Or, for each followup message, add thin colored bars corresponding to quoted sections, and you can click on the colored bar to pop up the comment, or display it inlined with the current message. BUT, these linkages would also work in the current message. If I just have the text "Anna says we can install Minefield" in a folder called Beta, if I right-click on Anna or Minefield, the context menu can have a Related Pensoft's Perspective PIM for PenPoint could do this, it was addictive and it felt that the software learned about your life.
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Better control over attachment handling It's still a hassle. So my e-mail program should proactively go out and find the same file on the Web and, much like mailing list archives above, I should be able to associate the attachment with the URL, or replace it with the URL. The point is, my e-mail archives should be an added-value local repository that needs tight associations with the same information that's on the Web, and should propagate these associations to the file system.
Labels: e-mail , software , web. For a month I tried just leaving the Mac mail files on-disk. They're text and I can view them fine. But Google Desktop search wouldn't find words in them. So I decided to move the mail into Thunderbird's folders. I discovered the hard way that this only works for top-level files, not subdirectories. I had a lot of duplicate e-mails, so I found a free mergebox. Installation of this on Cygwin and recent Perl was a bear. It uses the old Mail::Folder module, and when I reported bugs and fixes in this I found its maintainer "kjj" has vanished.
Status: Currently in version 1. SIA currently maintains and supports it, but is looking forward to the time when it is not the only code contributor. From Simpson, Joel. Email Archiving Systems Interoperability. Harvard Library Report. Strengths, weaknesses, and gaps: Users may process emails at varying levels individual messages, a group thereof, or entire accounts and may be used to process up to , in a batch. In addition, additional metadata such as rights must be created and recorded in a separate system. Supported browsers are Firefox, Google Chrome and Safari. Status: The system is actively maintained and supported.
Support is currently provided to the Harvard community only. The latest version 1.
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An additional feature is that EAS automatically records technical metadata, and system events such as format conversion, deletions and the handling of attachments. All metadata is stored at the item level an email message or attachment. Position in stewardship lifecycle: Archival Processing and Preservation: EAS is a processing tool for ingest, archival appraisal and processing, and packaging for deposit to a preservation repository.
Strengths, weaknesses and gaps: The strength of EAS is in its flexibility to accommodate multiple levels of processing from minimal — with minimal metadata, entire collections can be deposited directly to the preservation repository for long term storage — to extensive, where metadata can be applied to individual email messages and attachments. The robust search interface allows archivists to refine search criteria and to see how many instances of a particular metadata value exist within a selected set. EAS has no provision for pre-acquisition appraisal for archivists.
Because of embargo periods and concerns about sensitive data, at this time there is no public discovery or delivery to end users. To enable pre-acquisition appraisal, discovery and delivery functions, EAS needs to be used in a workflow with other tools e. To enable Harvard and the broader community to use EAS with other tools, a project to deploy EAS as open source software began in the summer of The tool is currently configured to import email content messages and attachments from specific clients, with new ones added as needed.
Attachments are decoded and stored as separate files within EAS, with metadata relationships to associated email. For email originating from certain email clients that store email separately from attachments, EAS will try to match up the email with its associated attachments via metadata relationships.
Mac OS X Arrangement and Description: address harvesting feature could help identify significant correspondents within an email archive, thereby assisting in intellectual arrangement and description. Can be used to migrate email produced in a wide variety of current and legacy platforms. Optimized for Windows 7 and OSX Position in Stewardship Lifecycle: ePADD is comprised of four modules — Appraisal, Processing, Discovery, and Delivery — which are designed to facilitate the process of working with email archives at the following stages of the Lifecycle: Appraisal and Selection: Appraisal module allows creators, dealers, and curators to easily gather and review email archives prior to transferring those files to an archival repository.
Archival Processing: Processing module provides archivists with the means to arrange and describe email archives. Discovery and Access for Research: Discovery module provides the tools for repositories to remotely share a redacted view of email archives with users through a web server discovery environment.
