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Tom Johnson

The Overview Project » Document mining shows Paul Ryan relying on the the pro... - 0 views

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    Document mining shows Paul Ryan relying on the the programs he criticizes by Jonathan Stray on 11/02/2012 0 One of the jobs of a journalist is to check the record. When Congressman Paul Ryan became a vice-presidential candidate, Associated Press reporter Jack Gillum decided to examine the candidate through his own words. Hundreds of Freedom of Information requests and 9,000 pages later, Gillum wrote a story showing that Ryan has asked for money from many of the same Federal programs he has criticized as wasteful, including stimulus money and funding for alternative fuels. This would have been much more difficult without special software for journalism. In this case Gillum relied on two tools: DocumentCloud to upload, OCR, and search the documents, and Overview to automatically sort the documents into topics and visualize the contents. Both projects are previous Knight News Challenge winners. But first Gillum had to get the documents. As a member of Congress, Ryan isn't subject to the Freedom of Information Act. Instead, Gillum went to every federal agency - whose files are covered under FOIA - for copies of letters or emails that might identify Ryan's favored causes, names of any constituents who sought favors, and more. Bit by bit, the documents arrived - on paper. The stack grew over weeks, eventually piling up two feet high on Gillum's desk. Then he scanned the pages and loaded them into the AP's internal installation of DocumentCloud. The software converts the scanned pages to searchable text, but there were still 9000 pages of material. That's where Overview came in. Developed in house at the Associated Press, this open-source visualization tool processes the full text of each document and clusters similar documents together, producing a visualization that graphically shows the contents of the complete document set. "I used Overview to take these 9000 pages of documents, and knowing there was probably going to be a lot of garbage or ext
Tom Johnson

The Overview Project » Using Overview to analyze 4500 pages of documents on s... - 0 views

  • Using Overview to analyze 4500 pages of documents on security contractors in Iraq by Jonathan Stray on 02/21/2012 0 This post describes how we used a prototype of the Overview software to explore 4,500 pages of incident reports concerning the actions of private security contractors working for the U.S. State Department during the Iraq war. This was the core of the reporting work for our previous post, where we reported the results of that analysis. The promise of a document set like this is that it will give us some idea of the broader picture, beyond the handful of really egregious incidents that have made headlines. To do this, in some way we have to take into account most or all of the documents, not just the small number that might match a particular keyword search.  But at one page per minute, eight hours per day, it would take about 10 days for one person to read all of these documents — to say nothing of taking notes or doing any sort of followup. This is exactly the sort of problem that Overview would like to solve. The reporting was a multi-stage process: Splitting the massive PDFs into individual documents and extracting the text Exploration and subject tagging with the Overview prototype Random sampling to estimate the frequency of certain types of events Followup and comparison with other sources
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    Using Overview to analyze 4500 pages of documents on security contractors in Iraq by Jonathan Stray on 02/21/2012 0 This post describes how we used a prototype of the Overview software to explore 4,500 pages of incident reports concerning the actions of private security contractors working for the U.S. State Department during the Iraq war. This was the core of the reporting work for our previous post, where we reported the results of that analysis. The promise of a document set like this is that it will give us some idea of the broader picture, beyond the handful of really egregious incidents that have made headlines. To do this, in some way we have to take into account most or all of the documents, not just the small number that might match a particular keyword search. But at one page per minute, eight hours per day, it would take about 10 days for one person to read all of these documents - to say nothing of taking notes or doing any sort of followup. This is exactly the sort of problem that Overview would like to solve. The reporting was a multi-stage process: Splitting the massive PDFs into individual documents and extracting the text Exploration and subject tagging with the Overview prototype Random sampling to estimate the frequency of certain types of events Followup and comparison with other sources
Tom Johnson

Timeline JS - Beautifully crafted timelines that are easy, and intuitive to use. - 0 views

