plans

resources/Research Data and Open Science/Learning Unit 1/LU1-Open Science-plan.md

@@ -11,55 +11,23 @@ tags:
   - Template
 ---
 
-# Open Science Lesson plan 
+# What is Open Science?
 
-## Introduction to Open Science
-
-- The aim of this learning unit on Open Science is to provide participants with an introduction to the concepts, practices and values lying behind the umbrella term 'Open Science'. 
-	- Definitions
-	- Is OS new?
-	- The pandemic urgency
-	- What's the problem? 
-	- The need for Open Science (and for a system that rewards ppl who do OS)
-### Location
-- online, link is provided with registration 
-
-### Total duration
-- this unit lasts 1 hour
-### Number of attendees
-- 20-40
-### Learning objectives
-This unit will provide answers to the following questions:
-	- What is open science? (main concepts, principles, key actors)
-	- What are the key benefits and challenges of open science?
-	- What are the implications of reforming the way research is evaluated/assessed?
-1. Riuscire a spiegare gli aspetti fondamentali dei principi accademici, economici e sociali nonché dei concetti che supportano la Scienza Aperta nonché il perché questo sia rilevante per ogni singolo individuo a livello di impatto generale
-2. Sviluppare una comprensione delle numerose sfaccettature della Scienza Aperta e alcuni degli strumenti e delle pratiche interessate.
-3. Conoscere lo stato dell’arte della Scienza Aperta e le diverse prospettive che la compongono.
+<p align="justify">The aim of this lesson on Open Science is to provide participants with an introduction to the concepts, practices and values lying behind the term 'Open Science'. </p>
 
-|  Duration   |  Topic                   |  Key points/Teaching Method/Questions                                    |  Activities                                                                                                                                                    |  Resources                   |
-|:------------|:-------------------------|:-------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------|
-|  10 mins    |  Welcome / Introduction  |  - housekeeping  - introduce trainer and trainees - learning objectives  |  have your say:&nbsp;<div>- what do you do in life?&nbsp;</div><div>- have you ever heard of OS?</div><div>- what are your expectations from this course</div> | Mentimeter poll              |
-|  10 mins    |  The hook                |  - focus attention - provide framework                                   |  brainstorm expectations                                                                                                                                       |  e.g. post-it notes          |
-|  30 mins    |  Training                |  information + examples                                                  |  check for understanding                                                                                                                                       |  e.g. pptx + handouts        |
-|  10 mins    |  Guided practice         |  trainer acts as facilitator                                             |  exercise or activity?                                                                                                                                         |  Mentimeter?                 |
-|   5 mins    |  Summary                 |  key takeaways                                                           |  reinforcement assignment                                                                                                                                      |  e.g. cards                  |  
+**Learning objectives**
+<p align="justify">This lesson will provide answers to the following questions:</p>
+- What is Open science? (main concepts, principles, key actors)
+- What are the key benefits and challenges of open science
+- What are the implications of reforming the way research is evaluated?
 
-Note: If the training is relying heavily on presentations then another option for the plan layout is to provided in a slide by slide using slide thumbnails in the topic column. In this case each row in the table should refer to a separate slide in the presentation.
-
-
-### Assessment
-- we will use Mentimeter for quizzes during the course
-- assessment will be formative and summative
-- results will be shown in real time
+## Introduction to Open Science
+### Definitions of Open Science
+### Is Open Science new? 
+### What's the problem, doctor? 
 
-### Certificate or Badge
-- no certificate 
+## Open Science and Research assessment 
+### How did we get here? 
+### Things are changing: recent policy evolutions
 
-### Reflection
-- how did it go
-- highlights: what went great
-- improvement points: what went wrong
 
-### Comments
-- any additional comments from external parties acting as co-creators

resources/Research Data and Open Science/Learning Unit 2/LU2-ResearchData-plan.md

