Relevant bibliographies by topics / Data strategy development

Academic literature on the topic 'Data strategy development'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Data strategy development"

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Roller, Sarah A., Elizabeth P. Cunningham, and Katherine Ariemma Marin. "Capturing Disappearing Data and Strategy Development." Teaching Children Mathematics 25, no. 6 (April 2019): 382–83. http://dx.doi.org/10.5951/teacchilmath.25.6.0382.

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Jesse, Norbert. "Data Strategy and Data Trust – Drivers for Business Development." IFAC-PapersOnLine 54, no. 13 (2021): 8–12. http://dx.doi.org/10.1016/j.ifacol.2021.10.409.

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Perwitasari, Fitri Dian, Bastoni Bastoni, and Bayu Arisandi. "BUSINESS DEVELOPMENT STRATEGY OF SHEEP IN CIREBON REGENCY." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 4, no. 2 (October 14, 2020): 281–88. http://dx.doi.org/10.14710/agrisocionomics.v4i2.4631.

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The purpose of this study is to find out what alternative strategies are needed in the development of sheep business that are suitable to be applied in Cirebon Regency, which are expected to have implications for increasing sheep productivity and welfare of farmers. The location of the study was carried out in Cirebon Regency, from March to August 2018. The research method was a survey method to collect primary data from respondents and secondary data. The study sample was determined randomly as many as 43 farmers from three PUSKESWAN regions in Cirebon Regency. Data analysis uses internal environment analysis, external environment analysis, and SWOT analysis. The results of the SWOT matrix analysis are in quadrant II where this stage can grow and be fostered. This business can experience good growth if 1) strengthen the function and role of the group, 2) sheep breeders get continuous guidance and guidance both about the technical, introduction of appropriate technology and marketing from Government Agencies, especially the Agriculture and Livestock Services, Universities and private parties.
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Shen, Tuofu. "Research on economic development strategy based on big data." E3S Web of Conferences 235 (2021): 03080. http://dx.doi.org/10.1051/e3sconf/202123503080.

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Since the 21st century, data has grown exponentially, and the world has entered the era of big data. In the era of big data, the core assumptions and research methods of economics have changed, and data-driven development paradigm has gradually become the main development paradigm of economics. From the perspective of economics and economics, this paper expounds the impact of economics, economics and Economics on the development of data driven models. The research in this paper is conducive to in-depth understanding of the development and changes of economics in the era of big data, and can promote the public to better participate in economic activities and understand the operation of market economy in the information age.
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Sun, Jiulin, Denghua Li, Shiwei Xu, Wenbin Wu, and Yaping Yang. "Development Strategy of Agricultural Big Data and Information Infrastructure." Chinese Journal of Engineering Science 23, no. 4 (2021): 10. http://dx.doi.org/10.15302/j-sscae-2021.04.002.

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Weng, Wei-Hsiu, and Woo-Tsong Lin. "Development Trends and Strategy Planning in Big Data Industry." Contemporary Management Research 10, no. 3 (September 28, 2014): 203–14. http://dx.doi.org/10.7903/cmr.12288.

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Hobson, A. J., B. T. Neilson, N. von Stackelberg, M. Shupryt, J. Ostermiller, G. Pelletier, and S. C. Chapra. "Development of a Minimalistic Data Collection Strategy for QUAL2Kw." Journal of Water Resources Planning and Management 141, no. 8 (August 2015): 04014096. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000488.

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Commons, Michael Lamport. "Commentary on a new model for strategy development for strategy development combining categorical data analysis with growth modeling." Behavioral Development Bulletin 19, no. 3 (September 2014): 22–23. http://dx.doi.org/10.1037/h0100585.

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Gunawan, Diah Setyorini, Neni Widayaningsih, and Barokatuminalloh Barokatuminalloh. "The Strategy Development of SMEs Metal." JEJAK 10, no. 1 (March 10, 2017): 121–37. http://dx.doi.org/10.15294/jejak.v10i1.9131.

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This research aimed to identify the profile of SMEs metal and to analyze the predictors that differentiate the performance achievement of metalworkers in Pasir Wetan Village, Karanglewas Sub-District, Banyumas Regency using primary data obtained from direct interviews with metalworkers in Pasir Wetan Village, Karanglewas Sub-District, Banyumas Regency. Primary data included the data of net income rate, the amount of labor used, the amount of bank credit received, business duration, education level, and the amount of production. The data were analyzed using descriptive analysis and discriminant analysis. The analysis results indicated that the increase in the amount of production and the amount of labor used were the predictors that differentiate the revenue achievement between superior metalworkers group and non-superior metalworkers group. In addition, the amount of production was the best predictor to differentiate the revenue achievement between superior metalworkers group and non-superiors metalworker group.
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Li, Na, and Dongqin Lv. "Development Strategy of International Service Trade Based on Big Data." Journal of Physics: Conference Series 1852, no. 2 (April 1, 2021): 022016. http://dx.doi.org/10.1088/1742-6596/1852/2/022016.

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Dissertations / Theses on the topic "Data strategy development"

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Al-Shahrani, Abdullah M. R. "Towards the development of a strategy for a national spatial data infrastructure." Thesis, University of Nottingham, 2002. http://eprints.nottingham.ac.uk/11010/.

