Merge pull request #5 from au-research/gh-pages

9 March update

_things/thing-08.md

@@ -12,9 +12,6 @@ overview:
  Challenge me: what about minting DOIs for software, algorithms and grey literature?
 category: Data citation & impact
 ---
-**Did you know?** You don't need to do all three streams, or even stay
-in the same stream. 23 Things is about picking which Things and streams
-you want to explore or know more about.
 
 ## Getting started
 ### DOIs, data citation and metrics

_things/thing-16.md

@@ -5,28 +5,23 @@ title: 'What are publishers & funders saying about data?'
 short_title: 'Publishers & funders'
 description: |
     Data sharing policies are becoming increasingly common in Australia and
-    internationally.  Learn why research funders and journal publishers are
+    internationally. Learn why research funders and journal publishers are
     particularly influential when it comes to encouraging data availability.
 overview:
  Getting started: experience what it’s like to navigate journal data policies
- Learn more: this newly announced journal data policy might affect data around the globe...
- Challenge me: 2020 vision about the future of data and funders
+ Learn more: this journal data policy might affect data around the globe...
+ Challenge me: the future of data and funders
 category: Let's talk data
 ---
 ## Getting started
-### Two choices for Thing 16!
+### Two choices for this Thing!
 
-Two exciting things are happening with data and journal publishers. More
-and more journal publishers are asking authors to make the
+More and more journal publishers are asking authors to make the
 data underpinning a journal article available. And, new forms of data
 publishing are emerging: data journals.
 
-![publishers with data policies](../images/funders-slide.png)
-
 It’s all about ensuring that the research being described in the article
-is based on solid, reproducible science. Thinking back to [Thing 5: Data
-Sharing](thing-5.md), remember that *available* can be “open” or “shared” through mediated
-access.
+is based on solid, reproducible science.
 
 ### Choice 1: Journal data policies
 
@@ -90,26 +85,25 @@ data sharing upon publication at the end.
 ### Research funders and data sharing
 
 The Australian National Health and Medical Research Council (NHMRC)
-funded more than \$896 million (2015) for health and medical research
+funded more than $896 million (2015) for health and medical research
 including 1030 new grants to universities, medical research institutions
 and hospitals across Australia.
 
-1\. Start by reading the [NHMRC Open Access
+1. Start by reading the [NHMRC Open Access
 Policy](https://www.nhmrc.gov.au/about-us/resources/open-access-policy)
 (section 3.2 and Appendix 2) and note the lifecycle diagram for data
 sharing.
 
-2\. Then choose one of these major funders of research overseas and have
+2. Then choose one of these major funders of research overseas and have
 a look at their data sharing policies:
 
 -   [National Science
     Foundation](http://www.nsf.gov/bfa/dias/policy/dmp.jsp) in the US,
-    and note the Data Management Plan requirement (see [Thing 15:
-    DMPs](thing-16.md))
+    and note the Data Management Plan requirement
 -   [Wellcome
     Trust](https://wellcome.ac.uk/funding/managing-grant/policy-data-management-and-sharing)
     in the UK (1 page)
 
-Now, imagine it is 2025… **consider** what you think Australian research
+**Consider:** what you think Australian research
 funders will be requiring of researchers who are seeking project
-funding. What does this mean for those working in data support areas?
+funding in the future. What does this mean for those working in data support areas?

_things/thing-17.md

@@ -20,7 +20,7 @@ We all have a role to play in building a world of data literate
 citizens.
 
