Merge branch 'gh-pages' of github.com:tom-h/ARDC-23-things into gh-pages

_things/thing-02.md

@@ -5,7 +5,7 @@ title: Issues in research data management
 overview:
  - 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?"
+ - Challenge me: "what are the issues when data is part of a Lab Notebook?"
 category: Ready, set, data
 description: |
     Research data is critical to solving the big questions of our time. So
@@ -42,6 +42,10 @@ 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?
+- Post to the [Data Librarians Slack group](https://tiny.cc/data-librarians) to connect with the community.
+- Tweet to [@ardc_au](https://twitter.com/ARDC_AU) using \#23things
+
 ## Learn more
 ### How do you manage "Big Data"?
 
@@ -52,11 +56,18 @@ data, preservation,
 [provenance](https://www.ands.org.au/working-with-data/publishing-and-reusing-data/data-provenance "Data provenance"),
 and more.
 
+Read this post and presentation: [Big Data: The 5 Vs Everyone Must Know](https://www.linkedin.com/pulse/20140306073407-64875646-big-data-the-5-vs-everyone-must-know). This article uses the 5 Vs: volume, variety, velocity, veracity and value as a concept for how big data can be managed more successfully.
+The [Pawsey Supercomputing Centre](https://www.pawsey.org.au/) located in Perth, Western Australia supports researchers across Australia with an array of capabilities encompassing supercomputing, data and visualisation services. Review [case studies](https://www.pawsey.org.au/case-studies/) of some of the interesting research projects that involve the use of big data undertaken at the centre.
+
 **Consider:** your views on whether the concept of the 5 Vs is useful to
 support better management and reuse of Big Data. If you don't think the
 5 Vs 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?
+- Post to the [Data Librarians Slack group](https://tiny.cc/data-librarians) to connect with the community.
+- Tweet to [@ardc_au](https://twitter.com/ARDC_AU) using \#23things
+
 ## Challenge me
 ### Digital data in Lab Notebooks
 
@@ -73,4 +84,8 @@ either during or after the project has ended.
 
 1\. Read this [short guide](https://dx.doi.org/10.1038/d41586-018-05895-3) to choosing an ELN 
 2\. Then read this article [International team of scientists open sources search for malaria cure](https://opensource.com/life/14/6/international-team-open-sources-search-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](http://malaria.ourexperiment.org/). Click on Matthew Todd's ELN to see what is recorded.
-3\. Check out [Harvard Medical School’s](http://malaria.ourexperiment.org/) comparative matrix of ELN platforms
+3\. Check out [Harvard Medical School’s](http://malaria.ourexperiment.org/) comparative matrix of ELN platforms
+
+Do you have a question?  Want to share a resource?
+- Post to the [Data Librarians Slack group](https://tiny.cc/data-librarians) to connect with the community.
+- Tweet to [@ardc_au](https://twitter.com/ARDC_AU) using \#23things

_things/thing-03.md

@@ -7,8 +7,8 @@ description: |
     Data and its management change over time. Here we look at data and 
     research lifecycles and make connections between them.
 overview:
- Getting started: follow the pink circles around the data lifecycle
- Learn more: how would you modify a Lifecycle model for your institution?
+ Getting started: follow the circles around the data lifecycle
+ Learn more: how would you modify a lifecycle model for your institution?
  Challenge me: share the current emerging opportunities for institutions to integrate management systems for your research data assets
 category: Ready, set, data
 ---
@@ -22,8 +22,8 @@ dataset goes through as the research project moves from "having a
 brilliant idea" to "making ground breaking discoveries" to "telling the
 world about it".
 
-Watch the short video on the [UK Data Archive Research Data
-Lifecycle](http://www.data-archive.ac.uk/create-manage/life-cycle)
+Watch the short video on the [UK Data Service Data
+Lifecycle](https://www.ukdataservice.ac.uk/manage-data/lifecycle.aspx)
 
 **Consider:** What other things impact how data is managed through the
 lifecycle? For example, this could be funding policies which make
@@ -35,32 +35,26 @@ longitudinal study.
 
 Data often have a longer lifespan than the research project that creates
 them. Follow-up projects may analyse or add to the data, and data may be
-reused by other researchers. Journals publishers are increasingly
+reused by other researchers. Journal publishers are increasingly
 mandating that the data underpinning a journal article be retained and
 made accessible for the long term. Data needs to managed carefully to
 ensure long-term preservation.
 
