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Items tagged with "xBRL-CSV"

Crushing It: Central Bank of the Russian Federation Embraces Granular Data

This is a guest post by Stanislav Korop, Deputy Director Data Governance Department, Bank of Russia. It is based on his 15 April 2021 session at Data Amplified Virtual, catching us up on the Bank’s new xBRL-CSV framework, which has just been launched for Russian filers. Like many regulators we find ourselves wanting to collect […]

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New XBRL Formula functions reach Recommendation status

The XBRL Standards Board has approved the publication of an update to the XBRL Formula Functions Registry. This update includes the addition of new draft functions to support the planned adoption of xBRL-CSV by a number of regulators around the world.

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New XBRL Formula functions advance to Candidate Recommendation status

The XBRL Standards Board has approved the promotion a number of new XBRL Formula functions to Candidate Recommendation status. The new functions are intended to support the planned adoption of xBRL-CSV by a number of regulators around the world.

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Pointing the way: Filing Indicator Taxonomy now available

The XBRL Standards Board has approved publication of the Filing Indicator Taxonomy at Recommendation status. Filing indicators are used in filing environments to act like a signpost, allowing reports to declare which reporting tables have been completed.

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New xBRL-CSV tutorial released

XBRL International has published a new tutorial showing how the new xBRL-CSV specification can be used to handle a variety of common reporting scenarios. The tutorial walks readers through the features of the specification, explaining how CSV tables can be used to efficiently represent reporting data, and is accompanied by a set of example xBRL-CSV reports.

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Candidate Recommendation release of OIM specifications

The XBRL Standards Board has approved a further Candidate Recommendation of the Open Information Model (OIM) suite of specifications. This latest release is expected to be the last prior to progressing to Proposed Recommendation status.

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Machine Learning on the Rise

Touted as one of the big innovations set to shakeup the coming decades, artificial intelligence (AI) and machine learning (ML) are playing an increasingly central role in financial reporting and analysis. With the age of big data meaning the volume of data sets is growing ever larger, it helps to have a computer aid with the analysis.

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Long-Awaited OIM Reaches Final Milestones

The Open Information Model (OIM) is XBRL International’s strategic effort to simplify and modernise important aspects of the XBRL Standard. It will allow XBRL data to be used in new and simpler ways by detaching the standard from a single syntax. This means the same powerful features of XBRL can be used with various different […]

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Modernised, Simplified XBRL Specifications on Final Approach

The XBRL Standards Board has approved the publication of a new Candidate Recommendation of the xBRL-CSV, xBRL-JSON and Open Information Model specifications.

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New XBRL International Filing Indicators specification paves the way for xBRL-CSV adoption

The XBRL Standards Board (XSB) has approved a Candidate Recommendation release of the Filing Indicators specification.  Filing Indicators are a mechanism used by some XBRL filing systems to enable filers to explicitly record which sections (or templates) within a report they have completed. 

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