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In today's world of ever advancing technology the time is precisely right for investment in the development and implementation of a national spatial data infrastructure. This implies that all spatial data presently scattered in different departments and organisations are coordinated and shared. In the Kingdom of Saudi Arabia there are a number of different mapping and Geographic Information System (GIS) activities being implemented within various government organisations, each with its own merits. Certain research and pilot projects have also been carried out aiming to provide help and recommendations with regard to spatial data sharing and to promote awareness of the importance of spatial data to the Kingdom's development. However, there is an urgent need for a consolidation of effort to avoid the costly mistake of duplication of work; hence the need for a unified national spatial data infrastructure. This research aims to develop a conceptual framework for a strategy for a national spatial data infrastructure (SNSDI) including its main components. A proposal is presented for a Saudi national spatial data infrastructure (which happens to have the same abbreviation - SNSDI) to consolidate isolated mapping and spatial data efforts in the Kingdom of Saudi Arabia in place of the current practice of each agency acting independently. This research project will hopefully provide a leadership role in developing a Kingdom-wide spatial data infrastructure.
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Wilberg, Julian [Verfasser]. "From data to value: facilitating strategy development for connected products / Julian Wilberg." München : Verlag Dr. Hut, 2020. http://d-nb.info/1219475327/34.

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Kachura, Maryna Serhiivna, and Марина Сергіївна Качура. "Data journalism as a factor of sustainable city development." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50062.

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1. Analytical Report 4: Open Data in Cities [Electronic resource] - Resource access mode:https://www.europeandataportal.eu/sites/default/files/edp_analytical_ report_n4_-_open_data_in_cities_v1.0_final.pdf. 2. S. Rachynsky. Database journalism: a fashion trend or the future of the profession? [Electronic resource] / S. Rachynsky - Mode of access to the resource:http://newmedia.in.ua/articles/business/zhurnalistika-baz-dannyx-modnyjtrend-ili-budushhee-professii.html 3. We are implementing the first in Ukraine standard of open data for state regulatory authorities [Electronic resource] - Mode of access to the resource: https:// datajournalism.agency/3/ 4. The Global Open Data Index (GODI) [Electronic resource] - Resource access mode: https://index.okfn.org/place/ua/. 5. Repairs of Ternopil [Electronic resource] // texty.org. - Mode of access to the resource: https://texty.org.ua/d/2018/ternopil/ 6. “Vinnytsia Municipal”: How quickly city services respond to telephone calls [Electronic resource] - Mode of access to the resource: https://texty.org.ua/d/ varta_vin/.
The relevance of the study of the impact of journalistic investigations based on information from open data portals is due to e-government reforms in Ukraine, which oblige the authorities at the national and local levels to publish data on their activities in the open. The aim of the work is to outline the importance of the media, which collect and analyze published data and thus become a tool for interaction between society and local authorities.
Актуальність дослідження впливу журналістських розслідувань на основі інформації з порталів відкритих даних зумовлена ​​реформами електронного урядування в Україні, які зобов’язують органи влади на національному та місцевому рівнях публікувати дані про свою діяльність у відкритому доступі. Метою роботи є окреслити важливість засобів масової інформації, які збирають та аналізують опубліковані дані і таким чином стають інструментом взаємодії між суспільством та місцевою владою.
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Rifaie, Mohammad. "Strategy and methodology for enterprise data warehouse development : integrating data mining and social networking techniques for identifying different communities within the data warehouse." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4416.

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Data warehouse technology has been successfully integrated into the information infrastructure of major organizations as potential solution for eliminating redundancy and providing for comprehensive data integration. Realizing the importance of a data warehouse as the main data repository within an organization, this dissertation addresses different aspects related to the data warehouse architecture and performance issues. Many data warehouse architectures have been presented by industry analysts and research organizations. These architectures vary from the independent and physical business unit centric data marts to the centralised two-tier hub-and-spoke data warehouse. The operational data store is a third tier which was offered later to address the business requirements for inter-day data loading. While the industry-available architectures are all valid, I found them to be suboptimal in efficiency (cost) and effectiveness (productivity). In this dissertation, I am advocating a new architecture (The Hybrid Architecture) which encompasses the industry advocated architecture. The hybrid architecture demands the acquisition, loading and consolidation of enterprise atomic and detailed data into a single integrated enterprise data store (The Enterprise Data Warehouse) where businessunit centric Data Marts and Operational Data Stores (ODS) are built in the same instance of the Enterprise Data Warehouse. For the purpose of highlighting the role of data warehouses for different applications, we describe an effort to develop a data warehouse for a geographical information system (GIS). We further study the importance of data practices, quality and governance for financial institutions by commenting on the RBC Financial Group case. v The development and deployment of the Enterprise Data Warehouse based on the Hybrid Architecture spawned its own issues and challenges. Organic data growth and business requirements to load additional new data significantly will increase the amount of stored data. Consequently, the number of users will increase significantly. Enterprise data warehouse obesity, performance degradation and navigation difficulties are chief amongst the issues and challenges. Association rules mining and social networks have been adopted in this thesis to address the above mentioned issues and challenges. We describe an approach that uses frequent pattern mining and social network techniques to discover different communities within the data warehouse. These communities include sets of tables frequently accessed together, sets of tables retrieved together most of the time and sets of attributes that mostly appear together in the queries. We concentrate on tables in the discussion; however, the model is general enough to discover other communities. We first build a frequent pattern mining model by considering each query as a transaction and the tables as items. Then, we mine closed frequent itemsets of tables; these itemsets include tables that are mostly accessed together and hence should be treated as one unit in storage and retrieval for better overall performance. We utilize social network construction and analysis to find maximum-sized sets of related tables; this is a more robust approach as opposed to a union of overlapping itemsets. We derive the Jaccard distance between the closed itemsets and construct the social network of tables by adding links that represent distance above a given threshold. The constructed network is analyzed to discover communities of tables that are mostly accessed together. The reported test results are promising and demonstrate the applicability and effectiveness of the developed approach.
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Švec, Richard. "Zhodnocení stavu systému Business Intelligence a návrhy na jeho zlepšení." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264581.

