Open Science in Asia

Understanding the Dynamics and Growth of Events and Orgs

About this dataset

This dataset encapsulates an innovative joint effort to construct a thriving and progressive Open Science community from the ground up. Covering both Chinese Open Science Network (COSN) Events and various Open Science Organizations across Asia, it includes valuable information about topics, reads, countries of origin, representative codes as well as development status and platform utilized. By examining this data in aggregate, we can gain deep insights into success factors on a global level that will inform our efforts to bring together scientific resources effectively. Explore these datasets today to discover more about the potential of Open Science

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How to use the dataset

How to Use this Dataset

This dataset contains information about Chinese Open Science Network (COSN) Events and various Open Science Organizations across Asia. It includes event names, topics, countries, representative codes, development statuses, platforms and full names of the organizations. It will be helpful for anyone interested in learning more about the Open Science process in Asia.

To get started with this dataset, first you should explore the data set columns: events, reads, topic countries rep_code developed platform and fullname. This can give you an insight into what is included in this dataset.

Once you have a better understanding about the contents of the dataset; You can then begin exploring different datasets for each type of data. For example if you want to find out more about COSN Events in specific country - then explore the events columns; similarly if you are looking to discover new open science organizations around your region - then look onto the ‘rea’ column which tells us how many reads an organizations gets towards its website/platform .

Once familiar with different datasets ,you can use R or python scripts as needed as per your requirement . This can enables us to go beyond simple querying and start getting interesting visualizations or complex correlations out of our data sets that wasn’t possible previously . Similarly other techniques like correlation analysis , feature engineering etc.. may be explored on the basis on what user intend to do with this data set Finally by using these tools ,one may acquire meaningful insights from their own discoveries trough datasheet exploration !

Research Ideas

Using the data about COSN Events and various Open Science Organizations across Asia, organizations can track the popularity and success of their events/programs according to number of reads as well analyzing topics discussed at each event.

Rep_code, platform, developed columns information can be used to segment users based on products they’re bought or used by them. This would help manufacturers in understanding preferences of buyers who are involved in Open Science Community activities & helps them in better targeting those buyers using right campaign message

The full name column can be useful for government or non-government regulatory bodies to take corrective action against organizations which are defying laws by working without proper authorisation

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: cosn_events.csv

Column name	Description
Events	Name of the event. (String)
Date	Date on which the event took place. (Date)
Reads	Number of reads for the event. (Integer)
Topic	Topics discussed at the event. (String)

File: os_organizations.csv

Column name	Description
country	Country of operation for the Open Science Organization. (String)
rep_code	Representative code for the Open Science Organization. (String)
developed	Development status of the Open Science Organization compared to other peer organizations. (String)
platform	Platforms utilized by the Open Science Organization in their day-to-day operations. (String)
full_name	Full name of the Open Science Organization. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Cosn Events

@kaggle.thedevastator_open_science_in_asia.cosn_events

11.01 KB
159 rows
4 columns


CREATE TABLE cosn_events (
  "events" VARCHAR,
  "date" VARCHAR,
  "reads" BIGINT,
  "topic" VARCHAR
);

Os Organizations

@kaggle.thedevastator_open_science_in_asia.os_organizations

7.04 KB
999 rows
5 columns


CREATE TABLE os_organizations (
  "country" VARCHAR,
  "rep_code" VARCHAR,
  "developed" DOUBLE,
  "platform" VARCHAR,
  "full_name" VARCHAR
);