scholarly journals The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Kiran Pohar Manhas ◽  
Xinjie Cui ◽  
Suzanne C Tough
Keyword(s):  
Information Sharing ◽  
Data Sharing ◽  
Secondary Analysis ◽  
Primary Data ◽  
Secondary Users ◽  
Share Data ◽  
Using Data ◽  
One Year ◽  
Service Data ◽  
Document Review

IntroductionInnovative data platforms (e.g. biobanks, repositories) continually emerge to facilitate data sharing. Extant and emerging data platforms must navigate myriad tensions for successful data sharing and re-use. Two Alberta data platforms navigated such processes and factors regarding administrative, research and nonprofit data: the Child & Youth Data Laboratory (CYDL) and Secondary Analysis to Generate Evidence (SAGE). ObjectivesTo clarify the social and policy factors that influenced CYDL and SAGE establishment and implementation, and the relationships, if any, between these factors and data type. MethodsThis paper involves a qualitative secondary analysis of two developmental evaluations on CYDL and SAGE establishment. Six-years post-implementation, the CYDL evaluation entailed document review; website user analysis; informant interviews (n=30); online stakeholder survey (n=260); and an environmental scan. One-year post implementation, the SAGE evaluation included 15 interviews and document review. We used thematic analysis and comparisons with the literature to identify key factors. ResultsThree (not mutually exclusive) categories of social and policy factors influenced the navigation towards CYDL and SAGE realization: trusting relationships; sustainability amidst readiness; and privacy within social context. For these platforms to be able to manage, link or share data, trust had to be fostered and maintained across multiple, dynamic and intersecting relationships between primary data producers, data subjects, secondary users and institutions. Platform sustainability and readiness required capacity building and innovation. Privacy and information sharing evolved culturally and correspondingly for these data platforms, which required constant flexibility and awareness. ConclusionsThis commentary calls for more empirical research on the value of data re-use or the detriment in not re-using data. While the culture of information sharing is progressing towards greater openness and capacity for data sharing and re-use, successful data platforms must advocate, facilitate and mobilize analysis and innovation using data re-use while being cognizant of social and policy influences.

scholarly journals COVID-19 trials: declarations of data sharing intentions at trial registration and at publication

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Rebecca Li ◽  
Megan von Isenburg ◽  
Marcia Levenstein ◽  
Stan Neumann ◽  
Julie Wood ◽  
...  
Keyword(s):  
Data Sharing ◽  
Secondary Analysis ◽  
Trial Data ◽  
Trial Registration ◽  
Link Type ◽  
Global Pandemic ◽  
Level Data ◽  
Share Data ◽  
Individual Participant ◽  
Effective Treatments

Abstract Background The sharing of individual participant-level data from COVID-19 trials would allow re-use and secondary analysis that can help accelerate the identification of effective treatments. The sharing of trial data is not the norm, but the unprecedented pandemic caused by SARS-CoV-2 may serve as an impetus for greater data sharing. We sought to assess the data sharing intentions of interventional COVID-19 trials as declared in trial registrations and publications. Methods We searched ClinicalTrials.gov and PubMed for COVID-19 interventional trials. We analyzed responses to ClinicalTrials.gov fields regarding intent to share individual participant level data and analyzed the data sharing statements in eligible publications. Results Nine hundred twenty-four trial registrations were analyzed. 15.7% were willing to share, of which 38.6% were willing to share immediately upon publication of results. 47.6% declared they were not willing to share. Twenty-eight publications were analyzed representing 26 unique COVID-19 trials. Only seven publications contained data sharing statements; six indicated a willingness to share data whereas one indicated that data was not available for sharing. Conclusions At a time of pressing need for researchers to work together to combat a global pandemic, intent to share individual participant-level data from COVID-19 interventional trials is limited.

