Access denied The PSI Scoreboard is a ‘crowdsourced’ tool to measure the status of Open Data and PSI re-use throughout the EU. It does NOT monitor government policies, but aims to assess the overall PSI re-use situation, which includes the open data community's activities. Learn more about the methodology and how to update it. The PSI Scoreboard is a crowdsourced initiative in 'beta’ version, which will be evolved based on your feedback. The data is compiled using a combination of internet search and local experts helping us in filling out the scoreboard. Naturally, using a network of experts, there are margins of appreciation in assessing the indicators. Measurements and scoring The scoreboard measures 7 aspects of PSI re-use (see full indicator description): A country can score up to a 100 points on each of these 7 aspects, for a total of up to 700 points. You can check the full list of indicators, and the data that feed the visualizations. Play with the data! We need your help!
OpenRefine Kimono : Turn websites into structured APIs from your browser in seconds US government to release open data using OKF?s CKAN platform You may have seen hints of it before, but the US government data portal, data.gov, has just announced officially that its next iteration – “data.gov 2.0″ – will incorporate CKAN, the open-source data management system whose development is led and co-ordinated by the Open Knowledge Foundation. The OKF itself is one of the organisations helping to implement the upgrade. Like all governments, the US collects vast amounts of data in the course of its work. Because of its commitment to Open Data tens of thousands of datasets are openly published through data.gov. CKAN is fast becoming an industry standard, and the US will become the latest to benefit from its powerful user interface for searching and browsing, rich metadata support, harvesting systems to help ingest data from existing government IT systems, and machine interface, helping developers to find and re-use the data.
LaTeX appliqué aux sciences humaines La réputation de LaTeX n’est plus à faire pour ses nombreuses applications dans les domaines scientifiques. Néanmoins, on pense habituellement que l’écriture avec LaTeX est réservée aux mathématiques où aux disciplines très formelles. Pourtant, les sciences humaines ont elles aussi de tels besoins, avec d’autres exigences notamment sur le plan de la mise en forme des textes, de la gestion de la bibliographie, etc. Aujourd’hui, un livre est exclusivement consacré à l’utilisation de LaTeX dans les sciences humaines .Il est édité chez Atramenta sous licence CC-By-Sa. PrésentationPendant longtemps LaTeX n’a été utilisé que dans le domaine des sciences dites «exactes ».
7 tools for scraping - Use for datajournalism & insightful content I’ve been creating a lot of (data driven) creative content lately and one of the things I like to do is gathering as much data as I can from public sources. I even have some cases it is costing to much time to create and run database queries and my personal build PHP scraper is faster so I just wanted to share some tools that could be helpful. Just a short disclaimer: use these tools on your own risk! 1. Scraper is a simple data mining extension for Google Chrome™ that is useful for online research when you need to quickly analyze data in spreadsheet form. You can select a specific data point, a price, a rating etc and then use your browser menu: click Scrape Similar and you will get multiple options to export or copy your data to Excel or Google Docs. 2. – Click here to download the example script. 3. 4. 5. 6. 7. But on the end, building your individual project scrapers will always be more effective than using predefined scrapers. Summary Article Name Author Jan-Willem Bobbink Description
4 Ideas for Defending the Open Data Commons The following post was written by Simon Chignard, author of L’Open data: Comprendre l’ouverture des données publiques. The post was originally posted on Simon’s blog following the launch of the Open Knowlege Foundation French national group, and has been translated by Samuel Goëta from OKFN France. There is a direct link between the open data movement and the philosophy of common goods. Open data are an illustration of the notion of common informational goods proposed by Elinor Ostrom, winner of the 2009 Nobel Prize for economics. Open data belong to everyone and, unlike water and air (and other common goods), they are non-exclusive: their use by one does not prevent others. But despite the strong conceptual and historical linkages, it seems that we, as actors of open data, are often shy to reaffirm the relationship. Idea #1: defend a real choice in terms of open data licences (“pro-choice” approach) Ideal #2: the General Interest Data, G.I.D.
About Morphbank :: Biological Imaging - Morphbank :: Biological Imaging Morphbank :: Biological Imaging is a continuously growing database of images that scientists use for international collaboration, research and education. Images deposited in Morphbank :: Biological Imaging document a wide variety of research including: specimen-based research in comparative anatomy, morphological phylogenetics, taxonomy and related fields focused on increasing our knowledge about biodiversity. The project receives its main funding from the Biological Databases and Informatics program of the National Science Foundation (Grant DBI-0446224). Morphbank :: Biological Imaging was established in 1998 by a Swedish-Spanish-American group of entomologists and is currently housed at the School of Computational Science (SCS) at Florida State University. The project has grown immensely since its beginnings and presently includes a team of 15 biologists, computer scientists and information scientists who are working on developing the software.