Friday, April 1, 2016

Coursera Data Management and Sharing MOOC - Opening March 1st

Understanding The Transaction Cost Analysis
The School of Information and Library Science and the Odum Institute at the University of North Carolina-Chapel Hill and the MANTRA team at the University of Edinburgh are pleased to announce the forthcoming Coursera MOOC (Massive Open Online Course), Research Data Management and Sharing.

This is a collaboration of the UNC-CH CRADLE team (Curating Research Assets and Data Using Lifecycle Education) and MANTRA.
CRADLE has been funded in part by the Institute of Museum and Library Services to develop training for both researchers and library professionals. MANTRA was designed as a prime resource for postgraduate training in research data management skills and is used by learners worldwide.

The MOOC uses the Coursera on-demand format to provide short, video-based lessons and assessments across a five-week period, but learners can proceed at their own pace. Although no formal credit is assigned for the MOOC, Statements of Accomplishment will be available to any learner who completes a course for a small fee.

The Research Data Management and Sharing MOOC will launch 1st March, 2016. Subjects covered in the 5-week course follow the stages of any research project. They are:


Understanding Research Data
Data Management PlanningTproi
Working with DataOiy
Sharing DataI
Archiving Data


Dr. Helen Tibbo from the School of Information and Library Science (SILS) at the University of North Carolina at Chapel Hill delivers four of the five sets of lessons, and Sarah Jones, Digital Curation Centre, delivers the University of Edinburgh-developed content in Week 3, Working with Data. Quizzes and supplementary videos add to the learning experience, and assignments are peer reviewed by fellow learners, with questions and answers handled by peers and team teachers in the forum.

Staff from both organizations will monitor the learning forums and the peer-reviewed assignments to make sure learners are on the right track, and to watch for adjustments needed in course content.
Visit the real page here - http://optimisticinfo.blogspot.in/2016/02/coursera-data-management-and-sharing.html

A Selection of Research Data Management Tools Throughout the Data Lifecycle


Transaction Cost Analysis (TCA)
A Selection of Research Data Management Tools Throughout the Data Lifecycle. Jan Krause. Ecole polytechnique fédérale de Lausanne. September 9, 2015. [PDF]
     This article looks at the data lifecycle management phases and the many tools that exist to help manage data throughout the process. These tools will help researchers make the most out of their data, save time in the long run, promote reproducible research, and minimize the risks with the data. The lifecycle management phases are: discovery, acquisition, analysis, collaboration, writing, publication and deposit in trusted data repositories.  There are tools in each of the areas. A few of the many tools listed are:
How to Develop a Data Management and Sharing Plan
DMPonline and DMPTool  to help write data management plans.
Recommended Data Formats
ownCloud synchronizes and shares data on several computers
re3data global registry of 1,200+ research data repositories in different disciplines
It is important to use appropriated data and metadata standards, especially data formats, which should happen at the beginning since these are difficult to after the project is started.

IT - Get busy living or get busy dying

TCA Software Companies
“Well I believe in God, and the only thing that scares me is Information Technology (IT)” is slowly becoming the hidden truth within the business organizations where IT is not a core business.  Once seen as a partner and innovator for the business is slowly getting reduced to keeper of software and hardware.  IT conferences and CIO summit’s are now focussed on redefining the IT landscape and role of the CIO in the current environment.  We have to revisit the ways of working and adapt to the real needs of the business.  A brief look at what has caused this transformation.

Cost Center : IT department is one of the cost center’s of the organization.  As with every cost center, the organization is focussed on keep the spend in check.  Budgets usually run very thin and when the going gets tough IT budgets are the first ones to get slashed.  Usual targets of IT organization from the CEO is to cut next year IT spend by 10% - 20%

Organization construct :  IT Manager / CIO usually reports in to the CFO (Chief Financial Officer).  Go figure.  CIO’s seldom get a seat at the table of the Level 1 leadership of the organization.    This cripples the head of the IT organization to have a clear view on the company goals and how he/she can help reshape IT to support the same

Traditional IT approach :  The current environment is fast paced and agile.  Everyday there are new things out in the market from Big Data, Cloud, Mobility, Internet of things, predictive and prescriptive analytics, Machine learning ….. Unfortunately, the incumbent IT organizations are laggers - look for detailed requirements to be captured, a long drawn project - usually waterfall, multiple processes with checks and balances.  When Cloud is promising to stand up your environment in 2 weeks, the project to implement Cloud takes more than a year.

IT Consumerization :  With SaaS and PaaS models, Apple store / market place models, the business can do what they need to do without IT.  To complicate further, with PaaS models, there is heavy rise in Shadow IT.  (Check out Gartner’s article on BiModal IT to supplement Shadow IT).  Honestly, today’s software vendors selling point is, “You do NOT need your IT to run our software”.  This shift has transformed IT to a Asset Repository (or License Manager)

IT’s Way of working :  Typical IT organizations outsource 80-90% of their activities predominantly to keep the cost in check.  The key here is how the model is designed.  In an attempt to oversimplify, IT bundles the similar technologies or platform together.  From a business perspective, for a support of single application, they are looking at multiple support teams with limited to no understanding of the business context or problem.  Ever heard this quote from Taken.  “I don't know who you are, where you are, but I will find you and …..”  That is exactly how they will feel. (I will follow up with an article explaining this very subject)

Expensive / Takes too long :  This reminds me of Dr Evil and his famous Quote - “One Million Dollars”.  With the IT toolkits and the support model, any change would essentially mean a redesign, rearchitecture leading to expensive and long projects.  The sad part of this is the end product either misses the mark or little too late


IT needs to go through a complete overhaul right from the way the organization is structured - Leadership, Projects, Support, Architecture to take advantages and keep up with the fast paced changes.  Hadoop and the Big data came in to existence in 2005.  A decade later there are only handful of organizations using it in upstream.  I had to end this with a closing remark from my favorite movie - “Get Busy Living or Get Busy Dying”.
Go here - http://data-management-matters.blogspot.in/2015/06/it-get-busy-living-or-get-busy-dying.html