  • Document History TimelineJS can pull in media from different sources. It has built in support for: Twitter, Flickr, Google Maps, YouTube, Vimeo, Dailymotion, Wikipedia, SoundCloud and more media types in the future. Creating one is as easy as filling in a Google spreadsheet or as detailed as JSON. Tips and tricks to best utilize TimelineJS. Keep it short, and write each event as a part of a larger narrative. Pick stories that have a strong chronological narrative. It does not work well for stories that need to jump around in the timeline. Include events that build up to major occurrences. Not just the major events. Sign up for Updates Get updates, tips and news by email. No Spam. Subscribe var fnames = new Array();var ftypes = new Array();fnames[0]='EMAIL';ftypes[0]='email';fnames[1]='NAME';ftypes[1]='text'; try { var jqueryLoaded=jQuery; jqueryLoaded=true; } catch(err) { var jqueryLoaded=false; } var head= document.getElementsByTagName('head')[0]; if (!jqueryLoaded) { var script = document.createElement('script'); script.type = 'text/javascript'; script.src = 'http://ajax.googleapis.com/ajax/libs/jquery/1.4.4/jquery.min.js'; head.appendChild(script); if (script.readyState && script.onload!==null){ script.onreadystatechange= function () { if (this.readyState == 'complete') mce_preload_check(); } } } var script = document.createElement('script'); script.type = 'text/javascript'; script.src = 'http://downloads.mailchimp.com/js/jquery.form-n-validate.js'; head.appendChild(script); var err_style = ''; try{ err_style = mc_custom_error_style; } catch(e){ err_style = '#mc_embed_signup input.mce_inline_error{border-color:#6B0505;} #mc_embed_signup div.mce_inline_error{margin: 0 0 1em 0; padding: 5px 10px; background-color:#6B0505; font-weight: bold; z-index: 1; color:#fff;}'; } var head= document.getElementsByTagName('head')[0]; var style= document.createElement('style'); style.type= 'text/css'; if (style.styleSheet) { style.styleSheet.cssText = err_style; } else { style.appendChild(document.createTextNode(err_style)); } head.appendChild(style); setTimeout('mce_preload_check();', 250); var mce_preload_checks = 0; function mce_preload_check(){ if (mce_preload_checks>40) return; mce_preload_checks++; try { var jqueryLoaded=jQuery; } catch(err) { setTimeout('mce_preload_check();', 250); return; } try { var validatorLoaded=jQuery("#fake-form").validate({}); } catch(err) { setTimeout('mce_preload_check();', 250); return; } mce_init_form(); } function mce_init_form(){ jQuery(document).ready( function($) { var options = { errorClass: 'mce_inline_error', errorElement: 'div', onkeyup: function(){}, onfocusout:function(){}, onblur:function(){} }; var mce_validator = $("#mc-embedded-subscribe-form").validate(options); $("#mc-embedded-subscribe-form").unbind('submit');//remove the validator so we can get into beforeSubmit on the ajaxform, which then calls the validator options = { url: 'http://verite.us4.list-manage2.com/subscribe/post-json?u=7cc197123f5f6d3b8dc4e176f&id=d7f2b5d664&c=?', type: 'GET', dataType: 'json', contentType: "application/json; charset=utf-8", beforeSubmit: function(){ $('#mce_tmp_error_msg').remove(); $('.datefield','#mc_embed_signup').each( function(){ var txt = 'filled'; var fields = new Array(); var i = 0; $(':text', this).each( function(){ fields[i] = this; i++; }); $(':hidden', this).each( function(){ var bday = false; if (fields.length == 2){ bday = true; fields[2] = {'value':1970};//trick birthdays into having years } if ( fields[0].value=='MM' && fields[1].value=='DD' && (fields[2].value=='YYYY' || (bday && fields[2].value==1970) ) ){ this.value = ''; } else if ( fields[0].value=='' && fields[1].value=='' && (fields[2].value=='' || (bday && fields[2].value==1970) ) ){ this.value = ''; } else { if (/\[day\]/.test(fields[0].name)){ this.value = fields[1].value+'/'+fields[0].value+'/'+fields[2].value; } else { this.value = fields[0].value+'/'+fields[1].value+'/'+fields[2].value; } } }); }); return mce_validator.form(); }, success: mce_success_cb }; $('#mc-embedded-subscribe-form').ajaxForm(options); }); } function mce_success_cb(resp){ $('#mce-success-response').hide(); $('#mce-error-response').hide(); if (resp.result=="success"){ $('#mce-'+resp.result+'-response').show(); $('#mce-'+resp.result+'-response').html(resp.msg); $('#mc-embedded-subscribe-form').each(function(){ this.reset(); }); } else { var index = -1; var msg; try { var parts = resp.msg.split(' - ',2); if (parts[1]==undefined){ msg = resp.msg; } else { i = parseInt(parts[0]); if (i.toString() == parts[0]){ index = parts[0]; msg = parts[1]; } else { index = -1; msg = resp.msg; } } } catch(e){ index = -1; msg = resp.msg; } try{ if (index== -1){ $('#mce-'+resp.result+'-response').show(); $('#mce-'+resp.result+'-response').html(msg); } else { err_id = 'mce_tmp_error_msg'; html = ' '+msg+''; var input_id = '#mc_embed_signup'; var f = $(input_id); if (ftypes[index]=='address'){
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    Document History TimelineJS can pull in media from different sources. It has built in support for: Twitter, Flickr, Google Maps, YouTube, Vimeo, Dailymotion, Wikipedia, SoundCloud and more media types in the future. Creating one is as easy as filling in a Google spreadsheet or as detailed as JSON. Tips and tricks to best utilize TimelineJS. Keep it short, and write each event as a part of a larger narrative. Pick stories that have a strong chronological narrative. It does not work well for stories that need to jump around in the timeline. Include events that build up to major occurrences. Not just the major events. Sign up for Updates Get updates, tips and news by email. No Spam. Download Coming Soon Changelog Issues The project is hosted on GitHub, the largest code host in the world. We encourage you to contribute to the project and we value your feedback. You can report bugs and discuss features on the issues page, or ask a question on our Google Group TimelineJS Download View on GitHub Google Group Wordpress Plugin Download View on GitHub This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. http://www.gnu.org/licenses/ Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under CC BY SA. TimelineJS was created and built by VéritéCo, as a project of the Knight News Innovation Lab Stay connected with us on twitter Examples
Tom Johnson

