data request
Recently Published Documents


TOTAL DOCUMENTS

51
(FIVE YEARS 23)

H-INDEX

5
(FIVE YEARS 2)

Author(s):  
Haley S. Friedler ◽  
Michelle B. Leavy ◽  
Eric Bickelman ◽  
Barbara Casanova ◽  
Diana Clarke ◽  
...  

Executive Summary Patient registries are important tools for advancing research, improving healthcare quality, and supporting health policy. Registries contain vast amounts of data that could be used for new purposes when linked with other sources or shared with researchers. This toolkit was developed to summarize current best practices and provide information to assist registries interested in sharing data. The contents of this toolkit were developed based on review of the literature, existing registry practices, interviews with registries, and input from key stakeholders involved in the sharing of registry data. While some information in this toolkit may be relevant in other countries, this toolkit focuses on best practices for sharing data within the United States. Considerations related to data sharing differ across registries depending on the type of registry, registry purpose, funding source(s), and other factors; as such, this toolkit describes general best practices and considerations rather than providing specific recommendations. Finally, data sharing raises complex legal, regulatory, operational, and technical questions, and none of the information contained herein should be substituted for legal advice. The toolkit is organized into three sections: “Preparing to Share Data,” “Governance,” and “Procedures for Reviewing and Responding to Data Requests.” The section on “Preparing to Share Data” discusses the role of appropriate legal rights to further share the data and the need to follow all applicable ethical regulations. Registries should also prepare for data sharing activities by ensuring data are maintained appropriately and developing policies and procedures for governance and data sharing. The “Governance” section describes the role of governance in data sharing and outlines key governance tasks, including defining and staffing relevant oversight bodies; developing a data request process; reviewing data requests; and overseeing access to data by the requesting party. Governance structures vary based on the scope of data shared and registry resources. Lastly, the section on “Procedures for Reviewing and Responding to Data Requests” discusses the operational steps involved in sharing data. Policies and procedures for sharing data may depend on what types of data are available for sharing and with whom the data can be shared. Many registries develop a data request form for external researchers interested in using registry data. When reviewing requests, registries may consider whether the request aligns with the registry’s mission/purpose, the feasibility and merit of the proposed research, the qualifications of the requestor, and the necessary ethical and regulatory approvals, as well as administrative factors such as costs and timelines. Registries may require researchers to sign a data use agreement or other such contract to clearly define the terms and conditions of data use before providing access to the data in a secure manner. The toolkit concludes with a list of resources and appendices with supporting materials that registries may find helpful.


2021 ◽  
Author(s):  
Susniwati

Bandung is one of 4 (four) districts in West Java that have received Universal Health Coverage (UHC) with more than 95% participation as of January 1, 2018. In the implementation of the JKN program in Bandung, there are still some obstacles, namely collaboration between the main actors of the program has not been implemented and the lack of information socialization to the community. The purpose of this article is to analyze collaborative governance in the implementation of the JKN program in Bandung. The research method used is a descriptive method with a qualitative approach. Data collection techniques using observation, in-depth interviews, and documentation study. The results of research on collaborative governance in the implementation of the JKN program in Bandung on the dimensions of the context system that houses the JKN Program in Bandung. The implementation of the JKN program in Bandung requires improving accountability function and role sharing between various sectors involved. The dimensions of the collaborative governance regime consist of the dynamics of collaboration and collaboration action between the relevant stack holders. Collaboration between stakeholders has not been optimal, there is still a lot of obscurity in the data request process. Collaboration between stakeholders is difficult due to the fragmentation of national, regional, and health systems. The third dimension of collaboration dynamics consisting of 3 (three) components namely principle engagement, shared motivation, and capacity for joint action needs to improve information socialization so that the equalization of health services through the JKN program can be implemented to the maximum.


2021 ◽  
Author(s):  
Bohan Hou

The digital economy has become one of the most important sectors in global GDP.Personal data is the new asset class that creates value through the applications ofcybertechnologies and Artificial Intelligence. However, there are increasing concerns over the privacy invasions and human rights violations associated with the exploitation ofpersonal data.Various data laws were made in nations to balance the data fluidity and privacy protections. However, most laws have inherent limitations and underenforcement issuesthat fail to achieve their aims and protection principles. Utilizing a behavioral economics theoretical framework, this study categorizes the issues and causes to InformationAsymmetry, Bounded Rationality, Power Imbalance, and Technical Incapacity.The study makes a novel contribution by proposing a global data governance scheme to address the limitations of data laws. The scheme adopts a Libertarian Paternalism approach and develops seven principles in the framework design. Elements and components in the scheme include individuals, data controllers, privacy rating frameworks, meta-data and privacy configuration, reports, Automated Consent Management (ACM), Bureaus, and signatures, etc. The components will operate on an interoperable and global data management platform. Visual diagrams are developed to describe the various forms of interactions between components and procedures.A balance between privacy protection and data fluidity is found through experimental scenarios such as Ordinary Data Request, Sensitive Data Request, Inconsistency Checks, Data Rights Exercise, Monitored Data Transfer, Broadcast and Notice. The scenarios analyzed are not exhaustive but serve as the meaningful startingpoint to inspire more designs and discussions from scholars.


2020 ◽  
Vol 8 (11) ◽  
pp. 279-284
Author(s):  
Susniwati, M.Si. ◽  
◽  
Sri Suwitri, M.Si. ◽  
Endang Larasati , M.S. ◽  
Hartuti Purnaweni , M.Si ◽  
...  

