Data Pattern for Allocating User Experience Meta-Data to User Experience Research Data

2009 ◽  
pp. 675-684
Author(s):  
Li Li ◽  
Hong Ji ◽  
Xuejiao Chen ◽  
Xiaowei Yuan
Keyword(s):  
User Experience ◽  
Research Data ◽  
Meta Data

Petrological microscopy data workflow – an example from Cap de Creus, NE Spain

2021 ◽  
Author(s):  
Richard Wessels ◽  
Thijmen Kok ◽  
Hans van Melick ◽  
Martyn Drury
Keyword(s):  
High Resolution ◽  
Shear Zones ◽  
Research Data ◽  
Image Correlation ◽  
Geochemical Data ◽  
Rock Composition ◽  
Meta Data ◽  
Sample Number ◽  
Thin Sections ◽  
The Impact

<p>Publishing research data in a Findable, Accessible, Interoperable, and Reusable (FAIR) manner is increasingly valued and nowadays often required by publishers and funders. Because experimental research data provide the backbone for scientific publications, it is important to publish this data as FAIRly as possible to enable reuse and citation of the data, thereby increasing the impact of research.</p><p>The structural geology group at Utrecht University is collaborating with the EarthCube-funded StraboSpot initiative to develop (meta)data schemas, templates and workflows, to support researchers in collecting and publishing petrological and microstructural data. This data will be made available in a FAIR manner through the EPOS (European Plate Observing System) data publication chain <span xml:lang="EN-GB"><span>(https://epos-msl.uu.nl/</span></span><span xml:lang="EN-GB"><span>)</span></span><span xml:lang="EN-GB"><span>.</span></span></p><p>The data workflow under development currently includes: a) collecting structural field (meta)data compliant with the StraboSpot protocols, b) creating thin sections oriented in three dimensions by applying a notch system (Tikoff et al., 2019), c) scanning and digitizing thin sections using a high-resolution scanner, d) automated mineralogy through EDS on a SEM, and e) high-resolution geochemistry using a microprobe. The purpose of this workflow is to be able to track geochemical and structural measurements and observations throughout the analytical process.</p><p>This workflow is applied to samples from the Cap de Creus region in northeast Spain. Located in the axial zone of the Pyrenees, the pre-Cambrian metasediments underwent HT-LP greenschist- to amphibolite-facies metamorphism, are intruded by pegmatitic bodies, and transected by greenschist-facies shear zones. Cap de Creus is a natural laboratory for studying the deformation history of the Pyrenees, and samples from the region are ideal to test and refine the data workflow. In particular, the geochemical data collected under this workflow is used as input for modelling the bulk rock composition using Perple_X.    </p><p>In the near future the workflow will be complimented by adding unique identifiers to the collected samples using IGSN (International Geo Sample Number), and by incorporating a StraboSpot-developed application for microscopy-based image correlation. This workflow will be refined and included in the broader correlative microscopy workflow that will be applied in the upcoming EXCITE project, an H2020-funded European collaboration of electron and x-ray microscopy facilities and researchers aimed at structural and chemical imaging of earth materials. </p>

Data, Statistics, and Controversy: Making Science Research Data Intelligible

2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Nell Sedransk ◽  
Linda J. Young ◽  
Cliff Spiegelman
Keyword(s):  
Data Base ◽  
Science Research ◽  
Scientific Data ◽  
Research Data ◽  
Sufficient Information ◽  
Meta Data ◽  
Public Data ◽  
Scientific Results ◽  
Public Datasets ◽  
The Impact

Making published, scientific research data publicly available can benefit scientists and policy makers only if there is sufficient information for these data to be intelligible. Thus the necessary meta-data go beyond the scientific, technological detail and extend to the statistical approach and methodologies applied to these data. The statistical principles that give integrity to researchers’ analyses and interpretations of their data require documentation. This is true when the intent is to verify or validate the published research findings; it is equally true when the intent is to utilize the scientific data in conjunction with other data or new experimental data to explore complex questions; and it is profoundly important when the scientific results and interpretations are taken outside the world of science to establish a basis for policy, for legal precedent or for decision-making. When research draws on already public data bases, e.g., a large federal statistical data base or a large scientific data base, selection of data for analysis, whether by selection (subsampling) or by aggregating, is specific to that research so that this (statistical) methodology is a crucial part of the meta-data. Examples illustrate the role of statistical meta-data in the use and reuse of these public datasets and the impact on public policy and precedent.

scholarly journals FAIR and Open Research Metadata as Leverage for Digital Libraries: The Flemish Case