Redliner - Solve the Frustrations of Document Collaboration and Approval - 0 views

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    Redliner, a recent addition to the SaaS field, takes the concept one step further. A "next generation" online collaboration tool, Redliner goes beyond establishing a shared work space "in the cloud"-where individuals can access, edit and comment on documents-and adds innovative workflow features that actually get important documents completed faster. Surpassing the capabilities of current online word processors, such as Google™ Docs, Zoho® Writer and Adobe® Buzzword®, Redliner abolishes the grunt work inherent in the document collaboration process. When several individuals are working on a single document and accessing various versions, how many times do they find themselves asking, "What has changed?", "Is this the latest version?" or "What do I need to respond to?"
Tom Johnson

The Overview Project - 0 views

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    How Overview turns Documents into Pictures by Jonathan Stray on 06/04/2012 | 0 Overview produces intricate visualizations of large document sets - beautiful, but what do they mean? These visualizations are saying something about the documents, which you can interpret if you know a little about how they're plotted. There are two visualizations in the current prototype version of Overview, and both are based on document clustering.
Tom Johnson

ELAN description | The Language Archive - 0 views

  • ELAN description ELAN is a professional tool for the creation of complex annotations on video and audio resources. With ELAN a user can add an unlimited number of annotations to audio and/or video streams. An annotation can be a sentence, word or gloss, a comment, translation or a description of any feature observed in the media. Annotations can be created on multiple layers, called tiers. Tiers can be hierarchically interconnected. An annotation can either be time-aligned to the media or it can refer to other existing annotations. The textual content of annotations is always in Unicode and the transcription is stored in an XML format. ELAN provides several different views on the annotations, each view is connected and synchronized to the media playhead. Up to 4 video files can be associated with an annotation document. Each video can be integrated in the main document window or displayed in its own resizable window. ELAN delegates media playback to an existing media framework, like Windows Media Player, QuickTime or JMF (Java Media Framework). As a result a wide variety of audio and video formats is supported and high performance media playback can be achieved. ELAN is written in the Java programming language and the sources are available for non-commercial use. It runs on Windows, Mac OS X and Linux.
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    ELAN description ELAN is a professional tool for the creation of complex annotations on video and audio resources. With ELAN a user can add an unlimited number of annotations to audio and/or video streams. An annotation can be a sentence, word or gloss, a comment, translation or a description of any feature observed in the media. Annotations can be created on multiple layers, called tiers. Tiers can be hierarchically interconnected. An annotation can either be time-aligned to the media or it can refer to other existing annotations. The textual content of annotations is always in Unicode and the transcription is stored in an XML format. ELAN provides several different views on the annotations, each view is connected and synchronized to the media playhead. Up to 4 video files can be associated with an annotation document. Each video can be integrated in the main document window or displayed in its own resizable window. ELAN delegates media playback to an existing media framework, like Windows Media Player, QuickTime or JMF (Java Media Framework). As a result a wide variety of audio and video formats is supported and high performance media playback can be achieved. ELAN is written in the Java programming language and the sources are available for non-commercial use. It runs on Windows, Mac OS X and Linux.
Tom Johnson