Modelling suicide risk in affective disorders

2001 ◽  
Vol 16 (7) ◽  
pp. 400-405 ◽  
Author(s):  
A.P. Boardman ◽  
D. Healy
Keyword(s):  
Affective Disorders ◽  
Psychiatric Morbidity ◽  
Secondary Analysis ◽  
Lifetime Prevalence ◽  
Primary Data ◽  
Community Based ◽  
Data Set ◽  
Affective Psychosis ◽  
Lifetime Prevalence Rate ◽  
Using Data

SummaryBackgroundThe lifetime risk of suicide in affective disorders is commonly quoted as 15%. This stems from hospital populations of affective disorders.AimsTo model the lifetime prevalence of suicide using data on completed suicides from one English Health District and community-based rates of prevalence of affective disorders.MethodsA secondary analysis of a primary data set based on 212 suicides in North Staffordshire was undertaken. The population rates of psychiatric morbidity were obtained from the National Comorbidity Survey.ResultsThe model suggests a lifetime prevalence rate of suicide for any affective disorder at 2.4%, with a rate for those uncomplicated by substance abuse, personality disorder or non-affective psychosis at 2.4%, and a rate for uncomplicated cases who had no mental health service contact at 1.1%.ConclusionsLifetime prevalence rates of suicide in subgroups of affective disorders may be lower than the traditional rates cited for hospital depression. This has implications for primary care projects designed to investigate the occurrence of and the prevention of suicide.

scholarly journals Re-use of trial data in the first 10 years of the data-sharing policy of the Annals of Internal Medicine: a survey of published studies

2020 ◽  
Author(s):  
Claude Pellen ◽  
Laura Caquelin ◽  
Alexia Jouvance-Le Bail ◽  
Jeanne Gaba ◽  
Mathilde Vérin ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Data Sharing ◽  
Primary Outcome ◽  
Meta Analysis ◽  
Secondary Analysis ◽  
Primary Analysis ◽  
Share Data ◽  
Recherche Médicale ◽  
Secondary Outcomes ◽  
The Impact

ABSTRACTBackgroundThe Annals of Internal Medicine (AIM) has adopted a policy encouraging data-sharing since 2007.ObjectiveTo explore the impact of the AIM data-sharing policy for randomized controlled trials (RCTs) in terms of output from data-sharing (i.e. publications re-using the data).DesignRetrospective study.SettingAIM.ParticipantsRCTs published in the AIM between 2007 and 2017 were retrieved on PubMed. Publications where the data had been re-used were identified on Web of Science. Searches were performed by two independent reviewers.InterventionsIntention to share data (or not) expressed in a data-sharing statement.MeasurementsThe primary outcome was any published re-use of the data (i.e. re-analysis, secondary analysis, or meta-analysis of individual participant data [MIPD]), where the first, last and corresponding authors were not among the authors of the RCT. Components of the primary outcome and analyses without any author restriction were secondary outcomes. Analyses used Cox (primary analysis) models adjusting for RCT characteristics.Results185 RCTs were identified. 106 (57%) mentioned willingness to share data and 79 (43%) did not. 208 secondary analyses, 67 MIPD and no re-analyses were identified. No significant association was found between intent to share and re-use where the first, last and corresponding authors were not among the authors of the primary RCT (adjusted hazard ratio = 1.04 [0.47-2.30]). Secondary outcomes also showed no association between intent to share and re-use.LimitationsPossibility of residual confounding and limited power.ConclusionOver ten years, RCTs published in AIM expressing an intention to share data were not associated with more extensive re-use of the data.Registrationhttps://osf.io/8pj5e/Funding SourceGrants from the Fondation pour la Recherche Médicale, Région Bretagne, and French National Research Agency.

scholarly journals Credit Information Sharing Practices and Financial Performance of Commercial Banks in Kenya

2019 ◽  
Vol 3 (VI) ◽  
pp. 67-82
Author(s):  
Felix Ouma Odhiambo ◽  
Fredrick Ndede
Keyword(s):  
Financial Performance ◽  
Information Sharing ◽  
Data Sharing ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Banking Sector ◽  
Secondary Data ◽  
Target Population ◽  
Primary Data ◽  
Loan Default