@@ -11,61 +11,28 @@ tags:
   - Template
 ---
 
-# Research Data Lesson plan 
-
-## Research Data, why should we care?
-- The aim of this unit is to show participants how research data management is a way to shape integrity and reproducibility of scientific research. A number of concepts are highlighted: such as the research lifecycle, open data and FAIR data.
-	- (SSH) Research data and Research Data Management definition 
-	- Research Data lifecycle
-	- Values: integrity and reproducibility
-	- Open Data / FAIR Data
-	- Obligations from funding bodies / EC policy
-	- Open Access
-	- Examples of open data / public bodies
-
-### Location
-- is it going to be online or physical
-- if physical any special room type should be noted (e.g. classroom, IT lab, ...)
-
-### Total duration
-
-### Number of attendees
-- important to know the max group size
-- can be a number range (e.g. 20-30)
-
-### Learning objectives
-After this unit:
-- You will be able to indicate what information is considered research data;
-- You will be able to explain that the meaning of this research data varies per target group and per phase of the research lifecycle;
-- You will understand how open science, data management and FAIR data shape the integrity and reproducibility of scientific research;
-- You will have a global overview of the various types of data supporters;
-- You will have a broad overview of  a number of information sources that can further help you to get up-to-date in data management support.
-<font color="#92d050">- learning objectives should be devised using the verbs from the Bloom's Taxonomy</font>
-<font color="#92d050">- learning objectives should be SMART</font>
-
-### Plan
-| Duration | Topic                  | Key points/Teaching Method/Questions                                   | Activities               | Resources                  |
-|----------|------------------------|------------------------------------------------------------------------|--------------------------|----------------------------|
-| X mins   | Welcome / Introduction | - housekeeping  - introduce trainer and trainees - learning objectives | ice breaker              | e.g. name tags, flip chart |
-| X mins   | The hook               | - focus attention - provide framework                                  | brainstorm expectations  | e.g. post-it notes         |
-| X mins   | Training               | information + examples                                                 | check for understanding  | e.g. pptx + handouts       |
-| X mins   | Guided practice        | trainer acts as facilitator                                            | exercise or activity     | e.g. posters and markers   |
-| X mins   | Summary                | key takeaways                                                          | reinforcement assignment | e.g. cards                 |
-
-Note: If the <font color="#92d050">training is relying heavily on presentations then another option for the plan layout is to provided in a slide by slide using slide thumbnails in the topic column. In this case each row in the table should refer to a separate slide in the presentation.</font>
-
-
-### Assessment
-- Mentimeter and online quizzes
-- Formative and summative
-- results shown during the course in real time
-### Certificate or Badge
-- no certificate or badge is issued 
-
-### Reflection
-- how did it go
-- highlights: what went great
-- improvement points: what went wrong
-
-### Comments
-- any additional comments from external parties acting as co-creators
+# What is Research Data ? 
+**...and why we should care! ** 
+
+<p align="justify">The aim of this unit is to introduce participants to the concepts of research data management (RDM) and FAIR data, showing how they can support integrity and reproducibility in scientific research. The lessons introduces concepts such as research and data lifecycle, open data, FAIR principles for research data, open access. </p>
+
+**Learning objectives**
+This lesson will answer the following questions: 
+- What information is considered research data? (types of data, ways to look at data)
+- What are the risks of bad RDM? What are the perks of RDM?
+- In what ways are Open Science, RDM and FAIR data enablers of integrity and reproducibility in scientific research?
+- What is a data steward?
+- How to use a repository? 
+
+## Research Data and RDM
+### Core values
+### Data jargon 
+### Data stewards
+
+## Open Science and Open Access in Practice
+### Eu-funded projects
+### Open Access, how?
+#### Choosing a repository and licensing your work
+#### Metadata and persistent identifiers
+### Get started with Zenodo
+### Here to help: Data Management tools

resources/Research Data and Open Science/Learning Unit 2/Teacher/LU2 en plus-Get-started-OS -RDM-content.md

@@ -0,0 +1,28 @@
+---
+title: LU3-GetStarted-content
+author:
+  - Lottie Provost
+tags:
+  - Data
+  - Repository
+  - FAIR
+  - RDM
+---
+
+# Get started on your OS RDM 
+
+[ List of activities]
+
+#### **Research communities (international and national)**
+
+Individual research disciplines may already have put together materials and have advice on how to implement Open Science in their discipline. For example [FAIRsharing](https://fairsharing.org/) is a educational and information resource on data and metadata standards [9].  The [Research Data Alliance](https://rd-alliance.org/) have a variety of different [interest and working groups](https://www.rd-alliance.org/groups) in data sharing in specific disciplines. Scientific Societies and Publishers can also provide advice [10] [11].
+
+#### **Open Science related communities**
+
+There are a number of communities that are focussed on Open Science activities. [ReproducibiliTea](https://reproducibilitea.org/) is a grass-roots journal club initiative that is based in over 100 institutions and is a forum to discuss reproducibility, closely allied to Open Science [12]. The [FAIRdata forum](https://fairdataforum.org/) allows you to browse materials and raise questions that are related to FAIR [13]. Correspondingly the [PID forum](https://pidforum.org/) allows you to ask questions on PIDs in general [14]. A list of Open Science communities is provided in the next module (Open Tools).
+Adapted from [OpenSciency OpenData] (https://github.com/opensciency/OpenData/blob/main/lessons/lesson5.md)
+
+
+
+
+