[cyber_kinetist]

I think the real problem is a bit deeper: Unorganized raw data itself is of very low value, but it becomes much more valuable when humans process, categorize, and interpret it via a higher-level system of reason. We're doing a lot of the former but not the latter: we have so much data but have no idea what they all mean as a whole.

Libraries aren't just "a bunch of books piled up in shelves", they're a historical invention built and perfected for centuries where books are extensively coded and catalogued via a complex hierarchical system. As we are dealing with far more data than the past (not just books but posts and comments from all over the world, as well as new kinds of media such as images and videos), and also have new kinds of conceptual and technological inventions that previous librarians didn't have access to (hyperlinks, databases, graph theory, machine learning, etc.), the current status of data management begs for a major overhaul. (For example, the best we are currently doing for querying and searching from massive data is Google, and it is incredibly primitive! And even then we lament that the quality of it has decreased in favor of SEO-maximizing content.) So much raw data is created every day, and we just seem to fail to understand and interpret almost all of it, I see it as one of the major historical crises we face today. Instead of just storing data, we must find radical new methodologies and tools to search, filter, and explore data, and this poses as both a philosophical problem (of semiotics, linguistics, and hermeneutics) as well as a technological problem.