Data Processing Handbook for Complex Biological Data Sources

This article discusses the implementation of wages in agriculture in Nagari Bukit Kandung Subdistrict X Koto Atas, Solok Regency in a review of muamalah fiqh. The type of research is field research (field research). The data sources consist of primary data sources, namely from farmers and farm laborers who were carried out to 8 people and 4 farm workers, while the secondary data were obtained from documents in the form of the Bukit Kandung Nagari Profile that were related to this research, which could provide information or data. Addition to strengthen the primary data. Data collection techniques that the author uses are observation, interviews and documentation. The data processing that the author uses is qualitative. Based on the results of this study, the implementation of wages in agriculture carried out in Nagari Bukit Kandung District X Koto Diatas Solok Regency is farm laborers who ask for their wages to be given in advance before they carry out their work without an agreement to give their wages at the beginning. Because farm laborers ask for their wages to be given at the beginning, many farm workers work not as expected by farmers and there are also farm workers who are not on time to do the work that should be done. According to the muamalah fiqh review, the implementation of wages in agriculture in Nagari Bukit Kandung is not allowed because there is an element of gharar in the contract and there are parties who are disadvantaged in the contract, namely the owner of the fields.

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Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks

Yearbook of Medical Informatics ◽

10.15265/iy-2014-0016 ◽

2014 ◽

Vol 23 (01) ◽

pp. 27-35 ◽

Cited By ~ 16

Author(s):

S. de Lusignan ◽

S-T. Liaw ◽

C. Kuziemsky ◽

F. Mold ◽

P. Krause ◽

...

Keyword(s):

Big Data ◽

Data Processing ◽

Real Time ◽

Predictive Analytics ◽

Regulatory Compliance ◽

Use Cases ◽

Data Sources ◽

Use Case ◽

Crowd Sourcing ◽

Big Data Processing

Summary Background: Generally benefits and risks of vaccines can be determined from studies carried out as part of regulatory compliance, followed by surveillance of routine data; however there are some rarer and more long term events that require new methods. Big data generated by increasingly affordable personalised computing, and from pervasive computing devices is rapidly growing and low cost, high volume, cloud computing makes the processing of these data inexpensive. Objective: To describe how big data and related analytical methods might be applied to assess the benefits and risks of vaccines. Method: We reviewed the literature on the use of big data to improve health, applied to generic vaccine use cases, that illustrate benefits and risks of vaccination. We defined a use case as the interaction between a user and an information system to achieve a goal. We used flu vaccination and pre-school childhood immunisation as exemplars. Results: We reviewed three big data use cases relevant to assessing vaccine benefits and risks: (i) Big data processing using crowd-sourcing, distributed big data processing, and predictive analytics, (ii) Data integration from heterogeneous big data sources, e.g. the increasing range of devices in the “internet of things”, and (iii) Real-time monitoring for the direct monitoring of epidemics as well as vaccine effects via social media and other data sources. Conclusions: Big data raises new ethical dilemmas, though its analysis methods can bring complementary real-time capabilities for monitoring epidemics and assessing vaccine benefit-risk balance.

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A graph based model for multiple biological data sources integration

Proceedings of the 3rd International Conference on Smart City Applications - SCA '18 ◽

10.1145/3286606.3286826 ◽

2018 ◽

Cited By ~ 1

Author(s):

Hamza Hanafi ◽

Fadoua Rafii ◽

Badr Dine Rossi Hassani ◽

M'hamed Aït Kbir

Keyword(s):

Biological Data ◽

Data Sources ◽

Graph Based Model

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Extension of the sasCIF format and its applications for data processing and deposition

Journal of Applied Crystallography ◽

10.1107/s1600576715024942 ◽

2016 ◽

Vol 49 (1) ◽

pp. 302-310 ◽

Cited By ~ 8

Author(s):

Michael Kachala ◽

John Westbrook ◽

Dmitri Svergun

Keyword(s):

