Zzzoot

I just took advantage of the opening-up of Google Scholar Citations and got my own page up . It is pretty cool to see your citations, etc. all pulled together.

The July/August IEEE Software [paywall warning] is a special issue on software as business, which includes one article that is Open Source oriented, and one that is "code sharing" oriented. Here are the articles: Guest Editors' Introduction: Software as a Business Software Industry Business Models Matching Open Source Software Licenses with Corresponding Business Models Sharing Source Code with Clients: A Hybrid Business and Development Model Developing Cloud Business Models: A Case Study on Cloud Gaming

The Aid Revolution begins with XML / The Aid Revolution Begins Here Publish What You Fund: The Global Campaign for Aid Transparency International Aid Transparency Initiative (IATI) Very oddly, Canada ( correction: Canadian government : see below) is NOT involved in this initiative , but the following countries and organizations are:    World Bank    Asian Development Bank    The European Commission (EC)    United Nations Development Programme (UNDP)    Global Alliance for Vaccines and Immunisation (GAVI)    Hewlett Foundation    Australia - AusAID    Denmark - Ministry of Foreign Affairs    Finland - Ministry for Foreign Affairs    Germany - Federal Ministry for Economic Cooperation and Development (BMZ)   Ireland - Irish Aid   Netherlands – Dutch Ministry of Foreign Affairs – Development Cooperation   New Zealand – NZAID   Norway - Norad   Spain – Spain Ministry of Foreign Affairs and Cooperation   Sweden - SIDA   Switzerland - S

Comparative E-Government Integrated Series in Information Systems Volume 25, 2010, DOI: 10.1007/978-1-4419-6536-3 Chapters involving Canada: Digital Government in North America: A Comparative Analysis of Policy and Program Priorities in Canada, Mexico, and the United States E-government Maturity over 10 Years: A Comparative Analysis of E-government Maturity in Select Countries Around the World  E-government and Federalism in Italy and Canada—A Comparative Assessment Adoption of Web 2.0 by Canadian and US Governments

Some of my work includes consulting with the Canadian Forestry Service (CFS) at Natural Resources Canada (NRCan) in the area of scientific data management, digital repositories / archiving and project management. Some of the work revolves around the interpretation and application of various records keeping and archival policies, such as those from Treasury Board Secretariate's Directive on Record Keeping and Library and Archives Canada. Some of these policies are difficult to interpret or are still in flux, and I have had some difficulties in interpreting the terms, definitions, etc. of these policies. I find that visualizing things (or the act of creating a visualization) can often help in understanding. So I've put together the following Venn diagrams to help (me mostly). I've tried to generalize to any Science-base-policy department in the government of Canada. Caveat : This is my own view of what I have seen and interpreted, and may be incorrect. It is not deri

F rancine Berman's call for a research data census in the U.S. recognizes the reality that the valuable research assets produced by public (and private) research funding is uncounted, mostly unmanaged, and destined to be, or in the process of being, degraded, damaged and lost. Lost to future research, re-use, re-purposing. While a census is useful when your knowledge about a topic is effectively zero , as in this case, I don't think that it is a good ongoing solution to this particular problem. Distributed and open research data repositories, open standards like OAI-PMH , rich metadata (and the tools to create/manage them) and the will of funding agencies and research organizations can all come together to make a real-time census possible. But an initial census is clearly needed, in order properly discover the complete nature of the research data problem, in order to plan the processes, infrastructure and organizations to properly deal it. Berman, F. 2010. We Need a Research D

Research data and metadata - usually derived from an experiment or series of experiments - is in the hot focus of the researcher during the experiment and the subsequent interpretation, paper writing and publishing. But once the researcher has moved on to their next effort, this data is very much at risk. Often (read ' the-rule-rather-than-the-exception '), the data is not properly managed and archived, and resides as a single copy on the researcher's desktop or maybe research server. In addition, the metadata is minimal or non-existent, and if it does exist is only interpretable by the researcher and their colleagues or students. Over time, the chance that this data will be lost or useful knowledge about it forgotten by the researcher increases, and the information content of the data and metadata rapidly decreases. Some events can seriously accelerate this decrease: data loss (media failure, computer replacement, other serious accidents or failures, etc); change of care