The banking sector in Kenya suffered increased non-performing credits which prompted collapse of certain banks with an upsurge of loan defaulters. This was mainly attributed to the continued information asymmetry in the industry because of absence of a credit data sharing component. Commercial banks in Kenya have continued to encounter a number of challenges in obtaining information on customers’ payment history that helps guide on determining their ability to access and re-pay loan advancements. This has made more commercial banks to subscribe to credit reference bureaus since its establishment in 2008. As a result, commercial banks in Kenya have been experiencing high rates of Non-Performing Loans advanced to customers. The general objective of the study was to determine the effect of credit information sharing practices on financial performance of commercial bank in Kenya. The study specific objectives were to determine the effect of information accuracy, volume of lending and customer credit reports on financial performance of commercial bank in Kenya. The study was anchored by adverse selection theory, moral hazard theory and asymmetry theory. The researcher used a descriptive research design. The target population was five banks within Nairobi County including KCB, Equity Bank, Family Bank, Cooperative Bank and Barclays Bank. Primary data was collected using questionnaires and secondary data using financial statements of the commercial banks performance for the past 5 years. Data was analysed using descriptive statistics and inferential statistics. The study found that information accuracy, volume of lending and customer credit reports were positively and significantly related to the financial performance of the commercial banks. The study concludes that information accuracy increases the banks ' understanding of the applicants’ features and allows a more precise forecast of their probabilities of repayment, it decreases the information rents that banks could otherwise obtain from their clients and it can function as a borrower discipline tool. Lending volume enhances business banks ' enhanced operations, which in turn leads to banks’ enhanced economic results. Sharing of credit information has made commercial banks grant more loans on the basis of their reputation to deserving clients, thereby improving their profitability. When extensive consumer credit history information are easily accessible, it considerably decreases the cost of entering loan markets for fresh lenders, enhances competition and lowers credit rates. The research recommends that for enhanced results, all financial institutions in Kenya need to protect the precision of their platforms for data sharing. Regular site visits should offer credibility to the precision of the borrowers’ data. The data supplied by CRB should be used efficiently by commercial banks to lend to prospective borrowers. Only borrowers with a strong history of credit should be permitted access to the loans. The research also proposes that Kenya's commercial banks should base credit awards on the borrowers’ reputational assets, ensuring that the loan default rate is small, thus enhancing commercial bank performance.

scholarly journals Enhancing Healthcare Information Sharing with Blockchain Technology

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Tod D. Yates
Keyword(s):  
Information Sharing ◽  
Data Sharing ◽  
Health Data ◽  
Medical Data ◽  
Healthcare Information ◽  
Blockchain Technology ◽  
Share Data ◽  
To Receive ◽  
The Way

Blockchain, the foundation of many cryptocurrencies, also can be useful for many other industries such as healthcare. Blockchain can enforce immutability and non-repudiation for information stored on it. Although some say the technology is not yet mature enough, others are putting blockchain to the test with programs and pilots. Examining these efforts and dissecting the detail allows us to look at blockchain’s qualities and pitfalls to allow data sharing efforts with medical records.It is widely agreed that sharing medical data outside of the silos where it is captured or created will benefit the individual’s care and outcomes. Regulation and personal humility often stand in the way of this sharing. Blockchain is offering new and novel ways to share data properly and securely with only the providers or researchers who are supposed to receive it. Blockchain is also allowing the patient to take control of their health data and in some cases, even profit from it. This is the concept behind a proposal by the author to allow a patient to share all or part of their data for research and to be justly compensated for that sharing.

‘Sometimes you need to think outside their boxes’: An Examination of the Voice of Black Minority Ethnic Women in Post-Devolution Scotland

2014 ◽  
Vol 23 (4) ◽  
pp. 419-444
Author(s):  
Josephine Casserly
Keyword(s):  
Qualitative Interviews ◽  
Secondary Analysis ◽  
Third Sector ◽  
Political Life ◽  
Primary Data ◽  
Political Processes ◽  
Focus Group Data ◽  
Feminist Theories ◽  
The Voice ◽  
Minority Ethnic

This article explores the voice of black minority ethnic (BME) women in devolved Scotland. Particular attention is given to examining multicultural policies and devolved political processes and how these impact on the position of BME women in the political life of Scotland. The study is based on secondary analysis of existing survey and focus group data, and primary data drawn from qualitative interviews conducted with a sample of respondents from political and non-governmental organisations. Drawing on feminist theories of multiculturalism, culture is perceived as dynamic and contested and the research depicts BME women as agents engaged in shaping Scotland and their own cultures. The findings show that devolution has created a political opportunity structure more favourable to the voices of BME women. However, this voice remains quiet and is limited by barriers within and outside of BME communities. The research also highlights the role of third sector organisations in enabling the voice of BME women. The author concludes by arguing that successive devolved governments’ promotion of multiculturalism in Scotland has benefited BME women but with important limitations.

