Abstract
As the ability to meaningfully process increasingly large quantities of data has improved, the need for systems to support the aggregation and subsequent use of disparate smaller datasets is correspondingly greater. The GBIF is just one such project among a larger group seeking to aggregate the smaller, focused, and disparate sources of information generated for the work of science. GBIF is simultaneously an effort to coordinate and aggregate digital species occurrence data and digitize natural history collections into a single global-scale resource for biodiversity work. The basis for this paper is a critical study of the GBIF database and data portal as a socio-technical system
Keywords No keywords specified (fix it)
Categories (categorize this paper)
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 65,740
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Bodies of Data: Genomic Data and Bioscience Data Sharing.Pilar N. Ossorio - 2011 - Social Research: An International Quarterly 78 (3):907-932.
Data Interpretation in the Digital Age.Sabina Leonelli - 2014 - Perspectives on Science 22 (3):397-417.
Integrating Data to Acquire New Knowledge: Three Modes of Integration in Plant Science.Sabina Leonelli - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):503-514.
What Should Be the Data Sharing Policy of Cognitive Science?Mark A. Pitt & Yun Tang - 2013 - Topics in Cognitive Science 5 (1):214-221.
Data Models and the Acquisition and Manipulation of Data.Todd Harris - 2003 - Philosophy of Science 70 (5):1508-1517.
The Governmental Topologies of Database Devices.Evelyn Ruppert - 2012 - Theory, Culture and Society 29 (4-5):116-136.

Analytics

Added to PP index
2016-03-22

Total views
24 ( #461,550 of 2,462,828 )

Recent downloads (6 months)
1 ( #449,387 of 2,462,828 )

How can I increase my downloads?

Downloads

My notes