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Thing 2: Issues in research data management

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Thing 2: Issues in research data management

Research data is critical to solving the big questions of our time.  So what are some of the issues we face in managing research data?

  • Getting started: Watch a cartoon about what happens when a researcher hasn't managed their data (at all…) What could possibly go wrong!?
  • Learn more: the 5Vs about Big Data everyone must know
  • Challenge me: what are the issues when data is part of an eLab Notebook?

Getting StartedLearn MoreChallenge me

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Thing 2: Issues in research data management

Research data is for everyone.  Governments and universities all around Australia and the world are now encouraging researchers to better manage their data so others can re-use it.

Research data might be critical to solving the big questions of our time, but so much data are being lost or poorly managed.

  1. Take just a minute and browse over some ways Queensland Government Datais being used by businesses, families, travellers, farmers.
  2. This 4.40mins cartoon put together by the New York University Health Sciences Library, is about what happens when a researcher hasn't managed their data (at all…) What could possibly go wrong!?
    As you watch the cartoon jot down the data management mistakes which interest or appal you.
  3. Now, scan through the dot points in the Consider the following…. section of the University of the Sunshine Coast's LibGuide which provides advice for researchers on how to manage their data.

Consider: how just ONE of the data disasters depicted in the cartoon could have been avoided.

Do you have a question?  Want to share a resource?


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Thing 2: Issues in research data management

"Big Data" is a term we're hearing with increasing frequency. Data management for Big Data brings much complexity - citing dynamic data, software, high volume compute, storage costs, transfer of petabytes of data, preservation, provenance, more.

  1. Read this post and presentation titled: "Big Data: The 5Vs Everyone Must Know.

    This article uses 5V's: volume, variety, velocity, veracity and value as a concept for how big data can be managed more successfully.

Consider: your views on whether the concept of the 5Vs is useful to support better management and reuse of "Big Data". If you don't think 5Vs is of value, is there another framework or concept model which could be useful for exploring data management for big data?

Do you have a question?  Want to share a resource?


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Thing 2: Issues in research data management

Laboratory Notebooks are used by researchers to formally record their research activities. As research has become increasingly digital and collaborative the utility of traditional hard copy Lab Notebooks has been challenged.  Not surprisingly then, eLab Notebooks (ELN) have emerged as an alternative.

Effective data management for constantly updated data, such as that within ELNs, is a real challenge for projects who wish to publish their data during the project.

  1. Read this short definition of ELNs
  2. Then read this article: International team of scientists open sources search for malaria cure about how an international team of scientists and citizen scientists are using open source ELNs to speed up a cure for malaria. You can see their open ELNs here.  Click on Matthew Todd's ELN to see what it's in it.

Consider: your view on a data management issue and possible solutions, where data is generated, stored and shared via an open ELN.

Do you have a question?  Want to share a resource?


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