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This thesis analyzes the situation in the area of Business Intelligence at O2 Czech Republic. It focuses on identifying key issues and finding solutions to the overall improvement of the service within the company. It can be a guide for managers on how to proceed in the analysis of the BI environment, finding opportunities for improving organization setup and technical aspects, especially in the data warehouse solution. Here one can also find recommendations on how to proceed with the definition of development methodologies and how to effectively set the tools and processes associated with the development of the data warehouse. This approach results in an efficient, clearly documented and sustainable development concept of the data warehouse in a large company.
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Olofsson, Louise. "Sustainable and scalable testing strategy in a multilayered service-based architecture." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80134.

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This thesis examines and evaluates whether it is possible to measure the quality of a software project and introduces a metric that will evaluate if the quality of every test performed when developing software can be measured. This subject is examined because it can be hard to conclude how well a project and all its parts performed, both during implementation and after it is done. To facilitate this need, this thesis provides a possible solution.   To try and answer these questions and meet the needs of this tool a prototype has been developed. The prototype is automated and runs through all the software development tests selected for this project. It sums up the test results and later translates them with the help of a metric to tell its quality grade. The metric is calculated with the help of an arbitrary formula developed for this thesis. Once the metric is concluded the development team working with the project will have an overview of how well each test area is performing and how well the project's end result was. With the help of this metric it is also easier to see if the quality achieved meets the company’s standards and the customer’s wishes. The prototype aims to be sustainable because the solution should last for a long term and also because sustainability means a smoother and more efficient way for developers and other people involved to work with the prototype since not much extra work will be required when updates need to be implemented or other necessary implementations.   The prototype is applied on a second project, which is larger and more advanced than the project created for this thesis, to get a better and accurate understanding if the implementation is correct and if the metric can be used as a value to describe a project. The metric results are compared and evaluated. The results of this thesis conclude a proof-of-concept and can be seen as a first step in a longer evaluation and process in determining the quality of tests. The results conclusion is that more parameters and more weighing of each tests importance are needed in order to achieve a reliable metric result.   This tool is meant to ease and help developers to quickly come to a conclusion about how good the work is. It could also be beneficial for a company with focus on web development and IT-solutions though it will be easier to follow and set a standard for the services they provide.
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Zinas, N. "Development and assessment of a new rover-enhanced network based data processing strategy for Global Navigation Satellite Systems." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19913/.

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Real Time GNSS networks established across countries over the last fifteen years, provide centimetre level accuracy for a wide range of applications differing from precise ship docking to land surveying. Public sector organizations deploy GNSS Networks to support infrastructure projects. Private companies establish their own networks for commercial or private use. The number of users of these networks has steadily increased over the years, and a potential new market has been created. This thesis focuses on the exploitation of the advantages of using multiple users operating within a GNSS network as part of the system, as a virtual network of stations that can operate autonomously and combined with the reference station network. A new network-RTK methodology that encompasses the multiple users of network RTK services for instantaneous positioning, is presented. Users are equipped with a means of two-way communication that enables the data to be transmitted to a central processing facility on an epoch by epoch basis. A centralised approach reduces the need for complex algorithms at the user side. The methodology is tested through the use of data from the South California Integrated GNSS Network (SCIGN) for two different network formations with different numbers of users operating simultaneously. It is shown that regional estimation of relative ionospheric corrections from the proposed methodology has a positive effect on the overall ambiguity resolution success rates when compared to the use of a standard ionospheric model. It is demonstrated that the use of the multiple rovers operating in the network increase the ambiguity success rates for the ones outside the network area by almost 20%. A smaller improvement for rovers near the boundaries of the network is also achieved. Finally, new prospects for regional atmospheric modeling become available, since the algorithm estimates all the double difference ambiguities for the reference station-rover system.
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Timocin, Teoman. "Data Quality in the Interface of Industrial Manufacturing and Machine Learning." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419983.

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Innovations are coming together and are changing business landscapes, markets, and societies. Data-driven technologies form new or increase expectations on products, services, and business processes. Industrial companies must reconstruct both their physical environment and mindset to adapt accordingly successfully. One of the technologies paving the way for data-driven acceleration is machine learning. Machine learning-technologies require a high degree of structured digitalization and data to be functional. The technology has the potential to extract immense value for manufacturers because of its ability to analyse large quantities of data. The author of this thesis identified a research gap regarding how industrial manufacturers need to approach and prepare for machine learning technologies. Research indicated that data quality is one of the significant issues when organisations try to approach the technology. Earlier frameworks on data quality have not yet captured the aspects of manufacturing and machine learning as one. By reviewing data quality frameworks, including machine learning or manufacturing perspectives, the thesis aims to contribute with an area-specific data quality framework in the interface of machine learning and manufacturing. To gain further insights and to complement the current research in the areas, qualitative interviews were conducted with experts on machine learning, data and industrial manufacturing. The study finds that ten different data quality dimensions are essential for industrial manufacturers interested in machine learning. The insights from the framework contribute with knowledge to the data quality research, as well as providing industrial manufacturing companies with an understanding of machine learning data requirements.
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Nilsson, Alexander, and Oscar Andersson. ""If you never try, you'll never know" : En studie om strategisk utveckling och beslutsfattande i detaljhandelsbranschen." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-67078.

