Giter Site home page Giter Site logo

fedenanni / turing-publications Goto Github PK

View Code? Open in Web Editor NEW

This project forked from alan-turing-institute/turing-publications

0.0 0.0 0.0 859 KB

Analysing Turing publications and outputs from publishers and other data sources

License: MIT License

Python 3.12% Jupyter Notebook 96.88%

turing-publications's Introduction

DataCite Publication Scraper for The Alan Turing Institute

Overview

This project aims to download and analyze publications that cite affiliation with "The Alan Turing Institute" from DataCite's API and other resources. Note that Zenodo and Arxiv both use DataCite as their DOI providers.

The project is implemented in Python and uses Poetry for dependency management.

Table of Contents

  1. Overview
  2. Prerequisites
  3. Installation
  4. Usage
  5. Contributing
  6. License
  7. Current status

Prerequisites

  • Python 3.x
  • Poetry (for dependency management)

Installation

  1. Clone the Repository

    git clone https://github.com/thealanturinginstitute/turing_publications.git
  2. Navigate to Project Directory

    cd turing_publications
  3. Install Poetry If you haven't installed Poetry yet, you can install it by following the instructions here.

  4. Install Dependencies

    poetry install

Usage

  1. Activate the Poetry Environment

    poetry shell
  2. Run the Script

    Download data from DataCite:

    python src/datacite_api.py

    Parse downloaded data into a csv file:

    python src/datacite2csv.py

Contributing

If you would like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.

License

MIT License. See LICENSE for details.


Current status

Downloading data from DataCite works by looking for "Alan Turing Institute" within the text of each record (different systems put affiliations into different places). This seems to download records largely from Zenodo.

Below I'm trying to collect some examples of outputs created by The Alan Turing Institute that are not included, for reference and debugging. This is biased and incomplete:

turing-publications's People

Contributors

evelinag avatar fedenanni avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.