Track 3 (Technical)
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This track focuses on the actual capture of at-risk data in a variety of formats. As these tasks require the most technical knowledge, skills, and equipment, volunteers are encouraged to take this track when they are able to dedicate more time.
Tech Skill Level: Advanced
Time Commitment: ~2-3 hours
Tools Required (vary across tasks):
Web capture tools (Conifer, Archive-It, Webrecorder, wget. More information on web archiving)
Data quality check system (i.e. checksum)
Spreadsheet editor (i.e., excel, google sheets)
Web monitoring tool
Storage (available internal memory, external hard drive)
Tasks Include:
Setup website monitoring systems
Capture website content
Harvesting public datasets
Review data authenticity and quality
Program or conduct comprehensive data/website crawl
Breakdown of Task Sections 🚁 (helicopter emoji) gives summary of task 🗂️ (index dividers) outlines specific steps needed to complete task 🛠️ (hammer & wrench emoji) details skills & tools needed for task
TASKS BREAKDOWN
1. Set up monitoring API tracker to document changes to government websites
🚁Summary: Given the previous removal of content and subtle revision to federal government environmental websites, many websites need to continually crawled to document track changes.
🗂️Workflow
Read or skim the following report of website monitoring by EDGI
Download the a monitoring tool like:
HTTP API tracker https://github.com/edgi-govdata-archiving/web-monitoring-db
Comprehensive list of other tools here: https://github.com/edgi-govdata-archiving/awesome-website-change-monitoring
Identify website to track using this Data Tracking List
Deploy tracker for selected website
Submit information about tracked website to the Data Tracking form
Skills Needed: Advanced understanding of software deployment, APIs, and technical git repositories.
2. Capture web files/data
🚁Summary: The collecting of web archives (meaning webpages and the content with them) can be complex, but necessary. Using more user friendly software, non-digital preservationist can help capture select content of websites without worrying about collecting the entire structure of a website.
🗂️Workflow
Identify a web file ready to ready to be captured
Update the "Status" cell that you are working on that row so that others will know that you are working on that web file
Using web capture software (like Conifer) pick an at-risk website that includes at-risk data
Change the status on the same "Status" cell to notify that the web file/data has been archived and to avoid others from doing redundant work
🛠️Skills Needed: Intermediate understanding of software deployment and website navigation.
3. Harvest public datasets available online
🚁Summary: Some state and federal agencies are required by law to publish data, publications, and basic information about publicly funded projects (think grants and contracts) Given changes in agency personnel, system updates, as well as financial support to pay for database services and storage, the data stored in these repositories may not always be available for the public. Saving copies can help ensure future access as well as information on past government activities and areas of interests.
🗂️Workflow
Search for publicly funded project repositories (examples include: NIH RePORTER, US Government Awards USASpending, Federal Audit Clearinghouse FAC, NWIS - National Water Information System and many others)
Verify that downloadable datasets contain enough descriptive information (data files, interactive maps, etc.)
Capture dataset(s) to internal storage (temporary place)
Submit and upload the dataset(s) via 1 of these options
FOR UW affiliates ONLY: https://docs.google.com/forms/d/e/1FAIpQLSfk0pfq4NTxlxAy2cmA3RYVLatn-tMwzv5NljayYvXNv8dp6Q/viewform?usp=sharing (URL to Google Drive or UW OneDrive)
FOR Non-UW Affiliates:
Files up to 2 GB https://wetransfer.com/ Send to snguye@uw.edu
OR submit the URL of a downloadable folder via the exit tix https://bit.ly/datarescue-bye
You can delete dataset after successful transfer to Data Rescue coordinators
🛠️Skills Needed: Intermediate understanding of different dataset types and file formats. Comfort with downloading and saving larger files.
4. Create checksum for captured files
🚁Summary: This helps short and long term preservation effort to verify the integrity (fixity) of stored files and datasets. Creating checksums or reviewing them helps detect transfer or creation errors or signs of tampering by external forces.
🗂️Workflow
Download a fixity or checksum verification tool like
Md5summer: An application for Windows machines that will generate and verify md5 checksums.
checksum: A file hashing application for Windows, a program that generates and verifies BLAKE2, SHA1 and MD5 hashes (aka. "MD5 Sums", or "digital fingerprints") of a file, a folder, or recursively.
There are a number of other tools, the above mentioned are examples (see Digital Preservation Coalition Digital Preservation Handbook above).
Ask the "data titan" coordinator to gain access to captured files
Use the dataset tracking list to check details to create checksum
Run a check on the selected data to create the supplemental checksum value
Upload checksum file using (1 )of the following options
FOR UW affiliates ONLY: https://docs.google.com/forms/d/e/1FAIpQLSfk0pfq4NTxlxAy2cmA3RYVLatn-tMwzv5NljayYvXNv8dp6Q/viewform?usp=sharing (URL to Google Drive or UW OneDrive)
FOR Non-UW Affiliates:
Submit and upload the dataset(s) via 1 of these options
Files up to 2 GB https://wetransfer.com/ Send to snguye@uw.edu
OR submit the URL of a downloadable folder via the exit tix https://bit.ly/datarescue-bye
🛠️Skills Needed: Best for those who have strong tech skills, attention to detail, and willingness to read the docs.
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