scholarly journals lia_aulina_165100113

2019 ◽  
Author(s):  
Lia aulina
Keyword(s):  
Data Storage ◽  
Data Archiving ◽  
Archive File ◽  
File Cabinet ◽  
Require Data

how to create databases and tables with Borland Delphi Database is one of the needs that need to be used in making applications that require data that is changing or just for data storage. The database can be said as a collection of stored and regulated or organized data so that the data can be retrieved or searched easily and efficiently. Manually the database can be a file cabinet, while a computerized database is an archive file. In general, databases are related to computerized data archiving so as to facilitate accessing data at a time quickly..

scholarly journals lia aulina_165100113

2018 ◽  
Author(s):  
Lia aulina
Keyword(s):  
Data Storage ◽  
Data Archiving ◽  
Archive File ◽  
File Cabinet ◽  
Require Data

how to create databases and tables with Borland Delphi Database is one of the needs that need to be used in making applications that require data that is changing or just for data storage. The database can be said as a collection of stored and regulated or organized data so that the data can be retrieved or searched easily and efficiently. Manually the database can be a file cabinet, while a computerized database is an archive file. In general, databases are related to computerized data archiving so as to facilitate accessing data at a time quickly..

scholarly journals Data Storage Energy Efficiency in the Zettabyte Era

2020 ◽  
Vol 2 (3) ◽  
pp. 22
Author(s):  
Peter Hormann ◽  
Leith Campbell
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Data Storage ◽  
Data Archiving ◽  
Future Value ◽  
Widespread Availability ◽  
Business As Usual ◽  
Data Centres ◽  
Broad Energy

Data storage has become an increasingly significant issue with the widespread availability of cheap storage technology and the development of global data centres for cloud storage. This paper reports a study of energy consumption for data storage in data centres. Unlike previous estimates, which have been extrapolations of broad energy usage within the data centre, we take a bottom-up approach. Firstly, we describe the technologies that can be used for data storage. Then we build up a model of energy consumption in data centres based on tiers of data storage. Based on published forecasts of data storage growth and assumptions about improving energy efficiency in technology and data centres, we then estimate the energy consumption for data storage in data centres in 2020. We show that energy consumption will rise substantially if a “business as usual” approach is adopted. We further show that the growth in energy consumption can be mitigated somewhat by adopting a more aggressive policy of data archiving on long-term, low-energy, “cold” storage; or more ideally purging data of little or no future value. This, however, would require a change in the popular assumption that data will be available readily online and forever.

scholarly journals Integrated omics: tools, advances and future approaches

2019 ◽  
Vol 62 (1) ◽  
pp. R21-R45 ◽  
Author(s):  
Biswapriya B Misra ◽  
Carl Langefeld ◽  
Michael Olivier ◽  
Laura A Cox
Keyword(s):  
Data Storage ◽  
Data File ◽  
Daily Basis ◽  
Cellular Systems ◽  
Data Types ◽  
Statistical Validation ◽  
Validation Data ◽  
Data Archiving ◽  
Meaningful Context ◽  
Integrated Omics

With the rapid adoption of high-throughput omic approaches to analyze biological samples such as genomics, transcriptomics, proteomics and metabolomics, each analysis can generate tera- to peta-byte sized data files on a daily basis. These data file sizes, together with differences in nomenclature among these data types, make the integration of these multi-dimensional omics data into biologically meaningful context challenging. Variously named as integrated omics, multi-omics, poly-omics, trans-omics, pan-omics or shortened to just ‘omics’, the challenges include differences in data cleaning, normalization, biomolecule identification, data dimensionality reduction, biological contextualization, statistical validation, data storage and handling, sharing and data archiving. The ultimate goal is toward the holistic realization of a ‘systems biology’ understanding of the biological question. Commonly used approaches are currently limited by the 3 i’s – integration, interpretation and insights. Post integration, these very large datasets aim to yield unprecedented views of cellular systems at exquisite resolution for transformative insights into processes, events and diseases through various computational and informatics frameworks. With the continued reduction in costs and processing time for sample analyses, and increasing types of omics datasets generated such as glycomics, lipidomics, microbiomics and phenomics, an increasing number of scientists in this interdisciplinary domain of bioinformatics face these challenges. We discuss recent approaches, existing tools and potential caveats in the integration of omics datasets for development of standardized analytical pipelines that could be adopted by the global omics research community.

scholarly journals MANAJEMEN DATA PADA ASEAN YOUTH FRIENDSHIP NETWORK (AYFN): PRAKTEK KERANGKA OPERASIONAL MANAJEMEN DATA DALAM KNOWLEDGE MANAGEMENT

2018 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Rahmat Fadhli ◽  
Rifqi Zaeni Achmad Syam
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Data Organization ◽  
Friendship Network ◽  
Data Archiving ◽  
Use Of Data ◽  
Confidential Data ◽  
Project Officer ◽  
User Data ◽  
Direct Use

