If the location has uncertainty, a confidence level or fuzzy boundary may be applied.
GeoparsingThe process of extracting toponyms from a corpus of text. Common methods included Named Entity Recognition (NER) and Classification (NERC) (Leidner, 2017). Advanced methods may also consider the text’s lexical categorisations (e.g. prepositions) and contextual information.
GeoreferencingThe linking between an entity and a spatial footprint (Leinder, 2017). Entities may be any artefact (e.g. image or text) with a spatial grounding, that is, “denotation with respect to the world or a model” (Leidner et al., 2003).
GeocodingA specific form of georeferencing, linking an entity to a spatial footprint. There are two main types of geocoding: address and toponym resolution (Leinder, 2017). Address geo-coding links well-structured text that contains a location component with authoritative reference data; typically an address file (Goldberg, 2017). If the text is unstructured and without a location component, place names (toponyms) must be extracted from the text using a technique, e.g. named entity recognition (NER). Due to potential ambiguities in the linking between toponyms and the reference data, a process of toponym resolution (TR) is required to identify an appropriate spatial footprint (Leidner, 2017).
StructuredItems that are laid out in a regular pattern (e.g., trail registers that consist of easily identifiable categories of text categorised under clear headers).
UnstructuredItems that are generally large blocks of text (e.g., field notes that have long sections of prose that aren’t clearly identified by headers).
ISOInternational Organization for Standardization