I have found the following two links helpful when considering data anonymization and privacy issues in general.
http://www.caida.org/data/anonymization/
http://arstechnica.com/tech-policy/2009/09/your-secrets-live-online-in-databases-of-ruin/
This looks awesome. I'll have to remember this for those situations where I am looking to embed metadata.
iPhoto is Apple's default photo management solution. I have used it since early 2004 when I purchased my first Mac. I currently run OS X 10.6.8. and iPhoto '09 (iPhoto version 8.1.2 Build 424). In late 2013, this is considered an old version of the OS and an old version of iPhoto. I have seen more recent versions of iPhoto as my wife runs 10.7 and a newer version of iPhoto.
In the spring of 2012 I purchased a Cannon t3i and started to shoot RAW. (Read large photo size and editable images.) So, I need a photo editing solution with more power than iPhoto. My iPhoto collection was also starting to wax big approaching 28,000 images at the time (and why not after 9 years of collecting photos).
iPhoto is a brilliant way to browse photos and gives great access to simple tools to crop, rotate, and apply redeye reduction. However, iPhoto has a weakness when it comes to embedded metadata. If you want to export your photo, with geo-tagged location, and with keywords applied then one needed to export the photo as a .jpg. And one could not apply these metadata "enrichments" to the original photo file type. iPhoto's "Export Original" is just that, the original file, not the original plus added metadata.
Enter Lightroom. Continue reading
This summer (June-August) I added 629 new citation to EndNote - mostly by hand. Of those citation 392 of them had PDFs attached to the citation. I am ready to learn how to more effectively use Endnote. I estimate that I still have 450 PDFs in various folders from courses and research trips to the library over the last few years that I need to add to EndNote.
I usually try and download .ris files when I find a resource I want to cite or use. The problem is that EndNote X6 does not allow for importing more than one .ris file at a time.
To speed up the process I have learned to use the OS X Concatenate command in terminal: cat.
I open up terminal. type cd type drag my folder containing the .ris files I want to add to EndNote over the blinking cursor and hit enter. I then type cat and drag all the .ris files I want to concatenate to one .ris file. type a > symbol and the new .ris file's name. The result is a concatenation of all the data from the many .ris files into one .ris file. This allows me to go back to EndNote and import all the one massive .ris file and save clicks.
Today I gave Becky her birthday gift. I got her a guitar stand and a new hat. The perfect combo to help someone move into a new place, a new level of interest in an old skill and a new look/persona to go with the music.
Guitar stand and Hat.
In a recent paper Jeremy Nordmoe, a friend and colleague, states that:
Because most linguists archive documents infrequently, they will never be experts at doing so, nor will they be experts in the intricacies of metadata schemas. [1] Jeremy Nordmoe. 2011. Introducing RAMP: an application for packaging metadata and resources offline for submission to an institutional repository. In Proceedings of Workshop on Language … Continue reading
My initial reply is:
You are d@#n right! and it is because archives are not sexy enough!
References
| ↑1 | Jeremy Nordmoe. 2011. Introducing RAMP: an application for packaging metadata and resources offline for submission to an institutional repository. In Proceedings of Workshop on Language Documentation & Archiving 18 November 2011 at SOAS, London. Edited by: David Nathan. p. 27-32. [Preprint PDF] |
I have been doing some thinking about what would make OLAC search more valuable to its current users and to its targeted users. One of the things which would make it more useful would be if the NSF, a partial funder for OLAC and OLAC search, would aggregate its language related grants, scholarships, fellowships and awards through OLAC.
Some of these Grant proposals are really well written, and well cited documents which explain a certain snapshot of the language situation. Even the announcements that a grants like From Endangered Language Documentation to Phonetic Documentation has been awarded would allow other researchers to know that someone has applied or been awarded a block of funding to work on a particular language situation.
Notice of NSF Grant award
I was particularly happy to find that NSF does have a grant offering and grant awarded search section. But aggregating this knowledge with prior research would really give interested parties in particular languages the integrated perspective.
A document’s DOI (http://www.doi.org/ or on Wikipedia under Digital Object Identifier) is an important part of the citation of a document [1] Chelsea Lee. 21 September 2009. A DOI Primer. APA Style Blog. http://blog.apastyle.org/apastyle/2009/09/a-doi-primer.html [Accessed: 10 April 2011] [Link] . Many style sheets allow for just the DOI of a paper as the citation. Because DOIs are unique they can act as URIs which are resolvable and look like URLs [2] Dion Almaer. 23 November 2007. URI vs. URL: What’s the difference?. Ajaxian. http://ajaxian.com/archives/uri-vs-url-whats-the-difference. [Accessed: 10 April 2012] [Link] . However, a DOI is different than a URL for where a digital object might be located. It might be well argued that a DOI should be tracked in the metadata schemes of archives which collect language and linguistic data.
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References
| ↑1 | Chelsea Lee. 21 September 2009. A DOI Primer. APA Style Blog. http://blog.apastyle.org/apastyle/2009/09/a-doi-primer.html [Accessed: 10 April 2011] [Link] |
| ↑2 | Dion Almaer. 23 November 2007. URI vs. URL: What’s the difference?. Ajaxian. http://ajaxian.com/archives/uri-vs-url-whats-the-difference. [Accessed: 10 April 2012] [Link] |
This post is a open draft! It might be updated at any time... But was last updated on at .
Metadata is very important - Everyone agrees. However, there is some discussion when it comes to how to develop metadata and also how to ensure that the metadata is accurate. Taxonomies are limited vocabularies (a set number of items) where each term has a predefined definition. A folksonomy is a vocabulary where people, usually users of data, assign their own useful words or metadata to an item. Folksonomies are like taxonomies in that they are both sets but are unlike taxonomies in the sense that they are an open set where taxonomies are closed sets.
An example of a taxonomy might be the colors of a traffic light: Red, Yellow, and Green. If this were a folksonomy people might suggest also the colors of Amber, Orange, Blue-Green and Blue. These additional terms may be accurate to some viewers of traffic lights or in some cases but they do not fit the stereo-typical model for what are the colors of traffic lights.
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