Narrative + investigative: tips from IRE 2012, Part 1 - Nieman Storyboard - A project o... - 0 views

  • Narrative + investigative: tips from IRE 2012, Part 1 At last month’s Investigative Reporters & Editors conference, in Boston, hundreds of reporters attended dozens of sessions on everything from analyzing unstructured data to working with the coolest web tools and building a digital newsroom. The conference, which started in the 1970s, after a Phoenix reporter died in a car bomb while covering the mob, is usually considered an investigative-only playground, but narrative writers can learn a lot from these journalists’ techniques and resources. When might a narrative writer need investigative skills? A few possible scenarios: • When developing a character’s timeline and activities beyond the basic backgrounding • When navigating precarious relationships with sources • When organizing large and potentially complicated amounts of material • When gathering data and documents that might provide storytelling context – geopolitical, financial, etc. We asked This Land correspondent Kiera Feldman to cover the conference with an eye for material that might be particularly useful in narrative. She netted a range of ideas, tips and resources. Today, in Part 1, she covers areas including documents and data, online research and source relationships. Check back tomorrow for Part 2, “Writing the Investigative Story,” with best practices from Ken Armstrong of the Seattle Times and Steve Fainaru of ESPN.
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    Narrative + investigative: tips from IRE 2012, Part 1 At last month's Investigative Reporters & Editors conference, in Boston, hundreds of reporters attended dozens of sessions on everything from analyzing unstructured data to working with the coolest web tools and building a digital newsroom. The conference, which started in the 1970s, after a Phoenix reporter died in a car bomb while covering the mob, is usually considered an investigative-only playground, but narrative writers can learn a lot from these journalists' techniques and resources. When might a narrative writer need investigative skills? A few possible scenarios: * When developing a character's timeline and activities beyond the basic backgrounding * When navigating precarious relationships with sources * When organizing large and potentially complicated amounts of material * When gathering data and documents that might provide storytelling context - geopolitical, financial, etc. We asked This Land correspondent Kiera Feldman to cover the conference with an eye for material that might be particularly useful in narrative. She netted a range of ideas, tips and resources. Today, in Part 1, she covers areas including documents and data, online research and source relationships. Check back tomorrow for Part 2, "Writing the Investigative Story," with best practices from Ken Armstrong of the Seattle Times and Steve Fainaru of ESPN.
Tom Johnson

Jigsaw: Visual Analytics for Exploring and Understanding Document Collections - 0 views

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    Be sure to view the video tutorial: http://www.cc.gatech.edu/gvu/ii/jigsaw/Jigsaw-tutorial.movhttp://www.cc.gatech.edu/gvu/ii/jigsaw/Jigsaw-tutorial.mov http://www.cc.gatech.edu/gvu/ii/jigsaw/views.html Jigsaw: Visual Analytics for Exploring and Understanding Document Collections System Views Jigsaw presents the individual reports in a document collection and the entities within those reports through a series of visualizations. We call these visualizations the system views. Below, we illustrate each view provided by the system and briefly describe their characteristics. Click on the individual images to see a larger version of the view. Also, a tutorial video illustrates the different views as well and the interactive behavior for each view can be seen on the video tutorial page. -tj
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    Also see "The Information Interfaces Group, an HCI research group in the School of Interactive Computing at Georgia Tech, develops computing technologies that help people take advantage of information to enrich their lives. " http://www.cc.gatech.edu/gvu/ii/
Tom Johnson

TileMill | MapBox - 0 views

  • TileMill is an application for making beautiful maps. Whether you’re a journalist, web designer, researcher, or seasoned cartographer, TileMill is the design studio you need to create compelling, interactive maps. Download TileMill For Mac OS X & Linux Documentation Manual, tutorials, & more Powered by Open Source TileMill is built on a suite of modern open source libraries including Mapnik, node.js, backbone.js, express and CodeMirror. Jump on GitHub where you can dig into the source code.
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    TileMill is an application for making beautiful maps. Whether you're a journalist, web designer, researcher, or seasoned cartographer, TileMill is the design studio you need to create compelling, interactive maps. Download TileMill For Mac OS X & Linux Documentation Manual, tutorials, & more Powered by Open Source TileMill is built on a suite of modern open source libraries including Mapnik, node.js, backbone.js, express and CodeMirror. Jump on GitHub where you can dig into the source code. http://mapbox.com/tilemillTileMill is an application for making beautiful maps. Whether you're a journalist, web designer, researcher, or seasoned cartographer, TileMill is the design studio you need to create compelling, interactive maps. Download TileMill For Mac OS X & Linux Documentation Manual, tutorials, & more Powered by Open Source Only for OSX TileMill is built on a suite of modern open source libraries including Mapnik, node.js, backbone.js, express and CodeMirror. Jump on GitHub where you can dig into the source code. http://mapbox.com/tilemill
Tom Johnson