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Inledning: Teknologi har förändrat sättet som detaljhandlare gör affärer på ett fundamentalt plan. En av dessa förändringar är framväxten av multi- och omnikanalshandel. I strategiska förändringar sägs både information och verksamhetsstyrningen påverka vilka beslut som fattas. I en värld där produktionen av ny information ökar kraftigt finns svårigheter att veta vilken information som är relevant. Syfte: Syftet med studien är att kartlägga och analysera vilken information som används som beslutsunderlag och vilka "krafter" som drivit den strategiska förändring mot multikanalshandel i detaljhandelsbranschen. Vidare är syftet att undersöka hur verksamhetsstyrningen har använts och påverkat detaljhandelsföretag under den strategiska förändring. Metod: Utifrån studiens forskningsfrågor och syfte valdes en fallstudie som forskningsmetod. Efter genomförd fallstudie gjordes en kompletterande intervjustudie baserat på resultaten i fallstudien. Semistrukturerade intervjuer användes som datainsamlingsmetod. Slutsats: Många olika krafter och informationstyper har drivit förändringen till multikanalshandel. Företagskultur, en föränderlig omgivning och den stora tillgången av information påverkar detaljhandlare att fatta snabba beslut. Behovet av snabba beslut och en föränderlig omgivning påverkar utformningen av verksamhetsstyrningen som har en stor fokus information om kunder.
Introduction: Technology has changed the way retailers do business in a fundamental way. One of those changes is the emergence of multi- and omnichannel retailing. In strategic changes both information and management accounting are affecting the decisions. In a world where the production of new information is increasing rapidly it’s hard to know which information that are relevant. Purpose: The purpose of the study is to survey and analyse the information used as decision support and which forces that have driven the strategic change towards multichannel retailing in the retail industry. Furthermore the purpose is to examine how and why management accounting has affected retailers during the strategic change. Methodology: Based on the study’s research question and purpose a case study was chosen as research method. After completing the case study a complementary survey based on the results from the case study was conducted. Semi structured interviews were used as data collection method. Conclusion: Many different forces and information types have driven the change to multichannel retailing. Company culture, an changing environment and the vast access to information are affecting retailers to make fast decisions. The need for fast decisions and an changing environment affects the design of retailers management accounting, which has a focus towards customer information.
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Burgess, Robin. "The development of a single strategy for the integration of quantitative and qualitative data types for the production of decision support systems." Thesis, University of Nottingham, 2008. http://eprints.nottingham.ac.uk/14185/.

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The research described in this thesis expresses the importance of quantitative and qualitative data types and how these can be incorporated and combined to produce an agricultural management decision support system (DSS). Researchers cannot solely depend on numerical data and relationships when designing, modelling and producing decision management tools. The relevance of the social sciences and peoples interpretations of these tools is equally important. The DSS described here focuses on the management of rainwater harvesting (RWH) in Tanzania. Numerical data related to natural resources (water and nutrients) and yields of rice and maize have been collected for the production of the DSS. With regard to the social science factors, the DSS tackles the concept of common pool resources (CPR) of water and nutrients. The importance of CPR is well understood, however their inclusion in the production of models is a relatively new concept. Criteria related to social status is linked with the by laws that govern the allocation of natural resources in Tanzania to help derive a numerical method for including CPR within the DSS. The production of the DSS is a novel way of combining this research into a tool that aims to benefit all socio-economic community groups. During the production of the DSS, a single generic approach for the inclusion of quantitative and qualitative information has developed. Particular focus was on the development of a model base (programming and mathematical relationship building), database (storage of the data used for the relationships) and a dialog system (the user-interface and communication strategy). This method is termed the ‘dialog, data, and models (DDM)’ paradigm (Sprague and Carlson, 1982). From this research, a DSS has been produced that aims to optimise RWH management in Tanzania with the aim of alleviating poverty and enhancing sustainable agriculture for all community members. Also an overall strategy for the production of DSSs has been produced. It illustrates how both quantitative (numerical and physical data) and qualitative (socio-economic considerations) can be utilised individually and in combination for the production of DSSs and can be extrapolated for further research and to new areas.
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Books on the topic "Data strategy development"

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Sinkewicz, Robert E. Project description and development strategy. Toronto, Ont., Canada: Pontifical Institute of Mediaeval Studies, 1989.

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Ojowu, O. Data requirements for the National Economic Empowerment and Development Strategy (NEEDS). Ibadan: s.n., 2004.

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Toigo, Jon William. Automated training development systems: A cost-effective strategy for corporate excellence. Englewood Cliffs, N.J: Yourdon Press, 1991.

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Kikō, Kokusai Kyōryoku. Data collection survey on strategy formulation on human resources development in Southeast Asia: Final report. [Tokyo]: Japan International Cooperation Agency, 2010.

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Bertocci, Stefano, Marco Bini, and Saverio Mecca, eds. Documentation for conservation and development. Florence: Firenze University Press, 2006. http://dx.doi.org/10.36253/8884534933.

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Documentation for conservation and development. New heritage strategy for the future collects the contributions to the 11th International Seminar (Florence 11-15 september 2006). The seminar showed the research realized on specific themes regarding the analysis, documentation and exploitation of both architectural properties and material and immaterial heritage with the purpose of its conservation and future development. Scientific knowledge, work and documentation about architecture and urban environment, the relationship with territory, as well as material and immaterial heritage, become formidable instruments for the comprehension and exploitation of the universe of data and signs given by history and culture, regarding in substance human life that founds and takes place in a certain geographic area.
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Rast, M. Imaging spectroscopy and its application in spaceborne systems: The development of a coherent strategy for scientific and application oriented use of imaging spectroscopy data for terrestrial investigations. Noordwijk, The Netherlands: ESA Publications Division, ESTEC, 1991.

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Indonesia. Direktorat Jenderal Pos dan Telekomunikasi. Strategic development plan for data communications. [Jakarta]: Directorate General of Posts and Telecommunications, Dept. of Tourism, Post and Telecommunications, Republic of Indonesia, 1989.

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Marcus, Healey, and Samtani Shyam, eds. B2B integration: A practical guide to collaborative e-commerce. London: Imperial College Press, 2002.

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Hakuli, Markku. Information technology and strategic development in the Finnish clothing industry. Vaasa, Finland: Vaasan Korkeakoulu, 1990.

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Taniar, David. Strategic advancements in utilizing data mining and warehousing technologies: New concepts and developments. Hershey, PA: Information Science Reference, 2010.