Data Analysis ◽

Data Processing ◽

Data Exchange ◽

Hybrid Methods ◽

Data Bank ◽

Relevant Information ◽

Experimental Information ◽

Biological Data ◽

Task Forces ◽

Software Modules

Recent advances in small-angle scattering (SAS) experimental facilities and data analysis methods have prompted a dramatic increase in the number of users and of projects conducted, causing an upsurge in the number of objects studied, experimental data available and structural models generated. To organize the data and models and make them accessible to the community, the Task Forces on SAS and hybrid methods for the International Union of Crystallography and the Worldwide Protein Data Bank envisage developing a federated approach to SAS data and model archiving. Within the framework of this approach, the existing databases may exchange information and provide independent but synchronized entries to users. At present, ways of exchanging information between the various SAS databases are not established, leading to possible duplication and incompatibility of entries, and limiting the opportunities for data-driven research for SAS users. In this work, a solution is developed to resolve these issues and provide a universal exchange format for the community, based on the use of the widely adopted crystallographic information framework (CIF). The previous version of the sasCIF format, implemented as an extension of the core CIF dictionary, has been available since 2000 to facilitate SAS data exchange between laboratories. The sasCIF format has now been extended to describe comprehensively the necessary experimental information, results and models, including relevant metadata for SAS data analysis and for deposition into a database. Processing tools for these files (sasCIFtools) have been developed, and these are available both as standalone open-source programs and integrated into the SAS Biological Data Bank, allowing the export and import of data entries as sasCIF files. Software modules to save the relevant information directly from beamline data-processing pipelines in sasCIF format are also developed. This update of sasCIF and the relevant tools are an important step in the standardization of the way SAS data are presented and exchanged, to make the results easily accessible to users and to promote further the application of SAS in the structural biology community.

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DATA SOURCES AND DATA PROCESSING

Scientometric Indicators ◽

10.1142/9789814415149_0004 ◽

1985 ◽

pp. 28-41

Keyword(s):

Data Processing ◽

Data Sources

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Implementasi Kebijakan Pembinaan UMKM di Kabupaten Subang

The World of Business Administration Journal ◽

10.37950/wbaj.v2i2.937 ◽

2020 ◽

Author(s):

Iwan Henri Kusnadi ◽

Luki Natika ◽

Dyera Octa Alsonia

Keyword(s):

Decision Making ◽

Data Processing ◽

Direct Observation ◽

Program Implementation ◽

Qualitative Approach ◽

Target Group ◽

Data Sources ◽

Library Research

Tujuan penulis melakukan penelitian ini adalah untuk mengetahui Implementasi Kebijakan Dalam Pembinaan UMKM Pada Dinas Koperasi, UMKM, Perdagangan, dan Perindustrian Kabupaten Subang. Penelitian dan penulisan ini membahas hal-hal yang berkaitan dengan Impelementasi Kebijakan dalam Pembinaan UMKM Pada Dinas Koperasi, UMKM, Perdagangan, dan Perindustrian dengan teori Merilee S. Grindle yaitu Isi kebijakan terdiri dari Kepentingan kelompok sasaran, Tipe Manfaat, Derajat Perubahan yang diinginkan, Letak pengambilan keputusan, pelaksanaan program, sumberdaya yang dilibatkan. Lingkungan Impelementasi terdiri dari Kekuasaan, kepentinganm dan strategi aktor yang terlibat, karakteristik Lembaga dan penguasaan. Dalam penelitian ini menggunakan pendekatan kualitatif melalui pengamatan dan observasi, wawancara, studi keperpustakaan dan dokumentasi, sumber data diperoleh dari informan melalui pengamatan dan wawancara secara langsung dan dokumen diperoleh dalam bentuk hasil wawancara dan pengolahan data. Hasil penelitian menunjukan bahwa Impelementasi kebijakan Dalam Pembinaan UMKM Pada Dinas Koperasi, UMKM, Perdagangan, dan Perindustrian Kabupaten subang sudah efektif pada Tipe manfaat, Derajat perubahan yang diinginkan, Letak pengambilan keputusan, Pelaksanaan program, Sumberdaya yang dilibatkan, Karakteristik Lembaga dan penguasan, kepatuhan dan daya tangkap, sedangkan pada kepentingan kelompok sasaran, kekuasaan, kepentingan, dan strategi aktor yang terlibat, belum efektif. The purpose of the authors of this research is to determine the implementation of policies in the development of UMKM at the Cooperatives, UMKM, Trade, and Industry Office of Subang Regency. This research and writing discusses matters related to the implementation of policies in the development of UMKM at the Cooperatives, UMKM, Trade and Industry offices with the Merilee S. decision making, program implementation, the resources involved. The implementation environment consists of the power, interests and strategies of the actors involved, the characteristics of the institution and the power. In this study, using a qualitative approach through observation and observation, interviews, library research and documentation, data sources were obtained from informants through direct observation and interviews and documents were obtained in the form of interviews and data processing. The results showed that the implementation of policies in the development of UMKM at the Office of Cooperatives, UMKM, Trade, and Industry of Subang Regency was effective on the type of benefit, the degree of change desired, the location of decision making, program implementation, the resources involved, the characteristics of the institution and the mastery, compliance and capturing power, while in the interests of the target group, the power, interests and strategies of the actors involved, it is not yet effective.

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