DIVA-GIS | DIVA-GIS: free, simple & effective - 0 views

  • DIVA-GIS DIVA-GIS is a free computer program for mapping and geographic data analysis (a geographic information system (GIS). With DIVA-GIS you can make maps of the world, or of a very small area, using, for example, state boundaries, rivers, a satellite image, and the locations of sites where an animal species was observed. We also provide free spatial data for the whole world that you can use in DIVA-GIS or other programs. You can use the discussion forum to ask questions, report problems, or make suggestions. Or contact us, and read the blog entries for the latest news. But first download the program and read the documentation. DIVA-GIS is particularly useful for mapping and analyzing biodiversity data, such as the distribution of species, or other 'point-distributions'. It reads and write standard data formats such as ESRI shapefiles, so interoperability is not a problem. DIVA-GIS runs on Windows and (with minor effort) on Mac OSX (see instructions). You can use the program to analyze data, for example by making grid (raster) maps of the distribution of biological diversity, to find areas that have high, low, or complementary levels of diversity. And you can also map and query climate data. You can predict species distributions using the BIOCLIM or DOMAIN models.
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    DIVA-GIS DIVA-GIS is a free computer program for mapping and geographic data analysis (a geographic information system (GIS). With DIVA-GIS you can make maps of the world, or of a very small area, using, for example, state boundaries, rivers, a satellite image, and the locations of sites where an animal species was observed. We also provide free spatial data for the whole world that you can use in DIVA-GIS or other programs. You can use the discussion forum to ask questions, report problems, or make suggestions. Or contact us, and read the blog entries for the latest news. But first download the program and read the documentation. DIVA-GIS is particularly useful for mapping and analyzing biodiversity data, such as the distribution of species, or other 'point-distributions'. It reads and write standard data formats such as ESRI shapefiles, so interoperability is not a problem. DIVA-GIS runs on Windows and (with minor effort) on Mac OSX (see instructions). You can use the program to analyze data, for example by making grid (raster) maps of the distribution of biological diversity, to find areas that have high, low, or complementary levels of diversity. And you can also map and query climate data. You can predict species distributions using the BIOCLIM or DOMAIN models.
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    DIVA-GIS DIVA-GIS is a free computer program for mapping and geographic data analysis (a geographic information system (GIS). With DIVA-GIS you can make maps of the world, or of a very small area, using, for example, state boundaries, rivers, a satellite image, and the locations of sites where an animal species was observed. We also provide free spatial data for the whole world that you can use in DIVA-GIS or other programs. You can use the discussion forum to ask questions, report problems, or make suggestions. Or contact us, and read the blog entries for the latest news. But first download the program and read the documentation. DIVA-GIS is particularly useful for mapping and analyzing biodiversity data, such as the distribution of species, or other 'point-distributions'. It reads and write standard data formats such as ESRI shapefiles, so interoperability is not a problem. DIVA-GIS runs on Windows and (with minor effort) on Mac OSX (see instructions). You can use the program to analyze data, for example by making grid (raster) maps of the distribution of biological diversity, to find areas that have high, low, or complementary levels of diversity. And you can also map and query climate data. You can predict species distributions using the BIOCLIM or DOMAIN models.
Tom Johnson

The Overview Project » VIDEO: document mining with Overview - 0 views

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    VIDEO: document mining with Overview by Jonathan Stray on 10/31/2012 0 With the release of the new, web-only version of Overview that runs in your browser, we thought it was time to make a little video showing how to use it. If that doesn't answer your questions, see also the help page, and the FAQ.
Tom Johnson

