Transition Events away from use of R (lmu-osc#490)

* Create basic lua filter to access yaml params for events

* Fix mapping issue to access nested fields

* Attempt to create pandoc and lua only html template

* Confirm working template

* Smol tweaks

* Remove 2 unneeded testing files

* Remove unneeded functions from Lua filter

* Remove the conditional/html relevant vals from lua filter

* Add boxes to html template

* Reduce lua filter to minimum necessary

* Rename file to reflect behavior

* Confirm loops and direct yaml access work in html

* Add in additional fields yaml fields to example

* Add links and link processing to template and lua filter

* Process links in lua filter and add correctly to html

* Add presenters, instructors, and helpers to template

* Add comment to template file

* Add contact section to template

* Create proper filter for when entries exist but are empty in instructors, presenters, helpers, etc.

* Modify links params directly

* Process location url

* Test and correct additional behavior in template

* Rename lua filter file and html template

* Relocate files to templates/

Delete old html file

* Fix file name references and remove unneeded br tags

* Remove use of R-based templates in all Event pages

* Conditional hyperlink for location

* Process people urls safely

* Include additional example content

* Remove old qmd template files

* Set example to draft: true

Author: NeuroShepherd

.gitignore

@@ -58,3 +58,5 @@ lmu-osc-custom.scss
 
 **/*.quarto_ipynb
 quick_notes.md
+
+/.luarc.json

events/events/2018-01-01-open-science-medical-science.qmd

@@ -41,24 +41,17 @@ host:
   - name: LMU Open Science Center
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2018-10-01-crashkurs-open-science.qmd

@@ -37,24 +37,17 @@ host:
   - name: LMU Open Science Center
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2018-12-05-responsibility-consequences.qmd

@@ -48,18 +48,14 @@ presenters:
   - name: Dr. Lisa McShane
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p><img height="123" width="97" class="left" src="../../images/mcshane.jpg" alt="McShaneL2"></p><p><strong>The <a href="https://www.ibe.med.uni-muenchen.de/index.html">IBE</a>, LMU Open Science Center, <a href="https://www.stratos-initiative.org/">STRATOS</a>, and the <a href="https://github.com/Bioconductor/EuroBioc2018">European Bioconductor Meeting</a> cordially invite to a guest talk:</strong></p><p><em><br></em></p><p><em>When: December 5, 2018 - 5 pm s.t.<br>Where: Schellingstr. 3, Room S005<br></em></p><h3>Abstract:</h3><p>Irreproducible biomedical research is particularly concerning because flawed findings have the potential to make their way to clinical studies involving human participants. Many factors have been suggested as contributors to irreproducible biomedical research, including poor study design, analytic instability of measurement methods, sloppy data handling, inappropriate and misleading statistical analysis methods, improper reporting or interpretation of results, and on rare occasions, outright scientific misconduct. Potential for these problems to occur is amplified when the research involves use of novel measurement technologies such as “omics assays” which generate large volumes of data requiring specialized expertise and computational approaches for proper management, analysis and interpretation [<a href="https://doi.org/10.17226/13297">https://www.nationalacademies.org/projects/IOM-HCS-10-06/publication/13297</a>]. Successful translation of omics research findings to safe and effective clinical tests requires a research team with expertise including laboratory and clinical science, bioinformatics, computational science, and statistics. Team members share responsibility for ensuring that research is performed with integrity and best practices are followed to ensure reproducible results. Although making data and computer code publicly available are valuable and important first steps toward promoting reproducible research, they are not sufficient. Through a series of case studies, the many dimensions of reproducible omics research are explored, and shared responsibilities are discussed. Maintaining a culture of reproducible research requires effort, resources, and vigilance to counter many potential threats.</p><p> </p><p><strong>Following Lisa McShane's talk</strong>, two further talks and a subsequent discussion will be held on the <a href="https://www.stratos-initiative.org/">STRATOS-Initiative</a>:</p><ul>
 <li>
@@ -72,7 +68,4 @@ presenters:
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2018-12-14-paywall-business-scholarship.qmd

@@ -50,18 +50,14 @@ presenters:
   - name: Prof. Nikolaus Plesnila
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p>We are happy to announce that a collaboration of <a href="https://leibniz-psychology.org/">ZPID</a>, LMU OSC, and LMU University Library will present the movie "<a href="https://paywallthemovie.com/">Paywall - The Business of Scholarship</a>" in Munich.</p><p>The movie is a documentary which focuses on the need for open access to research and science. It questions the rationale behind the $25.2 billion a year that flows into for-profit academic publishers, examines the 35-40% profit margin associated with the top academic publishers, and looks at the factors impeding global academic innovation.</p><p>We will live-screen the movie, and have a <strong>subsequent panel discussion</strong>, featuring the following panelists:</p><ul>
 <li>Prof. Jason Schmitt (Director and producer of the movie; Clarkson University, USA)</li>
@@ -74,7 +70,4 @@ presenters:
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2019-02-12-good-scientific-practices.qmd

