关注我们: 2023年6月6日 English version
 
 
 新闻动态
 其他国家、地区和多边机制
 IASB
 XBRL国际组织
 港澳台
 中国内地
 
xbrl > 新闻动态 > 其他国家、地区和多边机制 >
XBRL-CSV可应对海量数据
2017-08-07 来源:中国会计视野作者:张翔 编辑:zlcx 浏览量:

On 2nd May, the XBRL Standards Board approved a Public Working Draft of xBRL-CSV, a new standard for representing XBRL data using CSV.  At first glance, CSV might seem like a legacy technology, but it’s got a lot of things going for it.  Firstly, it’s simple.  In fact, it so simple that it’s supported just about everywhere.  Sendly, it’s very efficient.  For large data sets where size of representation is an important nsideration, it’s hard to beat CSV.  Until now, the downside of CSV has always been the lack of semantics, which inhibits interoperability.

We’re not the only people thinking this way.  The W3C mmissioned the CSV-on-the-Web Working Group to develop standard ways of associating meta-data with CSV files.  This has resulted in the Tabular Metadata specification, and XBRL International’s Open Information Model (OIM) Working Group has now built upon this to produce xBRL-CSV.

To help users understand how this new format works and what it can be used for, the OIM Working Group has now produced an introductory presentation and acmpanying samples.  These resources, as well as the technical specification itself, can be found on the XBRL specifications

We see xBRL-CSV as an important new initiative, which broadens XBRL utility in the field of bulk data llection and publication, and also a mechanism which can make it easier to integrate XBRL into legacy systems.

xBRL-CSV is part of the Open Information Model, which is an incremental approach to simplifying and modernising XBRL. In practical terms, the xBRL-CSV specification allows the llection of very large quantities of data, for example, highly granular information that has to be provided to a regulator, while still being able to use XBRL’s strong validation and data definition capabilities. It can equally be used by regulators to publish information in a format that is easily nsumed.

中文新闻:XBRL-CSV可应对海量数据

 
 
关于XBRL-cn.org | 联系我们 | 欢迎投稿 | 官方微博 | 友情链接 | 网站地图 | 法律声明
XBRL地区组织 版权所有 power by 上海国家会计学院 中国会计视野 沪ICP备05013522号