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Book chapters on the topic "Data strategy development"

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Fraser, Neil. "STRATEGY DEVELOPMENT AND BIG DATA ANALYTICS." In Internet of Things and Data Analytics Handbook, 347–64. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119173601.ch20.

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Bailey, Drew H. "Correlational data analysis in cognitive development." In Cognitive Development from a Strategy Perspective, 194–206. Robert Siegler / edited by Patrick Lemaire. Description: New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315200446-13.

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Gür, Inan, Markus Spiekermann, Michael Arbter, and Boris Otto. "Data Strategy Development: A Taxonomy for Data Strategy Tools and Methodologies in the Economy." In Lecture Notes in Information Systems and Organisation, 448–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86790-4_30.

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Ren, Linlin. "Smart Tourism Development Strategy Under the Background of Big Data." In Application of Intelligent Systems in Multi-modal Information Analytics, 803–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74811-1_116.

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Wang, Xiaoli. "The Development of Intelligent Technology in Preschool Education Strategy." In Application of Big Data, Blockchain, and Internet of Things for Education Informatization, 346–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87903-7_43.

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Yang, Qi. "Human Resources Development and Management System Based on “Five New” Strategy." In Lecture Notes on Data Engineering and Communications Technologies, 703–10. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5854-9_90.

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Yang, Jingqiu, and Yiquan Shi. "Development Strategy of Educational Robot Industry Based on Big Data Analysis." In Application of Intelligent Systems in Multi-modal Information Analytics, 62–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51556-0_10.

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Yoo, Soonduck, Jungihl Kim, and Kwangsun Ryu. "Using Big Data Strategy for the Development of the Communication Industry." In Web-Age Information Management, 349–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11538-2_32.

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Zhu, Liangliang, Pengpai Feng, Kui Wang, Tianheng Chen, Yi Ding, and Ye Li. "Optimization control strategy of waste heat utilization in data center with renewable energy." In Advances in Renewable Energy and Sustainable Development, 52–58. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003349648-8.

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Yerimpasheva, Aida T., and Zarema B. Balgabayeva. "Data-driven marketing as a part of a business strategy of Kazakhstani franchise companies." In Digitalization and Industry 4.0: Economic and Societal Development, 333–47. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-27110-7_23.

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Conference papers on the topic "Data strategy development"

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Vognimary, Marie Odette, Yanfang Liu, and Feng Xu. "Sustainable development strategy based on GIS." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837524.

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Wilberg, Julian, Isabell Triep, Christoph Hollauer, and Mayada Omer. "Big Data in Product Development: Need for a Data Strategy." In 2017 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2017. http://dx.doi.org/10.23919/picmet.2017.8125460.

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Ai-Jun, Diao. "Vocational Education Modern Apprenticeship Development Strategy Research." In 2015 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2015. http://dx.doi.org/10.1109/icitbs.2015.251.

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Zhang, Juxiang. "Research on Precision Marketing Strategy in Big Data Era." In 2017 2nd International Conference on Financial Innovation and Economic Development (ICFIED 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icfied-17.2017.29.

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Sun, Shihao. "Development Strategy of Technology Finance Industry Based on Internet Thinking." In 2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2021. http://dx.doi.org/10.1109/icitbs53129.2021.00058.

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Guo, Jianan, and Ganli Liao. "Study on the development strategy of smart logistics in China." In 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, edited by Hong Yu, Yongxin Zhu, and Victor Chang. SPIE, 2021. http://dx.doi.org/10.1117/12.2624290.

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Povitukhin, S. A., and E. V. Karmanova. "Development of a Profitable Trading Strategy with Data Mining Techniques." In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2020. http://dx.doi.org/10.1109/fareastcon50210.2020.9271324.

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Stabile, C. C., G. Fighera, S. Maiorano, and A. Avanzini. "Data-Analytics for Development Strategy Robust Optimization: a Successful Application." In 83rd EAGE Annual Conference & Exhibition. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202210916.

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Watanabe, Hiroshi, Hironari Ishihara, Keiichiro Ninomiya, Kaduo Hiraki, Tsuneo Matsunaga, and Tatsuya Yokota. "Development of GOSAT ground data system at NIES and the data processing strategy." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, and Shahid Habib. SPIE, 2007. http://dx.doi.org/10.1117/12.740705.

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Ahmed, Bestoun S., and Kamal Z. Zamli. "T-Way Test Data Generation Strategy Based on Particle Swarm Optimization." In 2010 Second International Conference on Computer Research and Development. IEEE, 2010. http://dx.doi.org/10.1109/iccrd.2010.56.

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Reports on the topic "Data strategy development"

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McCall, Jamie. Piedmont Community College: Partnering to Help Small Businesses. Carolina Small Business Development Fund, January 2021. http://dx.doi.org/10.46712/pcc.case.study.

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North Carolina’s community college system is a vital component of the state’s economic development strategy. With their unique knowledge of employer talent needs, these institutions are primary actors in the promotion of local economic growth and sustainable development. Using a combination of semi-structured interviews and focus group data, we assess how Piedmont Community College is following best practices in this area of policy. The college’s use of strategic partnerships and focus on small business development offer an example of innovative community development strategy.
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Arévalo, Josette, Priscila Vera, and Stefania De Santis. Independent Country Program Review Guyana 2017-2021. Inter-American Development Bank, September 2022. http://dx.doi.org/10.18235/0004471.

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This Independent Country Program Review (ICPR) covers the Bank's Country Strategy (EBP) of the Inter-American Development Bank (IDB) Group and the program in Guyana during the period 2017-2021. The ICPRs assess the relevance of the country strategy, provide aggregate information on the alignment and execution of the corresponding country program and, if the data allows it, its contribution to strategic objectives (SO) established in the country strategy. The ICPRs are primarily directed at the IDB Group's Boards of Executive Directors. They seek to provide the Boards with relevant information, which would otherwise not be available to them, for the analysis of the EBPs submitted for their consideration.
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Fang, Mei Lan, Lupin Battersby, Marianne Cranwell, Heather Cassie, Moya Fox, Philippa Sterlini, Jenna Breckenridge, Alex Gardner, and Thomas Curtin. IKT for Research Stage 5: Data Collection. University of Dundee, December 2022. http://dx.doi.org/10.20933/100001252.

