Learning Outcomes
- Survey of Decentralized Storage Hardware and Software (Personal computers,mobile, dedicated hardware)
- Pros and Cons of each approach to storage
- Case studies / demos of preservation grade decentralized storage systems (The Current / TRANSFER Data Trust, Internet Archive)
Materials Needed
A computer or device with Zoom installed, with camera and microphone.
Prerequisites
None
Session Description:
Stanford University articulated one of the most important tenets of digital preservation, LOCKSS or “Lots of Copies Keep Stuff Safe.” But keeping many copies of a file in the same location has dire consequences. Diversifying where our cultural heritage, personal and otherwise, is kept is just as important as making copies at all. How can we use decentralized tooling to maximize digital preservation? What tools, both in hardware and software, exist to help facilitate keeping our files safe, and how do we network them together for the purpose of community archiving? We’ll learn about the pros and cons of running your own server, maintaining your own preservation hardware, offline storage, online storage, and security. Two case studies, the Current Museum and TRANSFER Data Trust, will ground these tools in real-world examples.
Additional Resources, Citations & References:
-
TRANSFER Data Trust Decentralized Artist-owned Archive and Cooperative Value Exchange Network
-
LOCKSS Lots Of Copies Keep Stuff Safeat Standford Libraries
-
The Day The Music Burned 2008 Universal Music FireBy Jody Rosen on New York Times
-
Myspace, Once the King of Social Networks, Lost Years of Data From Its HeydayBy Niraj Chokshi on New York Times
-
RAID Redundant Array of Inexpensive Diskson Wikipedia
-
JBOD Just a Bunch of Diskson Wikipedia
-
NAS Network-Attached Storageon Wikipedia
-
IPFS & Filecoin What is the connection?on IPFS Docs
-
IPFS InterPlanetary File System
-
Filecoin Decentralized Storage Network
-
Arweave Permanent Decentralized Storage Protocol
-
Solid Decentralized Data Pods
-
HDFS Hadoop Distributed File System
-
The Current Experiment in Distributed & Fluid Institutional Models