 1.  Enjoy this quirky and clever 1.48min video from a cartoonist: [What
-    is data literacy](https://youtu.be/qHz_ogTH2p4)? (YouTube)
+    is data literacy](https://youtu.be/qHz_ogTH2p4)?
 2.  Choose one of the sites from the list below. As you look around the
     site, think about how you might use these ideas to ‘grow’ your, or
     other people’s, data literacy
@@ -30,10 +30,10 @@ citizens.
     (Note: most universities have similar resources for those in
     universities or research institutes)
 -   **For Federal, State or Local Govt**: [Publishing your
-    data](https://toolkit.data.gov.au/index.php?title=Publishing_your_data)
+    data](https://toolkit.data.gov.au/Publishing_your_data.html)
     in Govt data portals
 -   **For Business**: [Open data that drives
-    business](http://theodi.org/open-data-that-drives-business)
+    business](https://theodi.org/article/open-data-means-business/)
     (UK, 2015)
 -   **For teachers and school librarians**: Scroll down to [Resources
     for
@@ -60,8 +60,6 @@ perspectives of these diverse roles:
     Capability Framework in 2016 to ensure employees across the APS can
     develop a minimum level of data literacy.
     [Report](http://www.dpmc.gov.au/sites/default/files/publications/Implementation%20of%20the%20Public%20Sector%20Data%20Management%20Report.pdf "Public Sector Data Management ")
--   **Librarians**: [What is data literacy in
-    Libraryland](http://databrarians.org/2015/02/what-is-data-literacy/)?
 -   **Entrepreneurs**: [Data Literacy -- What It Is And Why None of Us
     Have
     It](https://www.forbes.com/sites/homaycotte/2014/10/28/data-literacy-what-it-is-and-why-none-of-us-have-it/ "Data literacy - what it is an why none of us have it")
@@ -97,15 +95,13 @@ Have a look at [this Environmental
 scan](https://docs.google.com/spreadsheets/d/1ZASH-NhsvXnyZNJkGzFNFp5_adn6Q-iX2N-tbv1Apbw/edit#gid=0)
 of courses offering data skills. Then [choose 1 Carpentry to explore in
 depth or browse over them
-all:]{style="font-size: 0.98em; line-height: 1.25;"}
+all:]
 
 1.  [Data Carpentry](http://www.datacarpentry.org)
 2.  [Library Carpentry](http://librarycarpentry.github.io/about/)
 3.  [Software Carpentry](http://software-carpentry.org/)
 4.  [Author
     Carpentry](https://authorcarpentry.github.io/ "Author carpentry")
 
-We will get more hands-on with Carpentry in Thing 21
-
 **Consider:** your ideas or experience about the value of the various
-Carpentry courses.
+Carpentry courses.

_things/thing-18.md

@@ -15,7 +15,7 @@ category: Let's talk data
 ## Getting started 
 ### Starting a data conversation
 
-Thing 18 offers a simple way to think about key messages and possible
+This thing offers a simple way to think about key messages and possible
 responses that can be used to quickly and succinctly pitch research data
 management to researchers. The responses can be contextualised to suit
 what is available at your organisation.
@@ -58,7 +58,7 @@ aid in the planning of data services that meet the needs of researchers.
 1.  Start by reading the [Data Curation Profiles
     overview](https://docs.lib.purdue.edu/dcp/about.html "Data curation profiles overview")
 2.  Then have a look at the description of one of the most popular Data
-    Curation Profiles which has been downloaded over 800 times: [History
+    Curation Profiles which has been downloaded over 1000 times: [History
     / Sustainable Development - Purdue
     University](http://docs.lib.purdue.edu/dcp/vol5/iss1/1/ "Purdue University - History/Sustainable development").
     Note the citation and DOI for this Profile.
@@ -97,7 +97,7 @@ connecting the data to publications, and making the data discoverable.
 
 1.  Open this [Geophysics and Seismology/Structural Geology and
     Neotectonics Data Curation
-    Profile](https://docs.lib.purdue.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1027&context=dcp "Data curation profile")
+    Profile](http://dx.doi.org/10.5703/1288284315004 "Data curation profile")
 2.  Note the data formats and file sizes in the data table in Section
     3.2 (page 4) and the tools used to generate the data in Section 9
     (pages 8-9)
@@ -112,7 +112,7 @@ was possible?
 **Option 2: Sociology / Demographics**
 
 [Section 9 of this Sociology / Demographics Data Curation
-Profile](http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1026&context=dcp)
+Profile](http://dx.doi.org/10.5703/1288284315013)
 states that:
 
 *“If this data were hosted in an external data repository, it would be a
@@ -124,4 +124,4 @@ elsewhere."*
 
 **Consider:** what options could you offer the researcher to achieve
 their high and medium priorities? If you can't offer advice, how could
-you find a potential solution?
+you find a potential solution?