Showing posts with label information management. Show all posts
Showing posts with label information management. Show all posts

Jun 29, 2019

June

June 2019

“An organism tends to act upon the world in a mediated way. It actively converts (sensory) data into information and then constructively processes this information to manage its interactions with the world. (…) In humans, it evolves the unique capacity to gather, store, and retrieve, exchange, integrate, and update, use and indeed misuse semantic information acquired by other people, including past generations.” Luciano Floridi, 2010. Information: a very short introduction. Oxford University Press. Image by Monica Pinheiro, license CC BY-NC-SA (CC)

Nov 5, 2009

Why Personal Information Management (PIM) matters?

“Learning to be intelligent starts by learning to manage information.” Choo, 2003

May 7, 2009

information distillation


Inspired by the image provided by SciTopics (above) provided by Scirius, I wonder if the information is distilled by others, won't the individual be distilling a little further by the act of reading with losses in the process? When doing research we have to distill it ourselves to gain the needed knowledge to advance the research. Distilling is part of the process of creating new knowledge. In the picture above (obviously biased by what I've been doing), in the last rectangular that reads «SciTopics» I read «Literature Review» ;-)

PS [Oct 14, 2009] note to self: see Webtrendmap model on «information curators» (via GSiemens Newsletter) and also Mopsos model back in 2004 on blogs (as information elicitation) for CoPs formation (end of post, link to image model).

Mar 1, 2007

loss of data attached to information

Karasti, H & Baker, K. (2004). Infrastructuring for the Long-Term: Ecological Information Management. Proceedings of the 37th Hawaii International Conference on System Sciences, s/p:
"The need for data stewardship is motivated by an awareness of an ongoing loss in informational content for data that results in the loss of usefulness of data over the long-term. This is captured in an often referenced graph portraying ‘information entropy’ (Figure 1) that refers to the loss of information about the data collected to address a particular scientific question by a particular individual researcher subject both to ‘retirement’ and to ‘death’. The extended temporal dimension of preserving data for decades to centuries poses challenges for the design of metadata and long-term memory, of largescale databases and archives, and of technologies that support distributed collaboration." (text and image p. 2)

Note: fixed broken image [20260330] and added labels.