2021 ◽  
Author(s):  
Sadia Vancauwenbergh
Keyword(s):  
Digital Libraries ◽  
Common Good ◽  
Open Science ◽  
Research Data ◽  
Digital Repository ◽  
Meta Data ◽  
Content Creation ◽  
Open Research ◽  
Content Consumption ◽  
Digital Objects

Since the advent of the digital age, academic libraries have been transforming from traditional libraries to digital libraries. While digitisation of published materials has been taking place in most libraries, research data is not yet a common good. However, in an era where the Open Science movement affectuates the modus operandi of the entire research ecosystem, it is paramount for digital libraries to include information on other digital objects such as research data. In fact, FAIR and Open research (meta)data can truly act as a leverage for digital libraries and broaden the scope of the library from a place for content consumption to a place for content creation. In order to take on this role, digital libraries must cooperate with ICT and the research community to ensure that the infrastructure is in place to store research (meta)data and that the librarians have the digital skill set for handling FAIR and Open research (meta)data. Throughout the chapter, we will elaborate on the essentials for creating a digital repository, with emphasis on the underlying metadata scheme using the Flemish application profile for research data as example. In addition, we will highlight the essential roles for operating digital libraries containing research data.

scholarly journals PEGON-GLIPH GAME PENGENALAN DAN PEMBELAJARAN ARAB PEGON BERBASIS ANDROID

KOMPUTEK ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Lukman Hakim Wijaya ◽  
Ismail Abdurrazzaq Zulkarnain ◽  
Khoiru Nurfitri
Keyword(s):  
User Experience ◽  
Research Data ◽  
Educational Game ◽  
User Performance ◽  
Test Results ◽  
Benchmark Test ◽  
Game Features ◽  
Android System ◽  
Experience Questionnaire

This study aims to design an Android-based game as a medium for the introduction and learning of Arabic pegon and to evaluate user performance of the Arabic pegon educational game using the User Experience Questionnaire (UEQ). The research stages consisted of stages, 1) research data; 2) design; 3) implementation; 4) examiners; 5) report creation. Then the design of this product is in the form of a Pegon-gliph game which is run on the Android system by having four main features, namely material features, training features, game features, and motivation features. And UEQ benchmark test results get good scores in the novelty category, while in other categories such as attractiveness, visibility, efficiency, dependability, and stimulation, the results are very good. So that the results of the performance of the Pegon-gliph educational game users show a positive user impression.

scholarly journals Penerapan Reproducible Research pada RStudio dengan Bahasa R dan Paket Knitr

2019 ◽  
Vol 5 (1) ◽  
pp. 1-5
Author(s):  
Weksi Budiaji
Keyword(s):  
Research Data ◽  
Reproducible Research ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Meta Data ◽  
Cross Reference

Reproducible Research (RR) atau penelitian yang hasilnya dapat diulang sangat penting dalam sebuah penelitian karena dengan demikian peneliti lain akan dapat menjalankan ulang atau mengembangkan hasil penelitian sebelumnya dengan data dan kode yang telah tersedia. RStudio sebagai integrated development environment (IDE) software R dan paket Knitr menawarkan kemudahan untuk RR karena data dan kode dapat tersedia dengan mudah. Langkah pembuatan RR adalah pembuatan file .rmd, penyesuaian meta data, penulisan teks dan kode (chunk), dan rendering. Penerapan teks-kode, teks-tabel, dan teks-gambar pada sebuah contoh kasus artikel dengan RStudio, software R dan paket Knitr memberikan keuntungan yaitu penyesuaian hasil dan pengecekan yang lebih menghemat waktu jika terjadi perubahan data, cross reference yang mudah pada tabel dan gambar, dan kemudahan peneliti lain memanfaatkan data dan kode yang telah tersedia. Pengadopsian reproducible research (data dan kode tersedia) menjadi penting bagi seorang peneliti agar kontribusi terhadap keilmuan lebih efektif.

scholarly journals REKAM JEJAK DAN POTENSI PENELITIAN DI BADAN USAHA MILIK DESA: STUDI BIBLIOMETRIK PUBLIKASI TAHUN 2015-2020

2021 ◽  
Vol 19 (2) ◽  
pp. 63
Author(s):  
Andre Kusuma ◽  
Hendrawan Santosa Putra ◽  
Sudarno Sudarno
Keyword(s):  
Bibliometric Analysis ◽  
Research Method ◽  
Research Data ◽  
Research Trends ◽  
Research Articles ◽  
Research Needs ◽  
Research Topics ◽  
Meta Data ◽  
Effective Governance ◽  
Starting Point

