Cara Menggunakan Biblioshiny dan OpenRefine

Using Biblioshiny and OpenRefine

1. Biblioshiny

Biblioshiny is a web-based interface for the Bibliometrix package in R, designed for bibliometric analysis.

Steps to Use Biblioshiny:

1. Preparation:
   • Ensure R and RStudio are installed on your computer.
   • Install the Bibliometrix package by running the following command in R:

   install.packages("bibliometrix")

   • Load the package:

     library(bibliometrix)

2. Run Biblioshiny:
   • Launch Biblioshiny with this command:

   biblioshiny()

   • A browser will open with the Biblioshiny interface.
3. Import Data:
   • Prepare your bibliographic data file (.bib, .ris, or .csv) from databases like Scopus, Web of Science, or PubMed.
   • Import the file using the "Data" menu in Biblioshiny.
4. Analyze Data:
   • Select analyses such as:
     • Keyword Analysis
     • Author Collaboration Network
     • Journal or Institution Analysis
   • Adjust parameters as needed.
5. Visualize Data:
   • Create visualizations such as:
     • Keyword co-occurrence maps
     • Publication trend graphs
     • Author collaboration diagrams
6. Export Results:
   • Export results as images (PNG) or tables (CSV).

2. OpenRefine

OpenRefine is an open-source tool for cleaning, enriching, and managing data, often used for cleaning bibliometric metadata.

Steps to Use OpenRefine:

1. Download and Install OpenRefine:
   • Download OpenRefine from openrefine.org.
   • Extract the files and run the application (e.g., openrefine.exe for Windows).
2. Import Data:
   • Prepare your data file in .csv or .tsv format.
   • Open OpenRefine and select "Create Project" to import your file.
3. Clean Data:
   • Use tools like:
     • Facets: Filter and find duplicate or anomalous values.
     • Clustering: Merge similar terms (e.g., variations in spelling).
     • Transformations: Apply logic for cleaning data (e.g., reformatting dates).
4. Enrich Data:
   • Use external APIs (e.g., CrossRef, Wikidata) to add additional information to your dataset.
5. Export Data:
   • Export cleaned data in formats such as CSV, Excel, or JSON for further analysis.

Integration of Biblioshiny and OpenRefine

1. Initial Processing in OpenRefine:
   • Use OpenRefine to clean bibliographic data (e.g., remove duplicates, standardize author names).
2. Analysis in Biblioshiny:
   • Import the cleaned data into Biblioshiny for advanced analysis and visualization.

Versi Bahasa Indonesia:

Panduan Menggunakan Biblioshiny dan OpenRefine

1. Menggunakan Biblioshiny

1. Instalasi: Pastikan Anda telah menginstal R dan RStudio di komputer Anda. Kemudian instal paket bibliometrix dengan menjalankan perintah berikut di R:

   install.packages("bibliometrix")

2. Menjalankan Biblioshiny: Setelah paket terinstal, jalankan perintah berikut untuk membuka antarmuka Biblioshiny:

   biblioshiny()

3. Upload Data: Unggah file data bibliometrik Anda (misalnya, file dari Scopus atau Web of Science dalam format CSV atau BibTeX).
4. Analisis Data: Gunakan fitur-fitur yang tersedia untuk:
   • Analisis bibliometrik (frekuensi kata kunci, tren publikasi, dll.)
   • Visualisasi data (network map, treemap, dll.)

2. Menggunakan OpenRefine

1. Instalasi: Unduh OpenRefine dari situs resmi (https://openrefine.org) dan instal di komputer Anda.
2. Membuka Proyek Baru: Jalankan OpenRefine dan buat proyek baru dengan mengunggah dataset (file CSV, Excel, dll.).
3. Pembersihan Data: Gunakan fitur-fitur berikut:
   • Deteksi dan perbaikan duplikasi data
   • Normalisasi format data (misalnya, menyamakan huruf kapital, format tanggal, dll.)
   • Penyaringan dan pengelompokan data untuk analisis lebih lanjut
4. Ekspor Data: Setelah selesai, ekspor data yang telah dibersihkan ke format yang Anda perlukan (CSV, Excel, dll.).

Catatan Penting

• Pastikan dataset yang digunakan sesuai dengan kebutuhan analisis Anda.
• Pelajari dokumentasi resmi dari masing-masing alat untuk memahami fitur-fitur tambahan yang tersedia.