T-LAB Tools for Text Analysis - 0 views

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    The all-in-one software for Content Analysis and Text Mining Hello We are pleased to announce the release of T-LAB 8.0. This version represents a major change in the usability and the effectiveness of our software for text analysis. The most significant improvements concern the integration of bottom-up (i.e. unsupervised) methods for exploratory text analysis with top-down (i.e. supervised) approaches for the automated classification of textual units like words, sentences, paragraphs and documents. Among other things, this means that - besides discovering emerging patterns of words and themes from texts - the users can now easily build, apply and validate their models (e.g. dictionaries of categories or pre-existing manual categorizations) both for classical content analysis and for sentiment analysis. For this purpose several T-LAB functionalities have been expanded and a new ergonomic and powerful tool named 'Dictionary-Based Classification' has been added. No specific dictionaries have been built in; however, with some minor re-formatting, lots of resources available over the Internet and customized word lists can be quickly imported. Last but not least, in order to meet the needs of many customers, temporary licenses of the software are now on sale; moreover, without any time limit, the trial mode of the software now allows you to analyse your own texts up to 20 kb in txt format, each of which can include up to 20 short documents. To learn more, use the following link http://www.tlab.it/en/80news.php The Demo, the User's Manual and the Quick Introduction are available at http://www.tlab.it/en/download.php Kind Regards The T-LAB Team web: http://www.tlab.it/ e-mail: info@tlab.it
Tom Johnson

National Science Foundation Helps Fund scrible, A New Web Annotation Tool/Per... - 0 views

  • INFOdocket Information Industry News + New Web Sites and Tools From Gary Price and Shirl Kennedy National Science Foundation Helps Fund scrible, A New Web Annotation Tool/Personal Web Cache + Video Demo Posted on May 12, 2011 by Gary D. Price scrible (pronounced scribble) launched about a week ago and you can learn more (free to register and use) here. The company has received a $500,000 grant from the National Science Foundation. From Venture Beat: The company lets users do three things: Save articles and pages so they’re available if the original goes offline; richly annotate online content using tools reminiscent of Word (highlighter, sticky note, etc.), and share annotated pages privately with others. scrible is free and will continue to be free to all users (125MB of storage space). A premium edition is also planned but features (aside from a larger storage quota) have not been announced. Robert Scoble has posted a video demo of scrible with the CEO of of the company, Victor Karkar, doing the “driving.” scrible sounds a lot like Diigo without the mobile access options. It also sounds similar (minus the markup features) to Pinboard. Pinboard does charge $9.97 for a lifetime membership with almost all features (there are many with new ones are debut regularly). For an extra $25/year all of the material you’ve bookmarked is cached by Pinboard. Cached pages look great INCLUDING PDF files. Pinboard is extremely fast and has a very low learning curve. Think Delicious and then add a ton of useful tools to it. Pinboard also provides mobile access to your saved bookmarks and cached documents. Finally, when used responsibly (aka abused) there are no storage space quotas. Which service do you prefer or does each service have a niche depending on the work you’re doing? What other tools to you use? Hat Tips and Thanks: @NspireD2 and @New Media Consortium Share this: Share Share Tagged: Annotation Tools, Diigo, Pinboard, scrible Posted in: Personal Archiving, Web To
  • INFOdocket Information Industry News + New Web Sites and Tools From Gary Price and Shirl Kennedy National Science Foundation Helps Fund scrible, A New Web Annotation Tool/Personal Web Cache + Video Demo Posted on May 12, 2011 by Gary D. Price scrible (pronounced scribble) launched about a week ago and you can learn more (free to register and use) here. The company has received a $500,000 grant from the National Science Foundation. From Venture Beat: The company lets users do three things: Save articles and pages so they’re available if the original goes offline; richly annotate online content using tools reminiscent of Word (highlighter, sticky note, etc.), and share annotated pages privately with others. scrible is free and will continue to be free to all users (125MB of storage space). A premium edition is also planned but features (aside from a larger storage quota) have not been announced. Robert Scoble has posted a video demo of scrible with the CEO of of the company, Victor Karkar, doing the “driving.” scrible sounds a lot like Diigo without the mobile access options. It also sounds similar (minus the markup features) to Pinboard. Pinboard does charge $9.97 for a lifetime membership with almost all features (there are many with new ones are debut regularly). For an extra $25/year all of the material you’ve bookmarked is cached by Pinboard. Cached pages look great INCLUDING PDF files. Pinboard is extremely fast and has a very low learning curve. Think Delicious and then add a ton of useful tools to it. Pinboard also provides mobile access to your saved bookmarks and cached documents. Finally, when used responsibly (aka abused) there are no storage space quotas. Which service do you prefer or does each service have a niche depending on the work you’re doing? What other tools to you use? Hat Tips and Thanks: @NspireD2 and @New Media Consortium Share this: Share Share Tagged: Annotation Tools, Diigo, Pinboard, scrible Posted in: Personal Archiving, Web Tools
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    " INFOdocket Information Industry News + New Web Sites and Tools From Gary Price and Shirl Kennedy National Science Foundation Helps Fund scrible, A New Web Annotation Tool/Personal Web Cache + Video Demo Posted on May 12, 2011 by Gary D. Price scrible (pronounced scribble) launched about a week ago and you can learn more (free to register and use) here. The company has received a $500,000 grant from the National Science Foundation. From Venture Beat: The company lets users do three things: Save articles and pages so they're available if the original goes offline; richly annotate online content using tools reminiscent of Word (highlighter, sticky note, etc.), and share annotated pages privately with others. scrible is free and will continue to be free to all users (125MB of storage space). A premium edition is also planned but features (aside from a larger storage quota) have not been announced. Robert Scoble has posted a video demo of scrible with the CEO of of the company, Victor Karkar, doing the "driving." scrible sounds a lot like Diigo without the mobile access options. It also sounds similar (minus the markup features) to Pinboard. Pinboard does charge $9.97 for a lifetime membership with almost all features (there are many with new ones are debut regularly). For an extra $25/year all of the material you've bookmarked is cached by Pinboard. Cached pages look great INCLUDING PDF files. Pinboard is extremely fast and has a very low learning curve. Think Delicious and then add a ton of useful tools to it. Pinboard also provides mobile access to your saved bookmarks and cached documents. Finally, when used responsibly (aka abused) there are no storage space quotas. Which service do you prefer or does each service have a niche depending on the work you're doing? What other tools to you use? Hat Tips and Thanks: @NspireD2 and @New Media Consortium Share this: Share Tagged: Annotation Tools, Diigo, Pinboard, scrible Posted in: P
Tom Johnson

