Melola Discovery

← Melola Discovery

Jurnal SINTA 2

LINKEDLAB: A DATA MANAGEMENT PLATFORM FOR RESEARCH COMMUNITIES USING LINKED DATA APPROACH

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 5 No. 1 (2012) · pp. 9–15

DOI
10.21609/jiki.v5i1.181
ISSN
2502-9274, 2088-7051
Published
2012-07-28
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Data management has a key role on how we access, organize, and integrate data. Research community is one of the domain on which data is disseminated, e.g., projects, publications, and members.There is no well-established standard for doing so, and therefore the value of the data decreases, e.g. in terms of accessibility, discoverability, and reusability. LinkedLab proposes a platform to manage data for research communites using Linked Data technique. The use of Linked Data affords a more effective way to access, organize, and integrate the data. Manajemen data memilki peranan kunci dalam bagaimana kita mengakses, mengatur, dan mengintegrasikan data. Komunitas riset adalah salah satu domain dimana data disebarkan, contohnyadistribusi data dalam proyek, publikasi dan anggota. Tidak ada standar yang mengatur distribusi data selama ini.Oleh karena itu,value dari data cenderung menurun, contohnya dalam konteksaccessibility, discoverability, dan usability. LinkedLab merupakan sebuah usulanplatform untuk mengelola data untuk komunitas riset dengan menggunakan teknik Linked Data. Kegunaan Linked Data adalah sebuah cara yang efektif untuk mengakses, mengatur, dan mengitegrasikan data.

Keywords

Collaboration network of the authors

12 authors · 32 co-authorship links · 5 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Indonesia
  • Mercu Buana University
  • University of Reading
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Aniati Murni ArymurthyUniversity of Indonesia2
Ida NurhaidaMercu Buana University2
Remmy A. M. ZenMercu Buana University2
Hong WeiUniversity of Reading2
Douglas Raevan FaisalUniversity of Indonesia1
Muhammad Ilham Al GhifariUniversity of Indonesia1
Muhammad Zuhdi ZamrudUniversity of Indonesia1
Marcellino Chris O'VaraUniversity of Indonesia1
Berty Chrismartin Lumban TobingAffiliation unknown1
On LeeAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">LINKEDLAB: A DATA MANAGEMENT PLATFORM FOR RESEARCH COMMUNITIES USING LINKED DATA APPROACH</dc:title>
	<dc:creator>Darari, Fariz</dc:creator>
	<dc:creator>Manurung, Ruli</dc:creator>
	<dc:subject xml:lang="en-US">data management</dc:subject>
	<dc:subject xml:lang="en-US">komunitas penelitian</dc:subject>
	<dc:subject xml:lang="en-US">linked data</dc:subject>
	<dc:subject xml:lang="en-US">manajemen data</dc:subject>
	<dc:subject xml:lang="en-US">research community</dc:subject>
	<dc:subject xml:lang="en-US">semantic web</dc:subject>
	<dc:description xml:lang="en-US">Data management has a key role on how we access, organize, and integrate data. Research community is one of the domain on which data is disseminated, e.g., projects, publications, and members.There is no well-established standard for doing so, and therefore the value of the data decreases, e.g. in terms of accessibility, discoverability, and reusability. LinkedLab proposes a platform to manage data for research communites using Linked Data technique. The use of Linked Data affords a more effective way to access, organize, and integrate the data.

Manajemen data memilki peranan kunci dalam bagaimana kita mengakses, mengatur, dan mengintegrasikan data. Komunitas riset adalah salah satu domain dimana data disebarkan, contohnyadistribusi data dalam proyek, publikasi dan anggota. Tidak ada standar yang mengatur distribusi data selama ini.Oleh karena itu,value dari data cenderung menurun, contohnya dalam konteksaccessibility, discoverability, dan usability. LinkedLab merupakan sebuah usulanplatform untuk mengelola data untuk komunitas riset dengan menggunakan teknik Linked Data. Kegunaan Linked Data adalah sebuah cara yang efektif untuk mengakses, mengatur, dan mengitegrasikan data.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2012-07-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/181</dc:identifier>
	<dc:identifier>10.21609/jiki.v5i1.181</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 5 No. 1 (2012): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 9-15</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/181/282</dc:relation>
</oai_dc:dc>