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In 2020, the University of Dundee initiated the development of an Open Research strategy. As part of this initiative, in February 2021 the University’s Library and Learning Centre together with Open Research Champions from the Schools of Health Sciences and Dentistry, formed an Open Research Working group. To build on the University’s open research policy and infrastructure, the purpose of the group was to facilitate ongoing research and development of best practice approaches for our interdisciplinary environment to make outputs, data and other products of our research publicly available, building on University of Dundee’s Open Research policy and infrastructure. Through informal consultations with academic staff and students, the Open Research Working Group found that: → access and reach of research findings can be amplified through effective knowledge mobilisation, and stakeholder and patient and public involvement; and → there was a need for guidance and resources on how-to implement knowledge mobilisation activities with and for stakeholders throughout the entire research process – from proposal development to project completion. In June 2021, the Open Research working group, in partnership with Simon Fraser University’s Knowledge Mobilization Hub began the development of an Integrated Knowledge Translation (IKT) Toolkit, with funding support from the University of Dundee’s Doctoral Academy and Organisational Professional Development. IKT is an approach to knowledge translation that emphasises working in an engaged and collaborative partnership with stakeholders throughout the research cycle in order to have positive impact. The aim was to co-produce evidence-informed, best practice learning materials on how-to: → maintain ongoing relationships between researchers, community stakeholders and decision-makers in research development and implementation; and → facilitate an integrated, participatory way of knowledge production whereby researchers, practitioners and other knowledge users can collaborate to co-generate new and accessible knowledge that can be utilised in contexts ranging from supporting community development to policy guidance for practice. The IKT Toolkit was informed by a focused evidence review and synthesis of published peerreviewed and grey literature and consists of 8 knowledge briefs and a slide deck co-produced for use in any discipline or sector. Each knowledge brief provides practical guidance and resources to support an IKT process in each of eight key research stages: (i) Partnership Building; (ii) Generating Priorities and Ideas; (iii) Proposal development; (iv) Study Design; (v) Data Collection; (vi) Data Analysis; (vii) Reporting and (viii) Dissemination. The current knowledge brief provides IKT guidance on Research Stage 5: Data Collection.
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Fang, Mei Lan, Lupin Battersby, Marianne Cranwell, Heather Cassie, Moya Fox, Philippa Sterlini, Jenna Breckenridge, Alex Gardner, and Thomas Curtin. IKT for Research Stage 6: Data Analysis. University of Dundee, December 2022. http://dx.doi.org/10.20933/100001253.

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In 2020, the University of Dundee initiated the development of an Open Research strategy. As part of this initiative, in February 2021 the University’s Library and Learning Centre together with Open Research Champions from the Schools of Health Sciences and Dentistry, formed an Open Research Working group. To build on the University’s open research policy and infrastructure, the purpose of the group was to facilitate ongoing research and development of best practice approaches for our interdisciplinary environment to make outputs, data and other products of our research publicly available, building on University of Dundee’s Open Research policy and infrastructure. Through informal consultations with academic staff and students, the Open Research Working Group found that: → access and reach of research findings can be amplified through effective knowledge mobilisation, and stakeholder and patient and public involvement; and → there was a need for guidance and resources on how-to implement knowledge mobilisation activities with and for stakeholders throughout the entire research process – from proposal development to project completion. In June 2021, the Open Research working group, in partnership with Simon Fraser University’s Knowledge Mobilization Hub began the development of an Integrated Knowledge Translation (IKT) Toolkit, with funding support from the University of Dundee’s Doctoral Academy and Organisational Professional Development. IKT is an approach to knowledge translation that emphasises working in an engaged and collaborative partnership with stakeholders throughout the research cycle in order to have positive impact. The aim was to co-produce evidence-informed, best practice learning materials on how-to: → maintain ongoing relationships between researchers, community stakeholders and decision-makers in research development and implementation; and → facilitate an integrated, participatory way of knowledge production whereby researchers, practitioners and other knowledge users can collaborate to co-generate new and accessible knowledge that can be utilised in contexts ranging from supporting community development to policy guidance for practice. The IKT Toolkit was informed by a focused evidence review and synthesis of published peer-reviewed and grey literature and consists of 8 knowledge briefs and a slide deck co-produced for use in any discipline or sector. Each knowledge brief provides practical guidance and resources to support an IKT process in each of eight key research stages: (i) Partnership Building; (ii) Generating Priorities and Ideas; (iii) Proposal development; (iv) Study Design; (v) Data Collection; (vi) Data Analysis; (vii) Reporting and (viii) Dissemination. The current knowledge brief provides IKT guidance on Research Stage 6: Data Analysis.
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Bennett, Alan B., Arthur Schaffer, and David Granot. Genetic and Biochemical Characterization of Fructose Accumulation: A Strategy to Improve Fruit Quality. United States Department of Agriculture, June 2000. http://dx.doi.org/10.32747/2000.7571353.bard.

