Then I reduced the JVM heap size from 6144 back to 5120m
Also, I switched it to use OpenJDK instead of Oracle Java, as well as re-worked the Ansible infrastructure scripts to support hosts choosing which distribution they want to use
Then I reduced the JVM heap size from 6144 back to 5120m
Also, I switched it to use OpenJDK instead of Oracle Java, as well as re-worked the Ansible infrastructure scripts to support hosts choosing which distribution they want to use
<li>Then I reduced the JVM heap size from 6144 back to 5120m</li>
<li>Also, I switched it to use OpenJDK instead of Oracle Java, as well as re-worked the <ahref="https://github.com/ilri/rmg-ansible-public">Ansible infrastructure scripts</a> to support hosts choosing which distribution they want to use</li>
<li>Advise Fabio Fidanza about integrating CGSpace content in the new CGIAR corporate website</li>
<li>I think they can mostly rely on using the <code>cg.contributor.crp</code> field</li>
<li>Looking over some IITA records for Sisay
<ul>
<li>Other than trimming and collapsing consecutive whitespace, I made some other corrections</li>
<li>I need to check the correct formatting of COTE D’IVOIRE vs COTE D’IVOIRE</li>
<li>I replaced all DOIs with HTTPS</li>
<li>I checked a few DOIs and found at least one that was missing, so I Googled the title of the paper and found the correct DOI</li>
<li>Also, I found an <ahref="https://www.doi.org/factsheets/DOI_PURL.html">FAQ for DOI that says the <code>dx.doi.org</code> syntax is older</a>, so I will replace all the DOIs with <code>doi.org</code> instead</li>
<li>I found five records with “ISI Jounal” instead of “ISI Journal”</li>
<li>I found one item with IITA subject “.”</li>
<li>Need to remember to check the facets for things like this in sponsorship:</li>
<li>Deutsche Gesellschaft für Internationale Zusammenarbeit</li>
<li>Deutsche Gesellschaft fur Internationale Zusammenarbeit</li>
<li>Eight records with language “fn” instead of “fr”</li>
<li>One incorrect type (lowercase “proceedings”): Conference proceedings</li>
<li>Found some capitalized CRPs in <code>cg.contributor.crp</code></li>
<li>Found some incorrect author affiliations, ie “Institut de Recherche pour le Developpement Agricolc” should be “Institut de Recherche pour le Developpement <em>Agricole</em>“</li>
<li>Wow, and for sponsors there are the following:</li>
<li>Incorrect: Flemish Agency for Development Cooperation and Technical Assistance</li>
<li>Incorrect: Flemish Organization for Development Cooperation and Technical Assistance</li>
<li>Correct: Flemish <em>Association</em> for Development Cooperation and Technical Assistance</li>
<li>One item had region “WEST” (I corrected it to “WEST AFRICA”)</li>
<li>I export them and include the hidden metadata fields like <code>dc.date.accessioned</code> so I can filter the ones from 2018-04 and correct them in Open Refine:</li>
</ul>
<pre><code>$ dspace metadata-export -a -f /tmp/iita.csv -i 10568/68616
<li>Abenet sent a list of 46 ORCID identifiers for ILRI authors so I need to get their names using my <ahref="https://gist.github.com/alanorth/57a88379126d844563c1410bd7b8d12b">resolve-orcids.py</a> script and merge them into our controlled vocabulary</li>
<pre><code>$ for line in $(< /tmp/links.txt); do echo $line; http --print h $line; done
</code></pre>
<ul>
<li>Most of the links are good, though one is duplicate and one seems to even be incorrect in the publisher’s site so…</li>
<li>Also, there are some duplicates:
<ul>
<li><code>10568/92241</code> and <code>10568/92230</code> (same DOI)</li>
<li><code>10568/92151</code> and <code>10568/92150</code> (same ISBN)</li>
<li><code>10568/92291</code> and <code>10568/92286</code> (same citation, title, authors, year)</li>
</ul></li>
<li>Messed up abstracts:
<ul>
<li><code>10568/92309</code></li>
</ul></li>
<li>Fixed some issues in regions, countries, sponsors, ISSN, and cleaned whitespace errors from citation, abstract, author, and titles</li>
<li>Fixed all issues with CRPs</li>
<li>A few more interesting Unicode characters to look for in text fields like author, abstracts, and citations might be: <code>’</code> (0x2019), <code>·</code> (0x00b7), and <code>€</code> (0x20ac)</li>
<li>A custom text facit in OpenRefine with this GREL expression could be a good for finding invalid characters or encoding errors in authors, abstracts, etc:</li>
</ul>
<pre><code>or(
isNotNull(value.match(/.*[(|)].*/)),
isNotNull(value.match(/.*\uFFFD.*/)),
isNotNull(value.match(/.*\u00A0.*/)),
isNotNull(value.match(/.*\u200A.*/)),
isNotNull(value.match(/.*\u2019.*/)),
isNotNull(value.match(/.*\u00b7.*/)),
isNotNull(value.match(/.*\u20ac.*/))
)
</code></pre>
<ul>
<li>I found some more IITA records that Sisay imported on 2018-03-23 that have invalid CRP names, so now I kinda want to check those ones!</li>