Manajemen Data mencakup semua kegiatan yang berhubungan dengan data selain penggunaan langsung dari data, termasuk organisasi data; back up data; pengarsipan data; berbagi data dan penerbitan; menjamin keamanan data rahasia dan sinkronisasi data. Kegiatan manajemen data adalah suatu kegiatan penting yang dilakukan oleh individu ataupun organisasi terhadap data agar mudah di akses, aman dan tersedia bagi user/ pemakainya. Kegiatan manajemen data di ASEAN Youth Friendship Network dilakukan oleh Project officer karena berkenaan dan berhubungan langsung dalam proses manajerial data, penyimpanan, dan pengolahan data untuk mendapatkan metadata. Proses manajemen data yang dilakukan AYFN terdiri atas lima tahapan yakni perencanaan (planning), pengumpulan (collecting), pengolahan (processing), organisasi data (organizing), penyajian dan penyampaian (presentation). ABSTRACTData Management covers all activities related to data other than direct use of data, including data organization; back up data; data archiving; data sharing and publishing; ensure confidential data security and data synchronization. Data management activities are an important activity carried out by individuals or organizations on data so that they are easy to access, secure and available to the user / user. Data management activities in the ASEAN Youth Friendship Network are carried out by Project officers because they pertain to and relate directly to data managerial processes, data storage and processing to obtain metadata. The data management process carried out by AYFN consists of five stages, namely planning, collecting, processing, data organization, presentation and presentation.

scholarly journals The International Phenological Garden network (1959 to 2021): its 131 gardens, cloned study species, data archiving, and future

2021 ◽  
Author(s):  
Susanne S. Renner ◽  
Frank-M. Chmielewski
Keyword(s):  
Climate Change ◽  
Data Storage ◽  
Collaborative Networks ◽  
Important Data ◽  
Data Archiving ◽  
Phenological Data ◽  
Phenological Garden ◽  
The Moment ◽  
Change Monitoring ◽  
Study Species

AbstractCollaborative networks that involve the compilation of observations from diverse sources can provide important data, but are difficult to maintain over long periods. The International Phenological Garden (IPG) network, begun in 1959 and still functioning 60 years later, has been no exception. Here we document its history, its monitored 23 species (initially all propagated by cloning), and the locations and years of data contribution of its 131 gardens, of which 63 from 19 countries contributed data in 2021. The decision to use clones, rather than multiple, locally adapted individuals, was based on the idea that this would “control” for genetic effects, and it affects the applicability of the data and duration of the network. We also describe the overlap among the IPG network, the Pan-European Phenology network (PEP725), and the phenological data offered by the German Weather Service. Sustainable data storage and accessibility, as well as the continued monitoring of all 23 species/clones, are under discussion at the moment, as is the fate of other phenological networks, despite a politically mandatory plant-based climate-change monitoring.

scholarly journals PACS Performance Analysis In Hospital Radiology Unit

2017 ◽  
Author(s):  
Indra Riyanto
Keyword(s):  
Medical Imaging ◽  
Data Storage ◽  
Medical Science ◽  
Medical Diagnostics ◽  
Integrated System ◽  
Radiology Department ◽  
Public Healthcare ◽  
Data Archiving ◽  
Imaging Science ◽  
Patient Service

Medical imaging science for healthcare solution always grows and develops as well as information technology development continuously. Medical imaging used in radiology department has important job for good patient service in disease diagnostics or medicine treatment. The precision and accuracy in medical imaging also used in another diagnostics and medical treatment department. Radiology department was supported Picture Archiving Communication System (PACS). PACS is an integrated system that has many kind of function, such as image storage, image archiving, image accessing and manipulation. Data format used in the PACS is Digital Imaging and Communication in Medicine (DICOM), Dicom is standard for data storage, data archiving, data printing and information transmission in healthcare world. PACS technology in Radiology department can fix and problem elimination about time as major problem in diagnostics because medical diagnostic need accurate and precision. PACS technology implementation also developed as part of tele-radiology in Indonesia for alternative step to public healthcare service involvement and future medical science. Teleradiology used for physicians conference from the other site to discussing and consultation medical diagnostics, more physician can access same patient medical image in the same time together. Patient service will be smarter using PACS technology systems in medical imaging science.

scholarly journals Towards Practical and Robust DNA-Based Data Archiving Using ‘Yin-Yang Codec’ System

2021 ◽  
Author(s):  
Zhi Ping ◽  
Shihong Chen ◽  
Guangyu Zhou ◽  
Xiaoluo Huang ◽  
Sha Joe Zhu ◽  
...  
Keyword(s):  
Data Storage ◽  
Dna Sequences ◽  
Recovery Rate ◽  
Yeast Cells ◽  
Data Types ◽  
Data Archiving ◽  
Information Density ◽  
Yin Yang

Abstract DNA is a promising data storage medium due to its remarkable durability and space-efficient storage. Early bit-to-base transcoding schemes have primarily pursued information density, at the expense however of introducing biocompatibility challenges or at the risk of decoding failure. Here, we propose a robust transcoding algorithm named the “Yin-Yang Codec” (YYC), using two rules to encode two binary bits into one nucleotide, to generate DNA sequences highly compatible with synthesis and sequencing technologies. We encoded two representative file formats and stored them in vitro as 200-nt oligo pools and in vivo as an ~54-kb DNA fragment in yeast cells. Sequencing results show that YYC exhibits high robustness and reliability for a wide variety of data types, with an average recovery rate of 99.94% at 104 molecule copies and an achieved recovery rate of 87.53% at 100 copies. In addition, the in vivo storage demonstration achieved for the first time an experimentally measured physical information density of 198.8 EB per gram of DNA (44% of the theoretical maximum for DNA).

