A general data model for socioeconomic metabolism and its implementation in an industrial ecology data commons prototype

Physical rehabilitation of patients affected by neurological diseases is currently an unmet clinical need due to the high cost of health systems and the impact that rehabilitation has on patients and their families. This paper introduces an approach based on the idea of precision rehabilitation, where personalization of the physical rehabilitation for each patient and accessibility to technological tools that support it are pursued. A general architecture that contemplates functional modules related to multiple work areas and different roles is proposed. One of these modules is related to gamification and delves into the design and development of exergames, defined from a general data model, in order to increase the level of patient motivation when exercising. The paper discusses the creation and evaluation of an exergame designed for the rehabilitation of lower limbs.

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Semantic Matchmaking for Kinect-Based Posture and Gesture Recognition

International Journal of Semantic Computing ◽

10.1142/s1793351x14400169 ◽

2014 ◽

Vol 08 (04) ◽

pp. 491-514 ◽

Cited By ~ 4

Author(s):

Michele Ruta ◽

Floriano Scioscia ◽

Maria Di Summa ◽

Saverio Ieva ◽

Eugenio Di Sciascio ◽

...

Keyword(s):

Gesture Recognition ◽

Data Model ◽

Experimental Tests ◽

Resource Discovery ◽

Reference Dataset ◽

Depth Data ◽

General Data ◽

General Data Model ◽

Tracking Device ◽

Computational Resources

Innovative analysis methods applied to data extracted by off-the-shelf peripherals can provide useful results in activity recognition without requiring large computational resources. In this paper a framework is proposed for automated posture and gesture recognition, exploiting depth data provided by a commercial tracking device. The detection problem is handled as a semantic-based resource discovery. A general data model and the corresponding ontology provide the formal underpinning for posture and gesture annotation via standard Semantic Web languages. Hence, a logic-based matchmaking, exploiting non-standard inference services, allows to: (i) detect postures via on-the-fly comparison of the annotations with standard posture descriptions stored as instances of a proper Knowledge Base; (ii) compare subsequent postures in order to recognize gestures. The framework has been implemented in a prototypical tool and experimental tests have been carried out on a reference dataset. Preliminary results indicate the feasibility of the proposed approach.

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Data framework for efficient management of sequence and microsatellite data in biodiversity studies

Archives Animal Breeding ◽

10.7482/0003-9438-56-006 ◽

2013 ◽

Vol 56 (1) ◽

pp. 50-64 ◽

Cited By ~ 1

Author(s):

C. V. C. Truong ◽

Z. Duchev ◽

E. Groeneveld

Keyword(s):

Information System ◽

Molecular Data ◽

General Information ◽

Biological Data ◽

Efficient Management ◽

Data Framework ◽

Wide Range ◽

Uniform Solution ◽

General Data ◽

General Data Model

Abstract. In recent years, software packages for the management of biological data have rapidly been developing. However, currently, there is no general information system available for managing molecular data derived from both Sanger sequencing and microsatellite genotyping projects. A prerequisite to implementing such a system is to design a general data model which can be deployed to a wide range of labs without modification or customization. Thus, this paper aims to (1) suggest a uniform solution to efficiently store data items required in different labs, (2) describe procedures for representing data streams and data items (3) and construct a formalized data framework. As a result, the data framework has been used to develop an integrated information system for small labs conducting biodiversity studies.

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Harmonization of clinical data across Gen3 data commons.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.15_suppl.e18094 ◽

2019 ◽

Vol 37 (15_suppl) ◽

pp. e18094-e18094 ◽

Cited By ~ 1

Author(s):

LaRon Hughes ◽

Robert L. Grossman ◽

Zachary Flamig ◽

Andrew Prokhorenkov ◽

Michael Lukowski ◽

...

Keyword(s):

Open Source ◽

Clinical Data ◽

Open Source Software ◽

Data Model ◽

Reference Standards ◽

Data Dictionary ◽

Software Platform ◽

Operating Data ◽

External Reference ◽

Data Commons

e18094 Background: Gen3 is an open source software platform for developing and operating data commons. Gen3 systems are now used by a variety of institutions and agencies to share and analyze large biomedical datasets including clinical and genomic data. One of the challenges of working with these datasets is disparate clinical data standards used by researchers across different studies and fields. We have worked to address these hurdles in a variety of ways. Methods: Gen3 is an open source software platform for developing and operating data commons. Detailed specification and features can be found at https://gen3.org/ with code located on GitHub ( https://github.com/UC-cdis ). Results: The Gen3 data model is a graphical representation of the different nodes or classes of data that have been collected. Examples include diagnosis, demographic, exposure, and family history. The properties and values on each node are controlled by the data dictionary specified by the data commons creator. While each commons may have a unique data model and dictionary, specifying external standards allows for easier submission of new data and assists data consumers with interpretation of results. A variety of external references can be supported, but here we demonstrate the use of the National Cancer Institute Thesaurus (NCIt). NCIt provides reference terminologies and biomedical standards that contain a rich set of terms, codes, definitions, and concepts. Using the same reference standards across commons allows for the export of clinical data between commons. The Portable Format for Biomedical Data (PFB) was created to facilitate data export and to allow the data dictionary schema as well as the raw data to be compressed and exported. This new file format, which utilizes an Avro serialization, is small, fast, easy to modify, and enables simple data export and import. PFB also has the ability to house entire external reference ontologies and it is easy to update the PFB references as changes are introduced. Conclusions: We have shown here how the Gen3 data model, use of external reference standards for clinical data, and the export/import format of PFB enable the harmonization of clinical data across different data commons.

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Development of a Data Model and Data Commons for Germ Cell Tumors

JCO Clinical Cancer Informatics ◽

10.1200/cci.20.00025 ◽

2020 ◽

pp. 555-566

Author(s):

Bo Ci ◽

Donghan M. Yang ◽

Mark Krailo ◽

Caihong Xia ◽

Bo Yao ◽

...

Keyword(s):

Germ Cell ◽

Rare Disease ◽

Data Model ◽

Collaborative Research ◽

Germ Cell Tumors ◽

Data Sets ◽

Integrated Research ◽

The Commons ◽

Prospective Trials ◽

Data Commons

Germ cell tumors (GCTs) are considered a rare disease but are the most common solid tumors in adolescents and young adults, accounting for 15% of all malignancies in this age group. The rarity of GCTs in some groups, particularly children, has impeded progress in treatment and biologic understanding. The most effective GCT research will result from the interrogation of data sets from historical and prospective trials across institutions. However, inconsistent use of terminology among groups, different sample-labeling rules, and lack of data standards have hampered researchers’ efforts in data sharing and across-study validation. To overcome the low interoperability of data and facilitate future clinical trials, we worked with the Malignant Germ Cell International Consortium (MaGIC) and developed a GCT clinical data model as a uniform standard to curate and harmonize GCT data sets. This data model will also be the standard for prospective data collection in future trials. Using the GCT data model, we developed a GCT data commons with data sets from both MaGIC and public domains as an integrated research platform. The commons supports functions, such as data query, management, sharing, visualization, and analysis of the harmonized data, as well as patient cohort discovery. This GCT data commons will facilitate future collaborative research to advance the biologic understanding and treatment of GCTs. Moreover, the framework of the GCT data model and data commons will provide insights for other rare disease research communities into developing similar collaborative research platforms.

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Industrial ecology

AccessScience ◽

10.1036/1097-8542.757580 ◽

2015 ◽

Keyword(s):

Industrial Ecology

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Decision Making in Team Sports: Data, model and applied perspective

PsycEXTRA Dataset ◽

10.1037/e509992008-001 ◽

2008 ◽

Author(s):

Pedro J. M. Passos ◽

Duarte Araujo ◽

Keith Davids ◽

Ana Diniz ◽

Luis Gouveia ◽

...

Keyword(s):

Decision Making ◽

Data Model ◽

Team Sports ◽

Sports Data

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SARI : A User-Oriented Data Bank System for Medical Applications

Methods of Information in Medicine ◽

10.1055/s-0038-1635729 ◽

1976 ◽

Vol 15 (02) ◽

pp. 69-74

Author(s):

M. Goldberg ◽

B. Doyon

Keyword(s):

Data Base ◽

Personal Data ◽

Data Bank ◽

Medical Applications ◽

Basic Principles ◽

Base Management ◽

General Data ◽

Privacy Problem ◽

Bank System ◽

Made In

This paper describes a general data base management package, devoted to medical applications. SARI is a user-oriented system, able to take into account applications very different by their nature, structure, size, operating procedures and general objectives, without any specific programming. It can be used in conversational mode by users with no previous knowledge of computers, such as physicians or medical clerks.As medical data are often personal data, the privacy problem is emphasized and a satisfactory solution implemented in SARI.The basic principles of the data base and program organization are described ; specific efforts have been made in order to increase compactness and to make maintenance easy.Several medical applications are now operational with SARI. The next steps will mainly consist in the implementation of highly sophisticated functions.

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