@@ -37,24 +37,17 @@ host:
   - name: LMU Open Science Center
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p>The OSC offers a workshop for graduate students, PostDocs and faculty members on <a href="https://gsparmed.wixsite.com/website">"Good Scientific Practices and how to Avoid Research Misconduct" (GSP|ARM!d)</a> led by <strong>Dr. Michael Mende</strong> from the International Max Planck Research School for Translational Psychiatry (IMPRS-TP).</p><p>The workshop aims to bring participants up to date with the standard statutes of research integrity as well as local regulations at place. The course is structured around the <strong>DFG Curriculum</strong> „Good Scientific Practice“ for Courses in Science and Medicine (G. Sponholz | 10/2011), with particular emphasis on the following topics: <strong>Data</strong> storage, handling and protection,<strong> Documentation</strong>, <strong>Publication</strong> process and <strong>Authorship</strong>, <strong>Plagiarism </strong>and <strong>Conflict Resolution</strong>. During the workshop, participants will be engaged in discussions, group work, role play and case studies. All participants will receive relevant material: a tool-kit with institutional guidelines, local contact points, links to useful web resources as well as relevant publications, which they can refer to throughout their scientific careers.</p><p>For further information take a look at the <a href="https://gsparmed.wixsite.com/website">GSP|ARM!d Website</a> or contact <a href="mailto:felix.schoenbrodt@psy.lum.de">Felix Schönbrodt</a>. Sign up via <a href="https://terminplaner4.dfn.de/oscgsp">https://terminplaner4.dfn.de/oscgsp</a><a href="mailto:felix.schoenbrodt@psy.lum.de"> </a></p><div class="g-clear"></div>
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2019-02-18-privacy-open-data.qmd

@@ -39,18 +39,14 @@ host:
   - name: LMU Open Science Center
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p>The OSC offers a workshop on data privacy and anonymity for participants ranging from graduate students to professors. The workhop will be held by Felix Schönbrodt and Anton Marx.</p><p>Contents:</p><ul>
 <li>Why should we share data?</li>
@@ -64,7 +60,4 @@ host:
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2019-04-01-wissenschaftliches-arbeiten-medizin.qmd

@@ -48,24 +48,17 @@ presenters:
   - name: Prof. Dr. Ulrich Mansmann
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p>Organisiert wird die Veranstaltung von der LMU Open Science Initiatve in Medicine (OSIM).</p><p>Starten wird das Event mit einem Vortrag von Malcolm Mcleod zu Verschwendung und Replikation in der medizinischen Forschung. Am Nachmittag werden die Themen Reproduzierbarkeit, Data Sharing und Open Science besprochen und diskutiert.</p><p>Für Details betrachten Sie bitte den angehängten Flyer und das Poster.<br>Bitte leiten Sie diese Nachricht gerne an interessierte Personen weiter oder nutzen Sie das angehängte Material für Aushänge.</p><p>Die Veranstaltung ist kostenlos und offen für alle Interessenten.<br>Anmeldung (wichtig für die Planung von Catering und Teilnahmebestätigungen): <a href="https://terminplaner4.dfn.de/qRxciPo8sMUQPb7g">bit.ly/2RQtajW</a></p><p>Wir freuen uns auf Ihr Kommen!</p><p><img class="left" src="../../images/event0419.png" alt="OpenSciencePoster-1"></p><div class="g-clear"></div>
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2019-06-13-context-concerns-measures.qmd

