The twitter hashtag #SoDS is being used in 2015 to help people track and share what they are learning. The hashtag originated on the Becoming Data Scientist blog.
I recently wrote a post for Sense about a number of freely available learning opportunities this summer, Start Learning with the Summer of Data Science. The post covers:
- MOOCs starting soon
- Large list of open-access journals
If you are interested, go check out the post and start your #SoDS. Hurry, many of the opportunities start very soon.
This discussion was held at the KDD 2013 Conference in Chicago. The title says it all. Here is the full discussion.
The following people were involved in the discussion.
Nature.com is starting a new publication titled, Scientific Data. The goal is to help researchers publish and discover data. The publication content is called a Data Descriptor. It describes the data, explains the data collection methods, lists the columns, and states other essential information about the dataset.
Unfortunately, the site does not host any of the data. I think it will be interesting to watch how a site like this develops. The publication is currently accepting submissions.
The inaugural issue of Big Data was published a few weeks ago. The journal is excellent. The articles are relevant, readable, and free. In the first issue, most of the articles were not super technical (meaning there was not a lot of equations or algorithms). I would like to highlight just 5 of the articles (feel free to read the others as well).
- Making Sense of Big Data – A nice brief discussion of the term big data and some goals for the journal.
- Big Data For Development – This is an introduction to United Nations Global Pulse, an initiative to use data to better understand human well-being.
- Broad Data: Exploring the Emerging Web of Data – This article is all about dealing with the explosion of open data becoming available.
- Data Science and Its Relationship to Big Data and Data-Driven Decision Making – The title is pretty self-explanatory. The article points out 7 fundamental concepts of data science.
- Educating the Next Generation of Data Scientists – This is a roundtable discussion all about data science and data science education.
Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.
This definition is provided by Edd Dumbill, Editor-in-Chief of Big Data. It appeared in the March 2013 issue in the article, Making Sense of Big Data,.
The very first issue of Big Data Journal is out. All the articles are freely available for download. The titles and authors of the articles look quite good. I will probably be posting more as I read through some of the articles.
Springer has just release a new data science journal named EPJ Data Science. The journal is open access which means that articles are freely available online. That catch is that people whom submit articles must pay a fee for publication. Sometimes the fee will be covered by the author’s university or company. Anyhow, if you are interested in data science research, this journal is probably worth following.
Are you interested in academic journals?
Does this excite you?