ABSTRACTThe development of BUMDes in Indonesia occurred after the issuance of Law No. 4 of 2015. This development is not only judged by the units formed but the number of studies as well. The development of BUMDes research has occurred significantly, this brings new needs so that these developments can be communicated. Bibliometrics are used to communicate the development of a discipline for further research needs. This study aims to map the development of research related to BUMDes from 2015-2020. The summary of this research is expected to be the starting point for further research in BUMDes studies. The research method used is quasi qualitative with bibliometric analysis. The research data is in the form of articles collected from the crossref meta data from 2015-2020. Filtering articles using the keywords "bumdes" and "village owned enterprises" and journals must be indexed on SINTA or SCOPUS. The results of this study indicate that of the 223 articles collected, 105 articles have been indexed in SINTA and 2 research articles have been indexed by SCOPUS. Trends in accounting research topics (2015-2020) are finance and management, and the potential for further research is related to the study of effective governance for BUMDes.Keywords: Bibliometric; BUMDes; Research Opportunities; Research Trends; SINTA ABSTRAKPerkembangan BUMDes di Indonesia terjadi setelah dikeluarkannya UU No. 4 Tahun 2015. Perkembangan ini bukan hanya dinilai dari unit yang terbentuk melainkan jumlah penelitian juga. Perkembangan penelitian BUMDes terjadi secara signifikan, hal ini membawa kebutuhan baru agar perkembangan tersebut dapat dikomunikasikan. Bibliometrik digunakan untuk mengkomunikasikan perkembangan suatu disiplin ilmu untuk kebutuhan penelitian selanjutnya. Penelitian ini bertujuan untuk  memetakan perkembangan penelitian terkait dengan BUMDes dari tahun 2015-2020. Rangkuman penlitian ini diharapkan dapat menjadi pijakan awal untuk penelitian selanjutnya dalam kajian BUMDes. Metode penelitian yang digunakan yaitu kuasi kualitatif dengan analisis bibliometrik. Data penelitian berupa artikel yang dikumpulkan dari meta data Crossref dalam kurun waktu 2015-2020. Penyaringan artikel menggunakan keyword “bumdes” dan “village owned enterprice” serta jurnal harus terindeks di SINTA atau SCOPUS. Hasil dari penelitian ini menunjukan dari 223 artikel yang dikumpulkan terdapat 105 artikel yang sudah terindeks di SINTA dan 2 artikel penelitian terindeks SCOPUS. Tren topik penelitian akuntansi (2015-2020) adalah keuangan dan manajemen, dan potensi penelitian selanjutnya terkait dengan kajian tata kelola yang efektif untuk BUMDesKata kunci : Bibliometrik; BUMDes; Peluang Riset; SINTA; Tren Penelitian

scholarly journals Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data

2021 ◽  
Vol 4 ◽  
Author(s):  
Maria Luiza. M. Campos ◽  
Eugênio Silva ◽  
Renato Cerceau ◽  
Sérgio Manuel Serra da Cruz ◽  
Fabricio A. B. Silva ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cancer Research ◽  
Fair Value ◽  
Research Data ◽  
Meta Data ◽  
Machine Readable

scholarly journals Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data

2020 ◽  
Vol 2 (1-2) ◽  
pp. 151-157 ◽  
Author(s):  
Peter McQuilton ◽  
Dominique Batista ◽  
Oya Beyan ◽  
Ramon Granell ◽  
Simon Coles ◽  
...  
Keyword(s):  
Data Sharing ◽  
Knowledge Bases ◽  
Research Data ◽  
Fair Share ◽  
Data Repositories ◽  
Meta Data ◽  
Research Publications

Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have been created and implemented by several thousand data repositories and knowledge-bases, across all disciplines. These resources are necessary to meet government, funder and publisher expectations of greater transparency and access to and preservation of data related to research publications. This obligates researchers to ensure their data is FAIR, share their data using the appropriate standards, store their data in sustainable and community-adopted repositories, and to conform to funder and publisher data policies. FAIR data sharing also plays a key role in enabling researchers to evaluate, re-analyse and reproduce each other's work. We can map the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. In this paper, we show how the work of the GO-FAIR FAIR Standards, Repositories and Policies (StRePo) Implementation Network serves as a central integration and cross-fertilisation point for the reuse of FAIR standards, repositories and data policies in general. Pivotal to this effort, the FAIRsharing, an endorsed flagship resource of the Research Data Alliance that maps the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. Lastly, we highlight a number of activities around FAIR tools, services and educational efforts to raise awareness and encourage participation.

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