forecollection
Forecollection refers to the proactive gathering and organization of information, data, materials, or resources before they are urgently required. The approach is intended to support planning, research, risk assessment, or rapid response by reducing bottlenecks in accessing relevant sources later on.
It is a neologism formed from the prefix fore- and collection, and it lacks a formal, widely
Applications include early literature scanning for a research project, assembling potential datasets for a machine learning
Typical practices involve identifying likely information needs, sourcing candidate materials in advance, tagging and indexing them,
Forecollection is related to anticipatory knowledge management and proactive data collection; it differs from retrospective collection
History and status: The term has limited use since the 2010s and remains informal, without a universal