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The goal of the research project was to evaluate the potential to genetically modify or engineer carbohydrate metabolism in tomato fruit to enhance levels of fructose, a sugar with nearly twice the sweetness value of other sugars. The specific research objectives to achieve that goal were to: 1. Establish the inheritance of a fructose-accumulating trait identified in F1 hybrids of an inferspecific cross between L. hirsutum XL. esculentum and identify linked molecular markers to facilitate its introgression into tomato cultivars. This objective was completed with the genetic data indicating a single major gene, termed Fgr (Fructose glucose ratio), that controlled the partitioning of hexose in the mature fruit. Molecular markers for the gene, were developed to aid introgression of this gene into cultivated tomato. In addition, a second major gene encoding fructokinase 2 (FK2) was found to be a determinant of the fructose to glucose ratio in fruit. The relationship between FK2 and Fgr is epistatic with a combined synergistic effect of the two hirsutum-derived genes on fructose/glucose ratios. 2. Characterize the metabolic and transport properties responsible for high fructose/glucose ratios in fructose-accumulating genotypes. The effect of both the Fgr and FK2 genes on the developmental accumulation of hexoses was studied in a wide range of genetic backgrounds. In all backgrounds the trait is a developmental one and that the increase in fructose to glucose ratio occurs at the breaker stage of fruit development. The following enzymes were assayed, none of which showed differences between genotypes, at either the breaker or ripe stage: invertase, sucrose synthase, FK1, FK2, hexokinase, PGI and PGM. The lack of effect of the FK2 gene on fructokinase activity is surprising and at present we have no explanation for the phenomenon. However, the hirsutum derived Fgr allele was associated with significantly lower levels of phosphorylated glucose, G1c-1-P and G1c-6-P and concomitantly higher levels of the phosphorylated fructose, Fru-6-P, in both the breaker and ripe stage. This suggests a significant role for the isomerase reaction. 3. Develop and implement molecular genetic strategies for the production of transgenic plants with altered levels of enzymes that potentially control fructose/glucose ratios in fruit. This objective focused on manipulating hexokinase and fructokinase expression in transgenic plants. Two highly divergent cDNA clones (Frk1 and Frk2), encoding fructokinase (EC 2.7.1.4), were isolated from tomato (Lycopersicon esculentum) and a potato fructokinase cDNA clone was obtained from Dr. Howard Davies. Following expression in yeast, each fructokinase was identified to code for one of the tomato or potato fructokinase isoforms Transgenic tomato plants were generated with the fructokinase cDNA clone in both sense and antisense orientations and the effect of the gene on tomato plants is currently being studied.
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Cohen, Roni, Kevin Crosby, Menahem Edelstein, John Jifon, Beny Aloni, Nurit Katzir, Haim Nerson, and Daniel Leskovar. Grafting as a strategy for disease and stress management in muskmelon production. United States Department of Agriculture, January 2004. http://dx.doi.org/10.32747/2004.7613874.bard.

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The overall objective of this research was to elucidate the horticultural, pathological, physiological and molecular factors impacting melon varieties (scion) grafted onto M. cannonballus resistant melon and squash rootstocks. Specific objectives were- to compare the performance of resistant melon germplasm (grafted and non-grafted) when exposed to M. cannoballus in the Lower Rio Grande valley and the Wintergarden, Texas, and in the Arava valley, Israel; to address inter-species relationships between a Monosporascus resistant melon rootstock and susceptible melon scions in terms of fruit-set, fruit quality and yield; to study the factors which determine the compatibility between the rootstock and the scion in melon; to compare the responses of graft unions of differing compatibilities under disease stress, high temperatures, deficit irrigation, and salinity stress; and to investigate the effect of rootstock on stress related gene expression in the scion. Some revisions were- to include watermelon in the Texas investigations since it is much more economically important to the state, and also to evaluate additional vine decline pathogens Didymella bryoniae and Macrophomina phaseolina. Current strategies for managing vine decline rely heavily on soil fumigation with methyl bromide, but restrictions on its use have increased the need for alternative management strategies. Grafting of commercial melon varieties onto resistant rootstocks with vigorous root systems is an alternative to methyl bromide for Monosporascus root rot/vine decline (MRR/VD) management in melon production. Extensive selection and breeding has already produced potential melon rootstock lines with vigorous root systems and disease resistance. Melons can also be grafted onto Cucurbita spp., providing nonspecific but efficient protection from a wide range of soil-borne diseases and against some abiotic stresses, but compatibility between the scion and the rootstock can be problematic. During the first year experiments to evaluate resistance to the vine decline pathogens Monosporascus cannonballus, Didymella bryoniae, and Macrophomina phaseolina in melon and squash rootstocks proved the efficacy of these grafted plants in improving yield and quality. Sugars and fruit size were better in grafted versus non-grafted plants in both Texas and Israel. Two melons (1207 and 124104) and one pumpkin, Tetsukabuto, were identified as the best candidate rootstocks in Texas field trials, while in Israel, the pumpkin rootstock RS59 performed best. Additionally, three hybrid melon rootstocks demonstrated excellent resistance to both M. cannonballus and D. bryoniae in inoculated tests, suggesting that further screening for fruit quality and yield should be conducted. Experiments with ABA in Uvalde demonstrated a significant increase in drought stress tolerance and concurrent reduction in transplant shock due to reduced transpiration for ‘Caravelle’ plants. In Israel, auxin was implicated in reducing root development and contributing to increased hydrogen peroxide, which may explain incompatibility reactions with some squash rootstocks. However, trellised plants responded favorably to auxin (NAA) application at the time of fruit development. Gene expression analyses in Israel identified several cDNAs which may code for phloem related proteins, cyclins or other factors which impact the graft compatibility. Manipulation of these genes by transformation or traditional breeding may lead to improved rootstock cultivars. Commercial applications of the new melon rootstocks as well as the ABA and TIBA growth regulators have potential to improve the success of grafted melons in both Israel and Texas. The disease resistance, fruit quality and yield data generated by the field trials will help producers in both locations to decide what rootstock/scion combinations will be best.
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Elias, Christopher J., and Lori L. Heise. The development of microbicides: A new method of HIV prevention for women. Population Council, 1993. http://dx.doi.org/10.31899/hiv1993.1001.

