scholarly journals Neuroimaging Data Access and Query through a Common Application Programming Interface

2014 ◽  
Vol 8 ◽  
Author(s):  
Nichols B. Nolan ◽  
Haselgrove Christian ◽  
Poline Jean-Baptiste ◽  
Ghosh Satrajit S.
Keyword(s):  
Application Programming Interface ◽  
Data Access ◽  
Neuroimaging Data ◽  
Application Programming ◽  
Common Application ◽  
Programming Interface

Studying Facebook and Instagram data: The Digital Footprints software

First Monday ◽  
2015 ◽  
Author(s):  
Anja Bechmann ◽  
Peter Bjerregaard Vahlstrup
Keyword(s):  
Data Extraction ◽  
Application Programming Interface ◽  
Data Access ◽  
Quality Data ◽  
Ethical Considerations ◽  
Private Data ◽  
User Data ◽  
Application Programming ◽  
Digital Footprints ◽  
Programming Interface

The aim of this article is to discuss methodological implications and challenges in different kinds of deep and big data studies of Facebook and Instagram through methods involving the use of Application Programming Interface (API) data. This article describes and discusses Digital Footprints (www.digitalfootprints.dk), a data extraction and analytics software that allows researchers to extract user data from Facebook and Instagram data sources; public streams as well as private data with user consent. Based on insights from the software design process and data driven studies the article argues for three main challenges: Data quality, data access and analysis, and legal and ethical considerations.

scholarly journals Enabling FAIR Discovery of Rare Disease Digital Resources

2021 ◽  
Author(s):  
Rajaram Kaliyaperumal ◽  
Núria Queralt Rosinach ◽  
Kees Burger ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Marc Hanauer ◽  
...  
Keyword(s):  
Rare Disease ◽  
Application Programming Interface ◽  
Digital Resources ◽  
Disease Research ◽  
Automated Processing ◽  
Fair Principles ◽  
Application Programming ◽  
Common Application ◽  
Programming Interface ◽  
Semantic Database

Background: Integration of heterogenous resources is key for Rare Disease research. Within the EJP RD, common Application Programming Interface specifications are proposed for discovery of resources and data records. This is not sufficient for automated processing between RD resources and meeting the FAIR principles. Objective: To design a solution to improve FAIR for machines for the EJP RD API specification. Methods: A FAIR Data Point is used to expose machine-actionable metadata of digital resources and it is configured to store its content to a semantic database to be FAIR at the source. Results: A solution was designed based on grlc server as middleware to implement the EJP RD API specification on top of the FDP. Conclusion: grlc reduces potential API implementation overhead faced by maintainers who use FAIR at the source.

scholarly journals Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Kenneth D. Mandl ◽  
Daniel Gottlieb ◽  
Joshua C. Mandel ◽  
Vladimir Ignatov ◽  
Raheel Sayeed ◽  
...  
Keyword(s):  
Information Technology ◽  
Application Programming Interface ◽  
Data Access ◽  
Push Button ◽  
Hl7 Fhir ◽  
Bulk Data ◽  
Application Programming ◽  
Data Elements ◽  
21St Century Cures Act ◽  
Programming Interface

AbstractThe 21st Century Cures Act requires that certified health information technology have an application programming interface (API) giving access to all data elements of a patient’s electronic health record, “without special effort”. In the spring of 2020, the Office of the National Coordinator of Health Information Technology (ONC) published a rule—21st Century Cures Act Interoperability, Information Blocking, and the ONC Health IT Certification Program—regulating the API requirement along with protections against information blocking. The rule specifies the SMART/HL7 FHIR Bulk Data Access API, which enables access to patient-level data across a patient population, supporting myriad use cases across healthcare, research, and public health ecosystems. The API enables “push button population health” in that core data elements can readily and standardly be extracted from electronic health records, enabling local, regional, and national-scale data-driven innovation.

scholarly journals Impact of the persistence layer implementation methods on application per-formance