 -   Take a look at the [DCC Curation Lifecycle
     Model](http://www.dcc.ac.uk/resources/curation-lifecycle-model)
-    which concentrates of preservation and curation within data
+    which concentrates on preservation and curation within data
     management.
 
-**Consider:** a modification or addition you would include to make this
-model contextualised to your situation.
+**Consider:** how you might adapt this model to your local organisational context.
 
 ## Challenge me
 ### Research data management in practice
 
 Data management is likely to be most effective where it is integrated
 into existing system-wide research and administrative processes. New
-software and products are being developed particularly with this in
+software, tools and platforms are being developed particularly with this in
 mind.
 
--   Skim through this ANDS Guide [Research Data Management in
-    Practice](https://www.ands.org.au/guides/rdm-in-practice "Research data management in practice")
--   Look carefully at Figure 1 *Key Steps in Research Data Management*,
-    Section 3.
+-   Read through this 2018 F1000 article [Best practice data life cycle approaches for the life sciences](https://doi.org/10.12688/f1000research.12344.2) and look carefully at Figure 2
 
-**Consider:** your experience about the current emerging opportunities
-for institutions to integrate management systems for their research data
-assets.
+**Consider:** your experience with emerging opportunities for researchers to integrate lifecycle workflows to manage their research data assets.

_things/thing-08.md

@@ -8,7 +8,7 @@ description: |
     citation and metrics for data and related research objects?
 overview:
  Getting started: what are DOIs and why are they critical for accurate citation metrics?
- Learn more: delves into altmetrics (and donuts!)
+ Learn more: delve into altmetrics (and donuts!)
  Challenge me: what about minting DOIs for software, algorithms and grey literature?
 category: Data citation & impact
 ---
@@ -21,9 +21,8 @@ you want to explore or know more about.
 
 Digital Object Identifiers (DOIs) are unique identifiers that provide
 persistent access to published articles, datasets, software versions and
-a range of other research inputs and outputs. There are over 120 million
-DOIs in use, and last year DOIs were “resolved” (clicked on) over five
-billion times.
+a range of other research inputs and outputs. There are over [190 million
+DOIs in use](https://www.doi.org/factsheets/DOIKeyFacts.html), and last year DOIs were “resolved” (clicked on) over five billion times.
 
 Each DOI is unique but a typical DOI looks like this: <https://doi.org/10.4225/08/50F62E0D359D5>
 
@@ -121,4 +120,4 @@ through the
 [slides](http://www.slideshare.net/AustralianNationalDataService/doi-service-expanded-from-webinar-11th-may-2016).
 
 **Consider:** What do you think are the critical issues to ensure the
-persistence of DOIs over a number of years?
+persistence of DOIs over a number of years?

_things/thing-15.md

@@ -61,9 +61,9 @@ definition](https://www.ddialliance.org/taxonomy/term/198)).
     Plans](http://riojournal.com/articles.php?id=13086). This White
     Paper is long, but incredibly rich - scroll down for lots of
     use-cases, interoperability, data discovery and more.
-2.  Check out how The University of Queensland is re-imagining DMPs in
-    the blog post [DMRs, making DMP’s relevant
-    again](https://web.archive.org/web/20180509004414/http://andscentral.blogspot.com.au/2017/05/dmrs-making-dmps-relevant-again.html).
+2.  Take a look at a European perspective on Australia's tools for creating and
+    integrating DMPs in the blog post [DMP Inspiration Down Under](http://www.dcc.ac.uk/blog/dmp-inspiration-down-under), and see what lessons we can learn from Europe in [this Webinar](https://ardc.edu.au/resource/data-management-planning-lessons-for-europe-webinar-video/) from Sarah Jones
+    of the Digital Curation Centre.
 
 
 **Consider:** Do you think machine-actionable DMPs will make them more
@@ -90,4 +90,4 @@ active, dynamic, machine-readable and FAIR. Can you suggest additional
 goals or further enhancements?
 
 [Find out about the work of the Australasian DMP Interest
-Group](http://tiny.cc/DMP-IG)
+Group](http://tiny.cc/DMP-IG)