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A critical review of current epidemiological trends and social science research demonstrates that there is an urgent need for expanding the range of female-controlled HIV prevention methods. Existing efforts to control the spread of HIV infection primarily through the encouragement of a reduction in the number of sexual partners, widespread condom promotion, and the control of other sexually transmitted infections are inadequate for many of the world's women. Underlying gender power inequities severely limit the ability of many women to protect themselves from HIV infection, especially in the absence of a prevention technology they can use, when necessary, without their partner's consent. Current understanding of biology suggests that developing such methods is a feasible and potentially cost-effective endeavor. This paper describes the growing risk of HIV infection faced by women throughout the world, examines the limitation of contemporary AIDS prevention strategy in meeting the needs of women, reviews the existing data on female-controlled HIV prevention methods, and outlines the challenges for future microbicide development.
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Menéses-González, María Fernanda, Angélica María Lizarazo-Cuéllar, Diego Cuesta-Mora, and Daniel Esteban Osorio-Ramírez. Financial Development and Monetary Policy Transmission. Banco de la República Colombia, November 2022. http://dx.doi.org/10.32468/be.1219.

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This paper estimates the effect of financial development on the transmission of monetary policy. To do so, the paper employs a panel data set containing financial development indicators, policy rates, lending rates, and deposit rates for 43 countries for the period 2000-2019 and applies the empirical strategy of Brandao Marques et al. (2020): firstly, monetary policy shocks are estimated using a Taylor-rule specification that relates changes in the policy rate to inflation, the output gap and other observables that are likely to influencemonetary policy decisions; secondly, the residuals of this estimation (policy shocks) are used in a specification that relates lending or deposit rates to, among others, policy shocks and the interaction between policy shocks and measures of financial development. The coefficient on this interaction term captures the effect of financial development on the relationship between policy shocks and lending or deposit rates. The main findings of the paper are twofold: on the one hand, financial development does strengthen the monetary policy transmission channel to deposit rates; that is, changes in the policy rate in economies with more financial development induce larger changes (in the same direction) in deposit rates than is the case in economies with less financial development. This result is particularly driven by the effect of the development of financial institutions on policy transmission – the effect of financial markets development turns out to be smaller in magnitude. On the other hand, financial development does not strengthen the transmission of monetary policy to lending rates. This is consistent with a credit channel which weakens in the face of financial development in a context where banks cannot easily substitute short-term funding sources. These results highlight the relevance of financial development for the functioning of monetary policy across countries, and possibly imply the necessity of a more active role of monetary authorities in fostering financial development.
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Fang, Mei Lan, Lupin Battersby, Marianne Cranwell, Heather Cassie, Moya Fox, Philippa Sterlini, Jenna Breckenridge, Alex Gardner, and Thomas Curtin. IKT for Research Stage 3: Proposal Development. University of Dundee, December 2022. http://dx.doi.org/10.20933/100001250.

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In 2020, the University of Dundee initiated the development of an Open Research strategy. As part of this initiative, in February 2021 the University’s Library and Learning Centre together with Open Research Champions from the Schools of Health Sciences and Dentistry, formed an Open Research Working group. To build on the University’s open research policy and infrastructure, the purpose of the group was to facilitate ongoing research and development of best practice approaches for our interdisciplinary environment to make outputs, data and other products of our research publicly available, building on University of Dundee’s Open Research policy and infrastructure. Through informal consultations with academic staff and students, the Open Research Working Group found that: → access and reach of research findings can be amplified through effective knowledge mobilisation, and stakeholder and patient and public involvement; and → there was a need for guidance and resources on how-to implement knowledge mobilisation activities with and for stakeholders throughout the entire research process – from proposal development to project completion. In June 2021, the Open Research working group, in partnership with Simon Fraser University’s Knowledge Mobilization Hub began the development of an Integrated Knowledge Translation (IKT) Toolkit, with funding support from the University of Dundee’s Doctoral Academy and Organisational Professional Development. IKT is an approach to knowledge translation that emphasises working in an engaged and collaborative partnership with stakeholders throughout the research cycle in order to have positive impact. The aim was to co-produce evidence-informed, best practice learning materials on how-to: → maintain ongoing relationships between researchers, community stakeholders and decision-makers in research development and implementation; and → facilitate an integrated, participatory way of knowledge production whereby researchers, practitioners and other knowledge users can collaborate to co-generate new and accessible knowledge that can be utilised in contexts ranging from supporting community development to policy guidance for practice. The IKT Toolkit was informed by a focused evidence review and synthesis of published peerreviewed and grey literature and consists of 8 knowledge briefs and a slide deck co-produced for use in any discipline or sector. Each knowledge brief provides practical guidance and resources to support an IKT process in each of eight key research stages: (i) Partnership Building; (ii) Generating Priorities and Ideas; (iii) Proposal development; (iv) Study Design; (v) Data Collection; (vi) Data Analysis; (vii) Reporting and (viii) Dissemination. The current knowledge brief provides IKT guidance on Research Stage 3: Proposal Development.
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Ecker, Brigitte, Philipp Brunner, Nikias Dick, Ernst Hartmann, David Heckenberg, Julian Johs, Gerhard Kasneci, et al. Austrian Research and Technology Report 2022. BMBWF, BMK & BMDW, 2022. http://dx.doi.org/10.22163/fteval.2022.575.

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The Research and Technology Report 2022 provides an overview of research, technology and innovation (RTI) funded by the federal government in Austria. In addition to the presentation of current research policy developments, which covers the status of implementation of the RTI Strategy 2030 adopted at the end of 2020, research-relevant sub-strategies and the latest developments in the higher education sector, analyses of Austria's national and international RTI performance are prepared on the basis of recent data from various international rankings, from the R&D (Research & Development) Survey 2019 and the Global Estimate 2022.
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