scholarly journals PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI PEMASANGAN BARU LISTRIK BERBASIS WEB BARCODE

JURNAL PETIK ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 25-30
Author(s):  
Andri Suryadi ◽  
Asep Ahmad K ◽  
Sri Rahayu ◽  
Nina Herlina ◽  
Yola Yulianti
Keyword(s):  
Information System ◽  
Data Storage ◽  
Database System ◽  
Information Delivery ◽  
Storage Media ◽  
The Future ◽  
File Cabinet ◽  
Electrical Installation

Abstract - The new electrical installation information system is an information system that hasbeen computerized by the system. in a new electrical installation system the admin enters the dataof the applicant who wants to pair the new electricity in his home automatically to the databaseand makes it easy for the admin to search for data in the future. If the system is not computerizedand only manually, the applicant's data will still be stacked in a file cabinet, so that when makingthe report it has difficulty in searching the applicant's data and has the risk of losing data. This isbecause it is not supported by the presence of storage media in the form of a database system formanagement of applicant data. Based on this, the new web barcode-based electrical installationinformation system can help the applicant in registering the electricity installation and become asystem of information delivery that can provide convenience in processing the applicant's data foradministrative staff, especially in processing and data storage applicant data.Keywords - Systems, Information, Installation of new electricityAbstrak - Sistem informasi pemasangan listrik baru merupakan sistem informasi yang tsudahterkomputerisasi sistemnya . dalam sebuah sistem pemasangan listrik baru admin menginputkan datapemohon yang ingin memasangkan listrik baru dirumahnya secara otomatis ke database dan memudahkanadmin dalam pencarian data dikemudian hari . Jika sistem nya belum terkomputerisasi dan hanya manual sajanantinya data pemohon masih ditumpuk dalam lemari arsip, sehingga pada saat pembuatan laporan memilikikesulitan dalam pencarian data pemohon dan memiliki resiko kehilangan data. Hal ini karena tidak didukungdengan adanya media penyimpanan berupa sistem database untuk manajemen data pemohon. Berdasarkan haltersebut maka dengan sistem informasi pemasangan listrik baru berbasis web barcode , ternyata dapatmembantu pemohon dalam mendaftar pemasangan listrik dan menjadi sistem penyampaian informasi yangdapat memberikan kemudahan dalam hal pengolahan data pemohon bagi pegawai bagian administrasi padakhususnya dalam melakukan pengolahan dan juga penyimpanan data-data pemohon.Kata Kunci : Sistem, Informasi, Pemasangan baru listrik   

scholarly journals Aplikasi Pengelolaan Rumah Berkas Wajib Pajak di Kantor Pelayanan Pajak Pratama

SISFOTENIKA ◽  
2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Fitri Nuraeni ◽  
Puspa Rahayu
Keyword(s):  
Design Data ◽  
File Management ◽  
Archive File ◽  
Long Time ◽  
Data Files ◽  
File Cabinet ◽  
Entity Relationship ◽  
Debt Collection ◽  
Structured Approach ◽  
Entity Relationship Diagrams

<p><strong><em>Abstract</em></strong></p><p><em><em>File management debt collection letter of the taxpayer in the Tax Office Primary use the term </em><em>home taxpayer files. Where in the maintenance of the file is still using the process of recording data on </em><em>the ledger and the physical storage of records in a file cabinet. The amount of storage shelves and files </em></em><em><em>are kept very much lead in the file search process takes a long time. Supervision existence archive </em><em>documents is very difficult to do if you have to check the house when the order to each file.By utilizing </em><em>databases and application managers, can be designed application manager of the file that works to help </em><em>the storage of data files and check the existence of a letter to the home archive file. This application </em><em>design using the Waterfall method using a structured approach flowmap, context diagrams, data flow </em><em>diagrams and entity relationship diagrams as design data base.Management of application design house </em><em>taxpayer files, intended in order to overcome the problems that occur in the Collection Section Tax Office </em><em>Primary, so that the process of debt collection file management taxpayer for faster and easier.</em></em></p><p><em><em></em><strong><em>Keywords</em></strong>—<em>Home Files, File Collection, Tax Debt, The Taxpayer</em></em><strong><em><span><span><span><br /><br class="Apple-interchange-newline" /></span></span></span></em></strong></p><p> </p>

Data Archiving and Sharing

2019 ◽  
pp. 146-150
Author(s):  
Michael Hochberg
Keyword(s):  
Data Archiving ◽  
Use Of Data ◽  
Require Data

Many journals require data archiving as a condition for publication. Archiving permits verification of results and future use of data. However, data archiving presents some challenges, the most important being the analysis of data in new ways either not approved by—or potentially scooping—the original authors. To whom do data belong and what is fair practice for future use? This chapter will discuss these issues and ways forward.

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