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How long is a piece of string? The appropriateness of search time as a measure of 'burden' in Access to Information regimes

机译:一段绳子有多长?搜索时间是否适合作为获取信息制度中“负担”的量度

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摘要

Access to Information regimes are under unremitting challenge from state actors. This article is the first to directly explore the 'cost limit' often included in Access to Information regimes, where requests can be refused by a Public Authority on the basis of an estimate that it would take too long to locate and extract the requested information. The validity of such estimates is particularly important in light of electronic information systems where search times are dependant upon technological expertise. This article presents a qualitative study of decisions made by the United Kingdom's Information Commissioner, where decision notices concerning the 'cost limit' are examined to identify technological errors. These technological errors were found to arise from specific practices of the Commissioner in 40% of cases where an estimate of the Public Authority was accepted. The author demonstrates that the concept of estimating the time taken to find information from an electronic information system is an objectively inappropriate means for estimating the burden placed on a Public Authority. Through the use of mathematics, it is demonstrated an estimation regime based on the volume of information requested is more appropriate as an alternative. From a wider regulatory perspective, this article also demonstrates that it would be highly desirable for Access to Information regimes to be regulated alongside data protection concerns, given the strong overlap in respect of the relevant technological issues.
机译:信息获取制度受到国家行为者的不懈挑战。本文是第一个直接研究通常在“信息获取”制度中包含的“成本限制”的机构,在该限制中,公共机构可以基于查找和提取所请求的信息将花费很长时间的估计来拒绝请求。鉴于搜索时间取决于技术专长的电子信息系统,此类估计的有效性尤其重要。本文对英国信息专员的决策进行了定性研究,其中对有关“成本限制”的决策通知进行了检查,以识别技术错误。发现这些技术错误是由专员的特殊做法引起的,其中40%的情况是接受了公共当局的估计。作者证明,估计从电子信息系统中查找信息所花费时间的概念在客观上是不恰当的方法,它无法估计公共机构的负担。通过使用数学,证明了一种基于请求的信息量的估计方案更适合作为替代方案。从更广泛的监管角度来看,本文还表明,鉴于相关技术问题之间存在大量重叠,因此迫切需要对信息获取制度和数据保护问题进行监管。

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