@@ -47,18 +47,14 @@ presenters:
   - name: Dr. Lars Vilhuber
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p>We are glad to announce the following upcoming talk "<strong>Replication and Reproducibility in Social Sciences and Statistics: Context, Concerns, and Concrete Measures</strong>" by <strong>Dr. Lars Vilhuber</strong> who is Executive Director of the <a href="https://www.ilr.cornell.edu/labor-dynamics-institute">Labor Dynamics Institute at Cornell University</a> &amp; <a href="https://www.aeaweb.org/">AEA</a> Data Editor (<a href="https://www.vilhuber.com/lars/">https://www.vilhuber.com/lars</a>)</p><p><strong>Abstract:</strong><br>Data and the statistical program codes to analyze them are an elementary part of any empirical analysis in all fields of science. Nevertheless, especially in the social sciences this “data work” is most often not directly subject to the scientific quality control, namely the review process of scholarly articles before publication. (How) Has this contributed to the so-called "replication crisis", i.e. the fact that a lot of scientific findings cannot be reproduced? But what is replication and reproducibility? Is it really a crisis and if yes, how bad is it? How can the situation be improved and who can do it? These and many other questions will be addressed by Lars Vilhuber (<a href="https://www.vilhuber.com/lars/">https://www.vilhuber.com/lars</a>) in his (English) presentation, which is organized by the Collaborative Research Center Transregio “Rationality and Competition” (<a href="https://rationality-and-competition.de/">https://rationality-and-competition.de/</a>) and the LMU-ifo Economics &amp; Business Data Center (<a href="https://www.ifo.de/en/reseach/lmu-ifo-economics-business-data-center">https://www.ifo.de/en/reseach/lmu-ifo-economics-business-data-center</a>) in collaboration with the LMU Open Science Center (<a href="https://www.osc.uni-muenchen.de/index.html">https://www.osc.uni-muenchen.de/</a>) and the LMU Center for Advanced Studies research focus “Evidence Based Practice” (<a href="https://www.cas.lmu.de/en/programs/cas-research-focuses/index.html">https://www.en.cas.uni-muenchen.de/research_focus/evidence_praxis/index.html</a>).</p><p><strong>Speaker</strong>:<br>Dr. Lars Vilhuber is Executive Director of the <a href="https://www.ilr.cornell.edu/labor-dynamics-institute">Labor Dynamics Institute at Cornell<br>University</a> and the <a href="https://www.aeaweb.org/">American Economic Association</a>’s Data Editor. In addition to labor economics, he has done extensive research on data publication/access despite privacy and confidentiality issues.</p><p><strong>Material:</strong></p><ul>
 <li>Presentation: <a href="https://doi.org/10.5281/zenodo.3245369">https://doi.org/10.5281/zenodo.3245369</a>
@@ -72,7 +68,4 @@ presenters:
 
 
 
-<!-- MANDAORY SECTION START  -->
-<!-- _event_description.qmd template should always be at bottom -->
-{{< include templates/_instructors_helpers_contact.qmd >}}
-<!-- MANDAORY SECTION END  -->
+ 

events/events/2019-11-04-transparency-translational-impact.qmd

@@ -39,24 +39,17 @@ presenters:
   - name: Prof. Dr. John P.A. Ioannidis
     url: ''
 
+template: templates/event-template.html
+filters:
+    - templates/process-event-yaml.lua
 ---
-<!-- MANDAORY SECTION START  -->
-
-{{< include templates/_setup.qmd >}}
-{{< include templates/_info_boxes.qmd >}}
-{{< include templates/_register_button.qmd >}}
-<!-- MANDAORY SECTION END  -->
 
 <br>
 
-<!-- DETAILED EVENT DESCRIPTION HERE OR USE THE TEMPLATE BELOW TO INCLUDE THE STANDARD DESCRIPTION SECTION -->
-<!-- {{< include templates/_event_description.qmd >}} -->
+ 
 
 <p>We are glad to announce the following upcoming talk "Reproducible research: transparency and translational impact" by Prof. John P. A. Ioannidis, Professor of Medicine, of Health Research and Policy, of Biomedical Data Science, and of Statistics, Stanford University; Co-director, Meta-Research Innovation Center at Stanford (METRICS)</p><p><br>Abstract: Theoretical insights, simulations, and empirical data converge that in the current research environment a substantial segment of published research yields results that are not credible. Moreover, among the results that are credible a large share cannot be translated meaningfully and thus end up being not useful. The lecture will assess the scope of this evidence and will focus on solutions that have been proposed to make research more reproducible and with greater translational impact. Many of these solutions center around optimizing transparency. Transparency can clearly help reproducibility, but this alone may not suffice to make research outcomes also more useful. Different solutions will be discussed with emphasis on biomedical and social sciences, although the challenges cover all scientific fields and comparative data will be presented across different fields.</p><p>Speaker:<br>Prof. John P. A. Ioannidis, Professor of Medicine, of Health Research and Policy, of Biomedical Data Science, and of Statistics, Stanford University; Co-director, Meta-Research Innovation Center at Stanford (METRICS)</p><div class="g-clear"></div>
 
 
 
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+