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For example, we discuss that instead of citizens having to apply for childbirth benefits, these should be assigned automatically once hospital staff registers the birth. The legal framework of Estonia requires the provision of proactive and efficient access to public information. The Public Information Act states explicitly that all unrestricted public information must be proactively published, and that restricted information about individuals must be available as easily as possible.

In real life, all of the above means that the vast majority of Estonians are very much used to declaring their taxes online within five minutes, establishing companies within half an hour, and having access to relevant information within seconds. The National Archives of Estonia NAE started looking into the development of its digital archiving infrastructure in At this point it was already clear, that any technological solution to be developed has to follow the same underlying conceptual principles as described above.

Most crucially, the transfer of records to archives should not make it worse for citizens to access the information. In other words, a piece of information, which has initially been accessible on the website of an institution, has to be accessible on the website of the archives almost immediately after its transfer. These requirements led NAE to the understanding that the transfer of born-digital content has to be extensively automated, and that the reuse of available metadata for archival description purposes is one of the most crucial aspects to tackle.

In NAE delivered a software tool called Universal Archiving Module UAM which allows agencies to map original metadata created within records management or business systems to archival description standards, validate and amend it if necessary, and deliver very detailed archival descriptions with minimal effort.

By now NAE has more than a decade of experience using UAM in a variety of born-digital transfers from a number of public sector institutions. So what are the practical lessons learned? The most important lesson from using UAM was that automation is heavily dependent on the input data quality. For example, we have encountered a number of cases where titles of records are misspelled or misleading leading to the record not being possible to be reasonably found , or even worse — correct information about restrictions is missing in original metadata.

The options to solve the situation retrospectively are rather limited. Of course, it is theoretically possible to require the archivist to manually check most crucial metadata but taken the amount of information delivered to the archives, it is simply too resource-demanding in practice. There are also technologies in the areas of automated language processing, content analysis and reasoning which might help to detect most errors.

However, pilots undertaken by NAE and next to the Archives Portal Europe revealed that for now these technologies are still too immature for most European languages, including Estonian. Therefore NAE has, for now, concentrated on working on improving data quality proactively by providing consultation, training and practical guidelines for the initial creation of metadata at agencies. While the level of detail which has to be addressed in such consultation has initially been described as overwhelming by archivists, we can already notice some improvement.

The second lesson worth noting is that automation ultimately leads to the loss of flexibility. Automated metadata reuse, on the other hand, follows strict pre-described routes and any exceptions have to be programmed in advance. As such, even the smallest wish to deviate from the automated route can lead to time-consuming and costly software developments. Ultimately, the effect of automation is that processes need to be analysed and thought through very carefully and in much detail.

At NAE we also try, whenever possible, develop software which allows for manual intrusion in crucial steps of processes which are by default automated. Closely related to the previous lesson is the third one - long-term cost of technology. It does not matter how well you have designed and built your automation software, as everyone close to digital preservation knows, sooner or later it becomes obsolete either technologically i.

This means that once you automate a process and create a piece of software to support it, you also take the responsibility to constantly update and maintain it. Even worse, a typical archive has to deal with a large variety of different data types ranging from usual office file formats to architectural drawings, social media and interactive content. All of these might require different pieces of software to manage, meaning that the institution has to tackle the long-term maintenance of tens of different tools, leading to serious long-term IT costs.

The most straightforward way to overcome this issue is collaboration. Estonia started to centralise its digital archiving activities in around and by now there is only one digital transfer, preservation and access infrastructure shared by all archival institutions. At around the same time NAE also started to push for international collaboration which led to the execution of the international E-ARK project in — The sole purpose of E-ARK was to standardise some of the most crucial aspects in archival transfer, preservation and access, and to develop internationally reusable software components for these processes.

Automation is, with no doubt, relevant and inevitable in the current situation where more and more information has to be processed at increasing speeds. However, the experiences of the National Archives of Estonia have shown that there are multiple shortcomings associated with automation. In our opinion the most crucial ones are related to the quality of automated processes and data, the loss of flexibility and the long-term cost of associated technology.

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