---
# System prepended metadata

title: How far did FAIR data in geoscience went?
tags: [' openscience', Templates, ' Talk']

---

---
title: How far did FAIR data in geoscience went? 
author: Dasapta Erwin Irawan ([ORCID](https://orcid.org/0000-0002-1526-0863)), Jon Tennant, Olivier Pourret
tags: Templates, Talk, openscience
description: View the slide with "Slide Mode".
---

### How far did FAIR data in geoscience go? :bulb: 

Dasapta Erwin Irawan (Institut Teknologi Bandung)
[ORCID](https://orcid.org/0000-0002-1526-0863)

Jon Tennant (IGDORE) [ORCID](https://orcid.org/0000-0001-7794-0218)

Olivier Pourret (UniLasalle Beauvais) [ORCID](https://orcid.org/0000-0001-6181-6079)

---

![https://upload.wikimedia.org/wikipedia/commons/thumb/6/6d/Data_types_-_en.svg/738px-Data_types_-_en.svg.png](https://i.imgur.com/5IeYQoM.png)

[Wikimedia Commons CC-0](https://upload.wikimedia.org/wikipedia/commons/thumb/6/6d/Data_types_-_en.svg/738px-Data_types_-_en.svg.png)

---

# Some introductions

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## About the slides :bulb: 

- We used [HackMD](hackmd.io) in slide mode with a template here: https://hackmd.io/p/template-Talk-slide,
- Make sure you're in `Slide Mode` when reading this,
- The Markdown, PDF version, as well as the dataset will be available on Github under [CC-BY](https://creativecommons.org/licenses/by/4.0/) license. You may freely download and reuse the material. Please give us time to organize them neatly. 

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# How we did it

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## The dataset, search strategy, and filter

- Database: [LENS](lens.org) why? free, accessible, downloadble data, with many functional and customizeable visualizations
- Date harvested: 7th-9th April 2020
- Filter 1: `Publication Type` > `Datasets`
- Results: 1,840,538 Dataset
- Filter 2: `Subject Matter` > `Field of study`

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## The dataset, search strategy, and filter (2)

- Filter 2: `Subject Matter` > `Field of study`
- We selected geosciences/earth sciences-related field of studies:
    - geography
    - geology and geological survey  
    - archaeology
    - hydrology and hidrography survey
    - remote sensing 
    - meteorology  

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## From 1st filter we've got `1.840.538 datasets` 

1. Psychology 35119
2. Medicine 22656 
3. Geography 14575
4. Biology 9382
5. Computer science 8133
6. Clinical psychology 8027
7. Environmental science 7497
8. Business 7194
9. Social psychology 6571
10. Chemistry 6408

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## From 2nd filter we've got `24.408 datasets` 

- From 1960 to 2020.
- Consists of:
    1. geography 14575
    2. geology 6167 and geological survey 1152
    3. archaeology 5243
    4. hydrology 1847 and hydrography survey 1127
    5. remote sensing 1531
    6. meteorology 884 
    
---
Here are the results
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# The sum of documents

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## Top 10 servers/respositories:

![](https://i.imgur.com/0WEHRiu.png)

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## Top 10 dataset producers by countries:

![](https://i.imgur.com/dKizpAP.png)

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## Top 10 dataset producers by institution:

![](https://i.imgur.com/J1FZqxq.png)

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## Top 10 dataset producers by funders:

![](https://i.imgur.com/lMKUyKP.png)

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## Top 10 dataset producers by publishers:

![](https://i.imgur.com/ncxbqxg.png)

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## Sum of docs by field of study by institution

![](https://i.imgur.com/6udRktk.png)

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## Sum of docs by year by funders

![](https://i.imgur.com/7Gt1beV.png)

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# The milestones

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## Sum of docs by year

![](https://i.imgur.com/ERc96BW.png)

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## Sum of docs by year by OA status

![](https://i.imgur.com/4hpnYLz.png)

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# OA proportions

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## OA proportion by funders

![](https://i.imgur.com/kTazWBe.png)

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## OA proportion by countries 

![](https://i.imgur.com/QeRakn6.png)

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## OA proportion by institutions

![](https://i.imgur.com/fZT6tWf.png)

---


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# The interactions clouds

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## Word cloud by fields of study

![](https://i.imgur.com/sELV2LL.png)

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## Interactions at author level

`to be added, using [Ms Academic](academic.microsoft.com) data and [Vosviewer](vosviewer.com) via API`

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## Interactions at institutions level

`to be added, using [Ms Academic](academic.microsoft.com) data and [Vosviewer](vosviewer.com) via API`