STRATEGI MAKSIMALISASI ANGGARAN BELANJA PADA BALAI PENELITIAN DAN PENGEMBANGAN LINGKUNGAN HIDUP DAN KEHUTANAN MANOKWARI

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Arif Hasan ◽  
Dedi Budiman Hakim ◽  
Irdika Mansur
Keyword(s):  
Decision Making ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Fiscal Year ◽  
The Third ◽  
Swot Matrix ◽  
Three Stages ◽  
Using Data

This study aims to analyze causes of the low uptake of the budget and formulate a strategy of maximizing the absorption of expenditure on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Respondents involved are 20 people that consist of: treasury officials and holder output of activity. The data used were secondary data in the form of reports on budget realization (LRA) quarter I, II, III and IV of the fiscal year 2011 to 2015, and the primary data were in the form of interviews with the help of a questionnaire. While the analysis of the data used was descriptive analysis using data tabulation, and the analysis of the three stages strategy of the decision making used IFE and EFE matrix, SWOT matrix and QSPM matrix.The results showed that there are 19 factors causing low of budget absorption until the end of the third quarter, and there were 10 drafts of policy as a strategy for maximizing the absorption of the budget on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.ABSTRAKPenelitian ini bertujuan untuk menganalisis penyebab rendahnya penyerapan anggaran belanja dan merumuskan strategi maksimalisasi penyerapan anggaran belanja pada Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Responden yang terlibat adalah 20 orang yaitu pejabat perbendaharaan dan pemegang output kegiatan. Data yang digunakan adalah data sekunder berupa laporan realisasi anggaran (LRA) triwulan I, II, III dan IV tahun anggaran 2011 sampai 2015, dan data primer berupa wawancara dengan bantuan kuesioner. Sedangkan analisis data yang digunakan adalah analisis deskriptif menggunakan analisis tabulasi, dan analisis analisis strategi tiga tahap pengambilan keputusan menggunakan matriks IFE dan EFE, matriks SWOT dan matriks QSPM. Hasil penelitian menunjukkan bahwa terdapat 19 faktor penyebab rendahnya penyerapan anggaran belanja sampai akhir triwulan III, dan terdapat 10 rancangan kebijakan sebagai strategi maksimalisasi penyerapan anggaran belanja di Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.

PROFITABILITY ANALYSIS OF TERUBUK FARMING (SACCHARUM EDULE HASSKARL) IN SUBDISTRICT TOSA DISTRICT OF EAST TIDORE OF TIDORE ISLAND

2018 ◽  
Author(s):  
Suwandi S. Sangadji
Keyword(s):  
Data Collection ◽  
Research Method ◽  
Quantitative Method ◽  
Secondary Data ◽  
Primary Data ◽  
Profitability Analysis ◽  
Sample Method ◽  
Document Review ◽  
Revenue Production

The purpose of this researchment is to ascertain how wide the farming of species Saccharun Edule Hasskarl (terubuk) in sub district Tosa, district of East Tidore of Tidore Island through the indicator of the value revenue, production and selling prices so that the farmers will achieve The Break Event Point (BEP). The research method was used a quantitative method with the number of samples of 30 people. The determination of the sample method is using the census method or involving all members of the population into a sample of researchment. The secondary data collection was done by using library literature in the form of document review and relevant references to research object while primary data collection was done by using questionnaire. The data is using equation R /C Ratio, BEP Revenue, BEP Price, and BEP Production. Therefore from the results of the researchment it can be explained that the two of the thirty farmers come through the break event point, while the other twenty-eight farmers declared having a business that worth to be develop or experiencing profit, because the R/C ratio is above 1.0 with average profit reach Rp. 989.000, - per production / farmer.

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

scholarly journals Towards BIM-Enhanced Renovation Management Tools with Support to Stakeholder Interaction

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 15
Author(s):  
Seppo Törmä ◽  
Markku Kiviniemi ◽  
Rita Lavikka ◽  
Spiros Kousouris ◽  
Kostas Tsatsakis
Keyword(s):  
Information Sharing ◽  
Data Sharing ◽  
Linked Data ◽  
Management Tool ◽  
Management Tools ◽  
Planning And Management ◽  
Stakeholder Interaction ◽  
Coordination Tool

This paper presents two renovation management tools that are currently being developed in BIM4EEB project: BIMPlanner—a planning and management tool for housing renovation projects —and BIM4Occupants—a coordination tool between contractors and occupants. An information-sharing layer, based on ontologies and linked data technologies, is an essential technical enabler of these tools. The layer allows data sharing across the different components of the toolkit. The tools aim to enhance information sharing between renovation stakeholders and to enrich BIM data with links to other relevant data in renovation projects.

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