Bandung is one of 4 (four) districts in West Java that have received Universal Health Coverage (UHC) with more than 95% participation as of January 1, 2018. In the implementation of the JKN program in Bandung, there are still some obstacles, namely collaboration between the main actors of the program has not been implemented and the lack of information socialization to the community. The purpose of this article is to analyze collaborative governance in the implementation of the JKN program in Bandung. The research method used is a descriptive method with a qualitative approach. Data collection techniques using observation, in-depth interviews, and documentation study. The results of research on collaborative governance in the implementation of the JKN program in Bandung on the dimensions of the context system that houses the JKN Program in Bandung. The implementation of the JKN program in Bandung requires improving accountability function and role sharing between various sectors involved. The dimensions of the collaborative governance regime consist of the dynamics of collaboration and collaboration action between the relevant stack holders. Collaboration between stakeholders has not been optimal, there is still a lot of obscurity in the data request process. Collaboration between stakeholders is difficult due to the fragmentation of national, regional, and health systems. The third dimension of collaboration dynamics consisting of 3 (three) components namely principle engagement, shared motivation, and capacity for joint action needs to improve information socialization so that the equalization of health services through the JKN program can be implemented to the maximum.


2020 ◽  
Vol 8 (11) ◽  
pp. 1012-1017
Author(s):  
Susniwati M.Si ◽  
◽  
Sri Suwitri M.Si ◽  
Endang Larasati M.S ◽  
Hartuti Purnaweni M.Si ◽  
...  

Bandung is one of 4 (four) districts in West Java that have received Universal Health Coverage (UHC) with more than 95% participation as of January 1, 2018. In the implementation of JKN program in Bandung, there are still some obstacles, namely collaboration between the main actors of the program has not been implemented and the lack of information socialization to the community. The purpose of this article is to analyze collaborative governance in the implementation of JKN program in Bandung. The research method used is a descriptive method with a qualitative approach. Data collection techniques using observation, in depth interview and documentation study. The results of research on collaborative governance in the implementation of JKN program in Bandung on the dimensions of the context system that houses the JKN Program in Bandung. The implementation of JKN program in Bandung requires improving accountability function and role sharing between various sectors involved. The dimensions of the collaborative governance regime consist of the dynamics of collaboration and collaboration action between the relevant stack holders. Collaboration between stakeholders has not been optimal, there is still a lot of obscurity in the data request process. Collaboration between stakeholders is difficult due to the fragmentation of national, regional, and health systems. The third dimension of collaboration dynamics consisting of 3 (three) components namely principle engagement, shared motivation and capacity for joint action needs to improve information socialization so that the equalization of health services through JKN program can be implemented to the maximum.


2020 ◽  
Author(s):  
Martin Schupfner ◽  
Fabian Wachsmann

<p>CMIP6 defines a data standard as well as a data request (DReq) in order to facilitate analysis across results from different climate models. For most model output, post-processing is required to make it CMIP6 compliant. The German Federal Ministry of Education and Research (BMBF) is funding a project [1] providing services which help with the production of quality-assured CMIP6 compliant data according to the DReq. </p><p> </p><p>In that project, a web-based GUI [2] has been developed which guides the modelers through the different steps of the data post-processing workflow, allowing to orchestrate the aggregation, diagnostic and standardizing of the model data in a modular manner. Therefor the website provides several functionalities:<br>1. A DReq generator, based on Martin Juckes’ DreqPy API [3], can be used to tailor the DReq according to the envisaged experiments and supported MIPs. Moreover, the expected data volume can be calculated.</p><p>2. The mapping between variables of the DReq and of the raw model output can be specified. These specifications (model variable names, units, etc.) may include diagnostic algorithms and are stored in a database. </p><p>3. The variable mapping information can be retrieved as a mapping table (MT). Additionally, this information can be used to create post-processing script fragments. One of the script fragments contains processing commands based on the diagnostic algorithms entered into the mapping GUI, whereas the other rewrites the (diagnosed) data in a CMIP6 compliant format. Both script fragments use the CDO tool kit [4] developed at the Max Planck Institute for Meteorology, namely the CDO expr and cmor [5] operators. The latter makes use of the CMOR3 library [6] and parses the MT. The script fragments are meant to be integrated into CMIP6 data workflows or scripts. A template for such a script, that allows for a modular and flexible process control of the single workflow steps, will be included when downloading the script fragments.</p><p>4. User specific metadata can be generated, which supply the CDO cmor operator with the required and correct metadata as specified in the CMIP6 controlled vocabulary (CV).</p><p> </p><p>[1] National CMIP6 Support Activities. https://www.dkrz.de/c6de , last access 9.1.2020.</p><p>[2] Martin Schupfner (2018): CMIP6 Data Request WebGUI. https://c6dreq.dkrz.de/ , last access 9.1.2020.</p><p>[3] Martin Juckes (2018): Data Request Python API. Vers. 01.00.28. http://proj.badc.rl.ac.uk/svn/exarch/CMIP6dreq/tags/latest/dreqPy/docs/dreqPy.pdf , last access 9.1.2020.  </p><p>[4] Uwe Schulzweida (2019): CDO User Guide. Climate Data Operators. Vers. 1.9.8. https://code.mpimet.mpg.de/projects/cdo/embedded/cdo.pdf , last access 9.1.2020.</p><p>[5] Fabian Wachsmann (2017): The cdo cmor operator. https://code.mpimet.mpg.de/attachments/19411/cdo_cmor.pdf , last access 9.1.2020.</p><p>[6] Denis Nadeau (2018): CMOR version 3.3. https://cmor.llnl.gov/pdf/mydoc.pdf , last access 9.1.2020.</p>


Sign in / Sign up

Export Citation Format

Share Document