Future Journalism Project - Jonathan Stray of the Associated Press on... - 0 views

  • Jonathan Stray of the Associated Press on investigating thousands (or millions) of documents by visualizing clusters. Presentation is from February 2011 at the National Institute of Computer-Assisted Reporting. Visualizations built with multidimensional scaling algorithm Glimmer.
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    Jonathan Stray of the Associated Press on investigating thousands (or millions) of documents by visualizing clusters. Presentation is from February 2011 at the National Institute of Computer-Assisted Reporting. Visualizations built with multidimensional scaling algorithm Glimmer.
Tom Johnson

BuzzData | Blog - 0 views

  • My blog All of Tumblr What is BuzzData? Data should be free-flowing, well-organized and easy to share. Wouldn’t it be nice if there was a place where you could store, share and show off your data with just a couple of mouse clicks? BuzzData lets you publish your data in a smarter, easier way. Instead of juggling versions and overwriting files, use BuzzData and enjoy a social network designed for data.
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    What is BuzzData? Data should be free-flowing, well-organized and easy to share. Wouldn't it be nice if there was a place where you could store, share and show off your data with just a couple of mouse clicks? BuzzData lets you publish your data in a smarter, easier way. Instead of juggling versions and overwriting files, use BuzzData and enjoy a social network designed for data."
Tom Johnson

Beautiful but Terrible Pyramids: Tableau Edition - The Excel Charts Blog - 0 views

  • Beautiful but Terrible Pyramids: Tableau Edition by Jorge Camoes on July 12, 2011 // Well, here is my first chart in Tableau, finally! After publishing my experiments with population pyramids (using Excel), I thought I could try Tableau Public with the same dataset from the US Census Bureau. Here is the result. I never really played before with Tableau Public and it took my less than an hour to upload the data and make this chart, without reading a manual or watching a tutorial (changing line colors was the hard part). It says a lot about its usability.
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    Beautiful but Terrible Pyramids: Tableau Edition by Jorge Camoes on July 12, 2011 Well, here is my first chart in Tableau, finally! After publishing my experiments with population pyramids (using Excel), I thought I could try Tableau Public with the same dataset from the US Census Bureau. Here is the result. I never really played before with Tableau Public and it took my less than an hour to upload the data and make this chart, without reading a manual or watching a tutorial (changing line colors was the hard part). It says a lot about its usability. http://www.excelcharts.com/blog/beautiful-but-terrible-pyramids-tableau-edition/?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+JCCharts+%28Excel+Charts+Blog%29
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    Select your favorite nation. Note how this could be used to illustrate population changes for a single nation over time or nation-to-nation comparisons.
Tom Johnson

