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RIN Dataverse
Share, archive, and preserve your research data to improve quality of research
Repositori Ilmiah Nasional (RIN) merupakan sarana untuk berbagi, melestarikan, mengutip, mengeksplorasi, dan menganalisis data penelitian. Ini memudahkan membuat data tersedia bagi orang lain, dan memungkinkan Anda untuk mereplikasi pekerjaan orang lain dengan lebih mudah. Peneliti, penulis data, penerbit, distributor data, dan institusi afiliasi semuanya menerima kredit akademis dan visibilitas web. Peneliti, Instansi, dan Pemberi Dana memiliki kendali penuh terhadap data penelitian.
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62,111 to 62,120 of 62,134 Results
Buku Dataverse(LIPI)
Buku Dataverse logo
Feb 8, 2018Karya Ilmiah Dataverse
Publikasi ilmiah yang diterbitkan dalam bentuk Buku
Karya Ilmiah Dataverse(LIPI)
Feb 8, 2018
Laporan Penelitian Dataverse(LIPI)
Laporan Penelitian Dataverse logo
Feb 8, 2018
Laporan Penelitian yang telah dihasilkan oleh Peneliti LIPI sejak tahun 1980-an hingga sekarang
Riset Kompetitif LIPI Dataverse(LIPI)
Riset Kompetitif LIPI Dataverse logo
Feb 1, 2018
Laporan-Akhir_Jan-Des_2017.pdf
Jan 15, 2018 - Desain sistem repositori big data bidang meteorologi, kelautan dan kebumian
Adobe PDF - 7.2 MB - MD5: ff85846800471ab4603096cc06d028e8
Respondenesrr.mp3
Jan 9, 2018 - Analysis of Librarians in the Research Data Services for Research and Development
MP3 Audio - 3.3 MB - MD5: 201ba7710e4d35f1347fb9739d19d3d6
Respondeney.mp3
Jan 9, 2018 - Analysis of Librarians in the Research Data Services for Research and Development
MP3 Audio - 2.0 MB - MD5: 9c13a2c7550d74f32703e65005314946
Respondenmj.mp3
Jan 9, 2018 - Analysis of Librarians in the Research Data Services for Research and Development
MP3 Audio - 2.5 MB - MD5: 37ce275c66380db0af006f00eb2cbcb1
Respondenras.mp3
Jan 9, 2018 - Analysis of Librarians in the Research Data Services for Research and Development
MP3 Audio - 2.7 MB - MD5: fd49706e7b14477be6238dc648727166
Respondenrl.mp3
Jan 9, 2018 - Analysis of Librarians in the Research Data Services for Research and Development
MP3 Audio - 3.9 MB - MD5: 5bf475c6777cccc40246812ec8b3a74b
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