<li>Combine the ORCID identifiers Abenet sent with our existing list and resolve their names using the <ahref="https://gist.github.com/alanorth/57a88379126d844563c1410bd7b8d12b">resolve-orcids.py</a> script:</li>
<li>I made a pull request (<ahref="https://github.com/ilri/DSpace/pull/373">#373</a>) for this that I’ll merge some time next week (I’m expecting Atmire to get back to us about DSpace 5.8 soon)</li>
<li>I spent a bit of time playing with <ahref="https://github.com/codeforkjeff/conciliator">conciliator</a> and Solr, trying to figure out how to reconcile columns in OpenRefine with data in our existing Solr cores (like CRP subjects)</li>
<li>The documentation regarding the Solr stuff is limited, and I cannot figure out what all the fields in <code>conciliator.properties</code> are supposed to be</li>
<li>But then I found <ahref="https://github.com/okfn/reconcile-csv">reconcile-csv</a>, which allows you to reconcile against values in a CSV file!</li>
<li>That, combined with splitting our multi-value fields on “||” in OpenRefine is amaaaaazing, because after reconciliation you can just join them again</li>
<li>Oh wow, you can also facet on the individual values once you’ve split them! That’s going to be amazing for proofing CRPs, subjects, etc.</li>
<li>Udana asked about the Book Chapters we had been proofing on DSpace Test in 2018-04</li>
<li>I told him that there were still some TODO items for him on that data, for example to update the <code>dc.language.iso</code> field for the Spanish items</li>
Agriculture for Nutrition and HealthBig DataClimate Change, Agriculture and Food SecurityExcellence in BreedingFishForests, Trees and AgroforestryGenebanksGrain Legumes and Dryland CerealsLivestockMaizePolicies, Institutions and MarketsRiceRoots, Tubers and BananasWater, Land and EcosystemsWheatAquatic Agricultural SystemsDryland CerealsDryland SystemsGrain LegumesIntegrated Systems for the Humid TropicsLivestock and Fish
</code></pre>
<ul>
<li>Maybe <code>xmlstarlet</code> is better:</li>
</ul>
<pre><code>$ xmlstarlet sel -t -v '//value-pairs[@value-pairs-name="crpsubject"]/pair/stored-value/text()' dspace/config/input-forms.xml
Agriculture for Nutrition and Health
Big Data
Climate Change, Agriculture and Food Security
Excellence in Breeding
Fish
Forests, Trees and Agroforestry
Genebanks
Grain Legumes and Dryland Cereals
Livestock
Maize
Policies, Institutions and Markets
Rice
Roots, Tubers and Bananas
Water, Land and Ecosystems
Wheat
Aquatic Agricultural Systems
Dryland Cereals
Dryland Systems
Grain Legumes
Integrated Systems for the Humid Tropics
Livestock and Fish
</code></pre>
<ul>
<li>Discuss Colombian BNARS harvesting the CIAT data from CGSpace</li>
<li>They are using a system called Primo and the only options for data harvesting in that system are via FTP and OAI</li>
<li>I told them to get all <ahref="https://cgspace.cgiar.org/oai/request?verb=ListRecords&metadataPrefix=oai_dc&set=com_10568_35697">CIAT records via OAI</a></li>
<li>Just a note to myself, I figured out how to get reconcile-csv to run from source rather than running the old pre-compiled JAR file:</li>
</ul>
<pre><code>$ lein run /tmp/crps.csv id
</code></pre>
<ul>
<li>I tried to reconcile against a CSV of our countries but reconcile-csv crashes</li>
<li>Looking at Sisay’s 2,640 CIFOR records on DSpace Test (<ahref="https://dspacetest.cgiar.org/handle/10568/92904"><sup>10568</sup>⁄<sub>92904</sub></a>)
<li>Send a message to the OpenRefine mailing list about the bug with reconciling multi-value cells</li>
</ul>
<h2id="2018-05-15">2018-05-15</h2>
<ul>
<li>Turns out I was doing the OpenRefine reconciliation wrong: I needed to copy the matched values to a new column!</li>
<li>Also, I learned how to do something cool with Jython expressions in OpenRefine</li>
<li>This will fetch a URL and return its HTTP response code:</li>
</ul>
<pre><code>import urllib2
import re
pattern = re.compile('.*10.1016.*')
if pattern.match(value):
get = urllib2.urlopen(value)
return get.getcode()
return "blank"
</code></pre>
<ul>
<li>I used a regex to limit it to just some of the DOIs in this case because there were thousands of URLs</li>
<li>Here the response code would be 200, 404, etc, or “blank” if there is no URL for that item</li>
<li>You could use this in a facet or in a new column</li>
<li>More information and good examples here: <ahref="https://programminghistorian.org/lessons/fetch-and-parse-data-with-openrefine">https://programminghistorian.org/lessons/fetch-and-parse-data-with-openrefine</a></li>
<li>Finish looking at the 2,640 CIFOR records on DSpace Test (<ahref="https://dspacetest.cgiar.org/handle/10568/92904"><sup>10568</sup>⁄<sub>92904</sub></a>), cleaning up authors and adding collection mappings</li>
<li>They can now be moved to CGSpace as far as I’m concerned, but I don’t know if Sisay will do it or me</li>