New: World Health Organization (WHO) Releases Database on Nutrition, Obesity ... - 0 views

  • New: World Health Organization (WHO) Releases Database on Nutrition, Obesity and Physical Activity (NOPA) Posted on June 5, 2011 by Gary D. Price From a WHO Announcement: The NOPA database has been created in close collaboration with health ministries and with support from the European Commission. It includes details on more than 300 national and sub-national policies that address nutrition, physical activity or obesity. Most of these policy documents have been developed in the past six years and refer to lifestyle trends such as the increasing consumption of industrially produced foods high in fat and sugar and declining physical activity. Physical inactivity and poor nutrition are considered to be risk factors to many non-communicable diseases, such as heart diseases and stroke, diabetes, cancer, and mental health disorders. The measurable indicators for policy development have been identified and monitored at the national level in accordance with the commitments made through the European Charter on Counteracting Obesity and the WHO European Action Plan for Food and Nutrition Policy 2007–2012. As an example of these commitments, the Nutrition, Obesity and Physical Activity Database shows that 28 Member States have stated that they plan to take action on physical activity in the school setting, 11 plan to address the adequate labeling of food products and 9 plan to deal with appropriate food marketing practices. Direct to NOPA Database
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    New: World Health Organization (WHO) Releases Database on Nutrition, Obesity and Physical Activity (NOPA) Posted on June 5, 2011 by Gary D. Price From a WHO Announcement: The NOPA database has been created in close collaboration with health ministries and with support from the European Commission. It includes details on more than 300 national and sub-national policies that address nutrition, physical activity or obesity. Most of these policy documents have been developed in the past six years and refer to lifestyle trends such as the increasing consumption of industrially produced foods high in fat and sugar and declining physical activity. Physical inactivity and poor nutrition are considered to be risk factors to many non-communicable diseases, such as heart diseases and stroke, diabetes, cancer, and mental health disorders. The measurable indicators for policy development have been identified and monitored at the national level in accordance with the commitments made through the European Charter on Counteracting Obesity and the WHO European Action Plan for Food and Nutrition Policy 2007-2012. As an example of these commitments, the Nutrition, Obesity and Physical Activity Database shows that 28 Member States have stated that they plan to take action on physical activity in the school setting, 11 plan to address the adequate labeling of food products and 9 plan to deal with appropriate food marketing practices. Direct to NOPA Database http://infodocket.com/2011/06/05/new-world-health-organization-who-releases-database-on-nutrition-obesity-and-physical-activity-nopa/?utm_source=twitterfeed&utm_medium=twitter
Tom Johnson

Resources - Data and Software - Capturing human rights data in Analyzer - 0 views

  • Capturing human rights data in Analyzer Human rights groups collect data containing details of human right abuses from various sources, including medical records, newspaper articles, witness testimonies, letters, interviews, and official reports and documents. Analyzer can be used to capture this data for analysis. Data is coded according to the "Who did what to whom" model and entered into the capture set of Analyzer. Data about the source of the information is entered in the source tab, shown in Figure 1. (Note: the data in the figures shown here, unless otherwise indicated, are from a sample, not an actual, dataset.)
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    Human rights groups collect data containing details of human right abuses from various sources, including medical records, newspaper articles, witness testimonies, letters, interviews, and official reports and documents. Analyzer can be used to capture this data for analysis. Data is coded according to the "Who did what to whom" model and entered into the capture set of Analyzer. Data about the source of the information is entered in the source tab, shown in Figure 1. (Note: the data in the figures shown here, unless otherwise indicated, are from a sample, not an actual, dataset.)
Tom Johnson

Graphviz - Graph Visualization Software - 0 views

  • Welcome to Graphviz  Available translations:Belorussian What is Graphviz? Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics,  software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.   Features The Graphviz layout programs take descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser. (Graphviz also supports GXL, an XML dialect.)  Graphviz has many useful features for concrete diagrams, such as options for colors, fonts, tabular node layouts, line styles, hyperlinks, rolland custom shapes.
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    Welcome to Graphviz Available translations:Belorussian What is Graphviz? Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. Features The Graphviz layout programs take descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser. (Graphviz also supports GXL, an XML dialect.) Graphviz has many useful features for concrete diagrams, such as options for colors, fonts, tabular node layouts, line styles, hyperlinks, rolland custom shapes.
Tom Johnson

flare | visualization on the web - 0 views

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    Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java.
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