This database organises measures collated by The Future of Work Institute. Use the different views, filters and search function.
This database approach helps researchers and research teams effectively and efficiently find and use measures for survey based research.
All information is organised within one Google Sheet that exists serverless online as a living repository: No more saving, parallel versions, backups, sending by email, or similar dilemma ought to be considered. Just enter or edit something in the spreadsheet, done.
Based on a coherent data schema (see below), information is structured differently for different viewing experiences that can be easily embedded into any web page. Each view allows you to interact with the information through sorting, filters, and a full text search function. Try it.
The two provided views CARDS and TABLE are based on the same underlying information which they differentially display. Almost any view or structure can be realised. Think about how you typically interact with such information, and what could be plain awesome. Tell us.
Using a spreadsheet as central repository has numerous benefits: information can be enriched through functions or by fetching additional information online, pointing to other information online, bridging to other services, providing differential access and editing rights, among other.
FOWI should maintain a single repository, which it can then use for different scenarios, defining meaningful views – for instance:
- this central FOWI measure database that is only accessible to internal scholars (could be password protected)
- a view defined for each study/project, which can then be shared with collaboration partners (like here for WALS)
- views with limited information that can be used with industry/sit public on the web (your imagination please)
As a result, we can – for instance:
- quickly operationalise studies and populate surveys using this Measures Query Wizard (click)
- understand who used what measures in what studies
- maintain unique item codes for all measures for efficient integration via built-in naming validation and warnings
Below is an illustration of the database schema: the information that has to be entered for each item.