This blog post is dedicated to provide a general overview over the field of geospatial and environmental data sharing. The term geospatial is actually tautologous: The prefix "geo" implies geography, which always relates things to each other based on their location, where nearer things are stronger related than things further away from each other (Tobler’s 1st law of geography).
Hi All I hope everyone had a great christmas.
Over the break I set myself two goals Learn Ruby on Rails and Get a patch accepted to a open source project and it seems I achieved both of them. This blog post will be dedicated to my first foray into the open source world and a review of my experience so far.
The first week before the break I spent some efforts to integrate my software development project into NIWA’s software development process and environment. So it is ensured that once I have finished the eResearch project, the software can be maintained by NIWA staff afterwards.
Arrived in Auckland on Friday. What more could I ask for? Beautiful weather (well, at least for the first two days), a fantastic city (or so say my first impressions), and an interesting project to work on. For the rest of the summer (another benefit - I get to escape from winter in the northern hemisphere!) I’ll be working on the HathiTrust pilot, sponsored by James Smithies.
New Zealand Social Science Data Service
(NZSSDS) administered and maintained by COMPASS and is built around an architecture based on Australian Data Archive (ADA) and NESSTAR (a proprietary middleware). NZSSDS is a multi-functional entity. It provides:
Open Research is a conference being held in Auckland on 6-7 Feburary 2013. Here is a small blurb from the website:
The purpose of the Open Research Conference is to explore new, open models of research that speed up the effective transfer of research outputs and improve economic, environmental and social impacts in the New Zealand and Australian contexts.
Coming from a background of knowing very little to nothing about the semantic web, RDF and SPARQL, I have perhaps had a steeper learning curve than most. To help people who would be starting at a very basic level too, I thought I would go over this.
Firstly for your first data entry, I suggest using the example that is given in he ingest guide and doing everything exactly as they say: