scholarly journals Discovering Data Access and Use Requirements Using the Data Tags Suite (DATS) Model1

2019 ◽  
Author(s):  
George Alter ◽  
Alejandra Gonzalez-Beltran ◽  
Lucila Ohno-Machado ◽  
Philippe Rocca-Serra
Keyword(s):  
Data Use ◽  
Data Access ◽  
Data Reuse ◽  
Biomedical Data ◽  
Patient Privacy ◽  
Data Discovery ◽  
Confidential Data ◽  
The Impact ◽  
Access Data ◽  
Existing Data

AbstractThis article presents elements in the Data Tags Suite (DATS) metadata schema describing data access, data use conditions, and consent information. DATS is a product of the bioCADDIE Project, which created a data discovery index for searching across all types of biomedical data. The “access and use” metadata items in DATS are designed from the perspective of a researcher who wants to find and re-use existing data. Data reuse is often controlled to protect the privacy of subjects and patients. We focus on the impact of data protection procedures on data users. However, these procedures are part of a larger environment around patient privacy protection, and this article puts DATS metadata into the context of the administrative, legal, and technical systems used to protect confidential data.

scholarly journals The Data Tags Suite (DATS) model for discovering data access and use requirements

GigaScience ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
George Alter ◽  
Alejandra Gonzalez-Beltran ◽  
Lucila Ohno-Machado ◽  
Philippe Rocca-Serra
Keyword(s):  
Data Use ◽  
Data Access ◽  
Research Data ◽  
Data Reuse ◽  
Automated Systems ◽  
Data Discovery ◽  
Confidential Data ◽  
Technical Systems ◽  
Access Data ◽  
Existing Data

Abstract Background Data reuse is often controlled to protect the privacy of subjects and patients. Data discovery tools need ways to inform researchers about restrictions on data access and re-use. Results We present elements in the Data Tags Suite (DATS) metadata schema describing data access, data use conditions, and consent information. DATS metadata are explained in terms of the administrative, legal, and technical systems used to protect confidential data. Conclusions The access and use metadata items in DATS are designed from the perspective of a researcher who wants to find and re-use existing data. We call for standard ways of describing informed consent and data use agreements that will enable automated systems for managing research data.

scholarly journals A Connection Access Mechanism of Distributed Network based on Block Chain

2022 ◽  
Vol 16 ◽  
pp. 224-231
Author(s):  
Xianfei Zhou ◽  
Hongfang Cheng ◽  
Fulong Chen
Keyword(s):  
Traditional Method ◽  
Feature Detection ◽  
Data Access ◽  
Strategy Management ◽  
Distributed Network ◽  
Network Connection ◽  
Fuzzy Clustering Method ◽  
Block Chain ◽  
The Impact ◽  
Access Data

Cross-border payment optimization technology based on block chain has become a hot spot in the industry. The traditional method mainly includes the block feature detection method, the fuzzy access method, the adaptive scheduling method, which perform related feature extraction and quantitative regression analysis on the collected distributed network connection access data, and combine the fuzzy clustering method to optimize the data access design, and realize the group detection and identification of data in the block chain. However, the traditional method has a large computational overhead for distributed network connection access, and the packet detection capability is not good. This paper constructs a statistical sequence model of adaptive connection access data to extract the descriptive statistical features of the distributed network block chain adaptive connection access data similarity. The performance of the strategy retrieval efficiency in the experiment is tested based on the strategy management method. The experiment performs matching query tests on the test sets of different query sizes. The different parameters for error rate and search delay test are set to evaluate the impact of different parameters on retrieval performance. The calculation method of single delay is the total delay or the total number of matches. The optimization effect is mainly measured by the retrieval delay of the strategy in the strategy management contract; the smaller the delay, the higher the execution efficiency, and the better the retrieval optimization effect.

scholarly journals DataMed – an open source discovery index for finding biomedical datasets

2018 ◽  
Vol 25 (3) ◽  
pp. 300-308 ◽  
Author(s):  
Xiaoling Chen ◽  
Anupama E Gururaj ◽  
Burak Ozyurt ◽  
Ruiling Liu ◽  
Ergin Soysal ◽  
...  
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Data Reuse ◽  
Biomedical Domain ◽  
Biomedical Data ◽  
Data Discovery ◽  
Healthcare Data ◽  
Core Elements ◽  
Data Ingestion

Abstract Objective Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain. Materials and Methods DataMed, which can efficiently index and search diverse types of biomedical datasets across repositories, is developed through the National Institutes of Health–funded biomedical and healthCAre Data Discovery Index Ecosystem (bioCADDIE) consortium. It consists of 2 main components: (1) a data ingestion pipeline that collects and transforms original metadata information to a unified metadata model, called DatA Tag Suite (DATS), and (2) a search engine that finds relevant datasets based on user-entered queries. In addition to describing its architecture and techniques, we evaluated individual components within DataMed, including the accuracy of the ingestion pipeline, the prevalence of the DATS model across repositories, and the overall performance of the dataset retrieval engine. Results and Conclusion Our manual review shows that the ingestion pipeline could achieve an accuracy of 90% and core elements of DATS had varied frequency across repositories. On a manually curated benchmark dataset, the DataMed search engine achieved an inferred average precision of 0.2033 and a precision at 10 (P@10, the number of relevant results in the top 10 search results) of 0.6022, by implementing advanced natural language processing and terminology services. Currently, we have made the DataMed system publically available as an open source package for the biomedical community.

scholarly journals Impact of the ARSET Program on Use of Remote-Sensing Data

2019 ◽  
Vol 8 (6) ◽  
pp. 261 ◽  
Author(s):  
Ana I. Prados ◽  
Annelise Carleton-Hug ◽  
Pawan Gupta ◽  
Amita Mehta ◽  
Brock Blevins ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Use ◽  
Remote Sensing Data ◽  
Specific Work ◽  
Future Directions ◽  
Sensing Data ◽  
Work Tasks ◽  
Training Activities ◽  
The Impact ◽  
Access Data

We show that training activities conducted through the National Aeronautics and Space Administration (NASA)’s Applied Remote-Sensing Training (ARSET) program led to a significant increase in remote-sensing data use for decision-making. Our findings are based on survey data collected from 1041 ARSET participants from 117 countries who attended ARSET trainings between 2013 and 2016. To assess the impact of the ARSET program, we analyzed changes in three metrics. Results show that 83% of all respondents increased their knowledge of remote-sensing data products at least moderately, 79% increased their ability to access data, and 73% increased their ability to make decisions. We also examined how respondents are using remote-sensing data across 40 specific work tasks ranging from research to decision support applications. More than 50% of respondents reported an increase in data use for all except two of the tasks. ARSET will use these findings, together with participant data on future training needs, to set future directions for the program.

scholarly journals The Good, the Bad, the Clunky

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Kerina Helen Jones ◽  
Sharon Heys ◽  
Karen S Tingay ◽  
Paul Jackson ◽  
Chris Dibben
Keyword(s):  
Data Acquisition ◽  
Administrative Data ◽  
Action Plan ◽  
Data Use ◽  
Data Access ◽  
Data Reuse ◽  
Research Network ◽  
Practical Case ◽  
Research Partnerships ◽  
The Uk

IntroductionAdministrative data arising via the operation of public service delivery systems hold great benefits for citizens and society providing they can be made available for research in a safe, socially-acceptable way. In recognition of this potential, the UK Administrative Data Research Network was established in 2013 to enable new research for public benefit. However, there are considerable challenges to be overcome for effective data use, and many of these are common to administrative data enterprises in general. Using this network as a practical case study, we set out to explore the challenges, and to share the ‘good’, suggest solutions to the ‘bad’, and improve the ‘clunky’ issues. MethodsA qualitative survey replicating the data use pathway was carried out across the network, followed by a workshop to discuss the summarised findings and make further suggestions. This led to a set of recommendations to inform the development of an action plan for implementation. ResultsThe survey respondents (N=27) and workshop participants (N=95) comprised multi‑disciplinary staff from across the network. The responses were summarised by consensus of three researchers and grouped into six areas: A) Data acquisition pathway; B) Approval processes; C) Controls on access & disclosure; D) Data and metadata; E) Researcher support; and F) Data reuse & retention, leading to an embedded set of 18 recommendations. Key developments promoted by this study were the development of themed research partnerships to progress data acquisition, and a policy of data retention and reuse for research. ConclusionThe network has broken new ground in using administrative data for research. This study has enabled the development of an evidence-based action plan to address many challenges in the effective use of administrative data. It represents a practical worked example, widely relevant to enterprises working with administrative data across the world. KeywordsAdministrative data research, data access, data linkage

scholarly journals It’s all in the timing: calibrating temporal penalties for biomedical data sharing

2017 ◽  
Vol 25 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Weiyi Xia ◽  
Zhiyu Wan ◽  
Zhijun Yin ◽  
James Gaupp ◽  
Yongtai Liu ◽  
...  
Keyword(s):  
Data Sharing ◽  
Data Science ◽  
Data Use ◽  
Policy Implications ◽  
Biomedical Science ◽  
Impact Factors ◽  
Biomedical Data ◽  
Data Usage ◽  
The Impact ◽  
Over Time

Abstract Objective Biomedical science is driven by datasets that are being accumulated at an unprecedented rate, with ever-growing volume and richness. There are various initiatives to make these datasets more widely available to recipients who sign Data Use Certificate agreements, whereby penalties are levied for violations. A particularly popular penalty is the temporary revocation, often for several months, of the recipient’s data usage rights. This policy is based on the assumption that the value of biomedical research data depreciates significantly over time; however, no studies have been performed to substantiate this belief. This study investigates whether this assumption holds true and the data science policy implications. Methods This study tests the hypothesis that the value of data for scientific investigators, in terms of the impact of the publications based on the data, decreases over time. The hypothesis is tested formally through a mixed linear effects model using approximately 1200 publications between 2007 and 2013 that used datasets from the Database of Genotypes and Phenotypes, a data-sharing initiative of the National Institutes of Health. Results The analysis shows that the impact factors for publications based on Database of Genotypes and Phenotypes datasets depreciate in a statistically significant manner. However, we further discover that the depreciation rate is slow, only ∼10% per year, on average. Conclusion The enduring value of data for subsequent studies implies that revoking usage for short periods of time may not sufficiently deter those who would violate Data Use Certificate agreements and that alternative penalty mechanisms may need to be invoked.

scholarly journals Pediatric Endocrinology in the Time of COVID-19: Considerations for the Rapid Implementation of Telemedicine and Management of Pediatric Endocrine Conditions

2020 ◽  
Vol 93 (6) ◽  
pp. 343-350
Author(s):  
Molly O. Regelmann ◽  
Rushika Conroy ◽  
Evgenia Gourgari ◽  
Anshu Gupta ◽  
Ines Guttmann-Bauman ◽  
...  
Keyword(s):  
Patient Care ◽  
Care Patient ◽  
The Novel ◽  
Patient Privacy ◽  
Pediatric Endocrinology ◽  
Quality Of Patient Care ◽  
Care Outcomes ◽  
Novel Coronavirus ◽  
The Impact

<b><i>Background:</i></b> Pediatric endocrine practices had to rapidly transition to telemedicine care at the onset of the novel coronavirus disease 2019 (COVID-19) pandemic. For many, it was an abrupt introduction to providing virtual healthcare, with concerns related to quality of patient care, patient privacy, productivity, and compensation, as workflows had to change. <b><i>Summary:</i></b> The review summarizes the common adaptations for telemedicine during the pandemic with respect to the practice of pediatric endocrinology and discusses the benefits and potential barriers to telemedicine. <b><i>Key Messages:</i></b> With adjustments to practice, telemedicine has allowed providers to deliver care to their patients during the COVID-19 pandemic. The broader implementation of telemedicine in pediatric endocrinology practice has the potential for expanding patient access. Research assessing the impact of telemedicine on patient care outcomes in those with pediatric endocrinology conditions will be necessary to justify its continued use beyond the COVID-19 pandemic.

An Efficient Watermarking Based Matrix Manipulation and Optimization Based Cryptographic Method for Privacy Preservation in Biomedical Data

2021 ◽  
Vol 11 (12) ◽  
pp. 2928-2936
Author(s):  
S. Vairaprakash ◽  
A. Shenbagavalli ◽  
S. Rajagopal
Keyword(s):  
Privacy Preservation ◽  
Fitness Function ◽  
Health Care Systems ◽  
Automatic Device ◽  
Expert Advice ◽  
Modern World ◽  
Biomedical Data ◽  
Patient Privacy ◽  
Secret Key ◽  
Biomedical Images

The biomedical processing of images is an important aspect of the modern medicine field and has an immense influence on the modern world. Automatic device assisted systems are immensely useful in order to diagnose biomedical images easily, accurately and effectively. Remote health care systems allow medical professionals and patients to work from different locations. In addition, expert advice on a patient can be received within a prescribed period of time from a specialist in a foreign country or in a remote area. Digital biomedical images must be transmitted over the network in remote healthcare systems. But the delivery of the biomedical goods entails many security challenges. Patient privacy must be protected by ensuring that images are secure from unwanted access. Furthermore, it must be effectively maintained so that nothing will affect the content of biomedical images. In certain instances, data manipulation can yield dramatic effects. A biomedical image safety method was suggested in this work. The suggested method will initially be used to construct a binary pixel encoding matrix and then to adjust matrix with the use of decimation mutation DNA watermarking principle. Afterwards to defend the sub keys couple privacy which was considered over the logical uplift utilization of tent maps and purpose. As acknowledged by chaotic (C-function) development, the security was investigated similar to transmission in addition to uncertainty. Depending on the preliminary circumstances, various numbers of random were generated intended for every map as of chaotic maps. An algorithm of Multi scale grasshopper optimization resource with correlation coefficient fitness function and PSNR was projected for choosing the optimal public key and secret key of system over random numbers. For choosing the validation process of optimization is to formulate novel model more relative stable to the conventional approach. In conclusion, the considered suggested findings were contrasted with current approaches protection that was appear to be successful extremely.

Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau’s Experience

2021 ◽  
Vol 111 ◽  
pp. 312-316
Author(s):  
Catherine Buffington ◽  
Jason Fields ◽  
Lucia Foster
Keyword(s):  
Current Population Survey ◽  
Population Survey ◽  
Census Bureau ◽  
Community Survey ◽  
American Community Survey ◽  
Annual Business ◽  
Data Products ◽  
Business Survey ◽  
The Impact ◽  
Existing Data

We provide an overview of Census Bureau activities to enhance the consistency, timeliness, and relevance of our data products in response to the COVID-19 pandemic. We highlight new data products designed to provide timely and granular information on the pandemic's impact: the Small Business Pulse Survey, weekly Business Formation Statistics, the Household Pulse Survey, and Community Resilience Estimates. We describe pandemic-related content introduced to existing surveys such as the Annual Business Survey and the Current Population Survey. We discuss adaptations to ensure the continuity and consistency of existing data products such as principal economic indicators and the American Community Survey.

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