2020 ◽  
Vol 17 ◽  
pp. 326-331
Author(s):  
Kamil Siebyła ◽  
Maria Skublewska-Paszkowska
Keyword(s):  
Response Time ◽  
Web Applications ◽  
Application Programming Interface ◽  
Data Access ◽  
Persistence Layer ◽  
Application Programming ◽  
Different Levels ◽  
Programming Interface ◽  
The Way

There are various methods for creating web applications. Each of these methods has different levels of performance. This factor is measurable at every level of the application. The performance of the frontend layer depends on the response time from individual endpoint of the used API (Application Programming Interface). The way the data access will be programmed at a specific endpoint, therefore, determines the performance of the entire application. There are many programming methods that are often time-consuming to implement. This article presents a comparison of the available methods of handling the persistence layer in relation to the efficiency of their implementation.                                                                                    

scholarly journals Efficient application programming interface for multi-dimensional modeling data

2011 ◽  
Vol 14 (1) ◽  
pp. 1-12
Author(s):  
Norman L. Jones ◽  
Robert M. Wallace ◽  
Russell Jones ◽  
Cary Butler ◽  
Alan Zundel
Keyword(s):  
Data Sharing ◽  
Cross Sections ◽  
Computational Models ◽  
Application Programming Interface ◽  
Data Access ◽  
Brigham Young University ◽  
Us Army ◽  
Data Standard ◽  
Application Programming ◽  
Programming Interface

This paper describes an Application Programming Interface (API) for managing multi-dimensional data produced for water resource computational modeling that is being developed by the US Army Engineer Research and Development Center (ERDC), in conjunction with Brigham Young University. This API, along with a corresponding data standard, is being implemented within ERDC computational models to facilitate rapid data access, enhanced data compression and data sharing, and cross-platform independence. The API and data standard are known as the eXtensible Model Data Format (XMDF), and version 1.3 is available for free download. This API is designed to manage geometric data associated with grids, meshes, riverine and coastal cross sections, and both static and transient array-based datasets. The inclusion of coordinate system data makes it possible to share data between models developed in different coordinate systems. XMDF is used to store the data-intensive components of a modeling study in a compressed binary format that is platform-independent. It also provides a standardized file format that enhances modeling linking and data sharing between models.

VirES for Aeolus - Virtual Research Environment (VRE)

2021 ◽  
Author(s):  
Daniel Santillan Pedrosa ◽  
Alexander Geiss ◽  
Isabell Krisch ◽  
Fabian Weiler ◽  
Peggy Fischer ◽  
...  
Keyword(s):  
Application Programming Interface ◽  
Data Access ◽  
Easy Access ◽  
Research Environment ◽  
Web Browser ◽  
Explorer Mission ◽  
Virtual Research Environment ◽  
Application Programming ◽  
Open Service ◽  
Programming Interface

<p><span>The VirES for Aeolus service (https://aeolus.services) has been successfully running </span><span>by EOX </span><span>since August 2018. The service </span><span>provides</span><span> easy access </span><span>and</span><span> analysis functions for the entire data archive of ESA's Aeolus Earth Explorer mission </span><span>through a web browser</span><span>.</span></p><p><span>This </span>free and open service <span>is being extended with a Virtual Research Environment (VRE). </span><span>The VRE </span><span>builds on the available data access capabilities of the service and provides </span><span>a </span><span>data access Application Programming Interface (API) a</span><span>s part of a </span><span>developing environment </span><span>i</span><span>n the cloud </span><span>using </span><span>JupyterHub and </span><span>JupyterLab</span><span> for processing and exploitation of the Aeolus data. </span>In collaboration with Aeolus DISC user requirements are being collected, implemented and validated.</p><p>Jupyter Notebook templates, an extensive set of tutorials, and documentation are being made available to enable a quick start on how to use VRE in projects. <span>The VRE is intended to support and simplify </span><span>the </span><span>work of (citizen-) scientists </span><span>interested in</span><span> Aeolus data by being able to </span><span>quickly develop processes or algorithms that can be </span><span>shar</span><span>ed or used to create </span><span>visualizations</span><span> for publications. Having a unified constant platform could potentially also be very helpful for calibration and validation activities </span><span>by </span><span>allowing easier result comparisons. </span></p>

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

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