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Delivery module enables archival repositories to provide moderated full-text access to unrestricted email archives within a reading room environment. This tool supports appraisal by donor or curator, processing, discovery online publication of metadata , and delivery of full-text unrestricted messages and attachments in reading room environment. Text and metadata extraction, indexing and retrieval is performed by Apache Lucene v4.
Charting and visualization is supported using the D3? JSON formatting is performed with the libraries org. However, the Apache OpenNLP proved insufficient for our needs at least for name recognition , and after various rounds of customization, we built our own named entity recognizer. What are the tools strengths, weaknesses, and gaps?
Ingest and Export formats Import screen opens in the Appraisal Module default. This interface is where you enter information name and an associated email address about the owner of the email account, as well as specify the location and account info, if applicable, of the MBOX files or IMAP email accounts that ePADD will be ingesting for review and potential transfer to an archival repository.
You can select multiple accounts, as well as multiple MBOX files. Purpose: FTK was developed for digital forensics and criminal investigations, but has increasingly been employed by libraries, archives, and museums over the past decade as an integral part of digital preservation workflows.
The tool is particularly useful in recovering deleted or encrypted data and facilitating search and analysis on large bodies of content. Strengths, weaknesses, and gaps: FTK can assist with the identification of email file formats within a heterogeneous digital archive; graphical file analytics help visualize field counts and distributions and also enable filtering of content by various metadata attributes. FTK also includes powerful functionality to assist with the review and appraisal of email, including the ability to parse messages to identify recipients, email servers, attachments, etc.
Scanning for keywords and sensitive data such as Social Security numbers furthermore permits users to better understand the scope and nature of an email collection and to also identify and mitigate potential risks. Content can also be tagged to indicate areas for further review or to help establish the intellectual arrangement for content.
Robust reporting also allows users to export information from FTK for reuse in other systems. On the downside, FTK is a Windows-only application and only supports the export of mail messages to the proprietary albeit fully documented MSG format. Libraries ported to Java in java-libpst project.
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System Requirements: Python, Image Magick, and various additional packages. Status: Actively developed and maintained; v Purpose: Software library that will facilitate the conversion and extraction of information from Microsoft Outlook PST files. At the same time, the tools are focused on PST files and so institutions will need additional tools to handle other email file types.
Strengths, weaknesses, and gaps: MailStore might be most effective in an institutional archives setting, where it has been deployed to assist with records management requirements around email. In such a case, the application could be highly effective in helping to identify email content of archival value and then transfer it to archival custody in an appropriate format.
Outside of this context, archivists might be able to establish a workflow where MailStore is used to assist with the review and capture of content, but given that MailStore is intended to integrate with an existing email system and ingest large amounts of email content, it may not be the most appropriate tool in an archival setting.
The microservice design of Preservica pushes content through a standardized workflow that includes steps such as virus scans, checksum calculation, file characterization, and technical metadata extraction in addition to file format normalization. Preservation: Preservica also assists with packaging content and storing in a repository.
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Discovery and Access for Research: Preservica assists with online discovery and access via its Universal Access module. Strengths, weaknesses, and gaps: While not an email-specific tool, Preservica has notable features that would contribute to the long-term preservation and dissemination of any such content.
The automated workflow that encompasses key preservation actions including format normalization is a key feature, and the ability to extract metadata including specific information about the relationship of email messages to larger threads or folders or add additional description are important for archival processes. The integrated nature of the platform is also significant, in particular the fact that it can support the both the preservation of and access to email content.
It can also be used to export an email profile and includes functionality to perform scheduled backups of an email account. Of concern is the fact that the Add-On appears to be developed by a single person. System Requirements: Any 64bit OS that can run docker. Strengths: 1 The TOMES tool is designed to assist processing very large email accounts typically found in government records contexts.
It is actively being maintained and supported.