Information Resource Management Research Articles

Digital Preservation Skills of Electronic Information Resources’ Management among Library Personnel in Selected Universities in Nigeria

Electronic information resources (EIR) management requires skills that are vital for digital preservation; thus, it is imperative that library personnel enhance their skills to cope with the demands of the modern electronic information age. Digital Preservation Skills of Electronic Information Resources’ Management among Library Personnel in Selected Universities in Ogun State, Nigeria. Simple random sampling proportionate to size was adopted in selecting 242 respondents (84.4%) out of 286 librarians, library officers, library assistants and support staff from nine (9) purposively selected university libraries in Ogun State. A structured questionnaire was used to collect data on electronic information resources available in selected universities libraries and interview were used to triangulate the data collect with questionnaire data for the research questions. The EIRs preservation skills possessed by library personnel, the EIRs preservation strategies used by the libraries and how EIRs are managed in the selected university libraries. However, only 215 of the 242 questionnaires were found useful (88.8% response rate). Descriptive statistics, Pearson Product Moment Correlation (PPMC) and Ordinary Least Squares regression technique (OLS) were used to analyse the data obtained from the respondents. Results also reveal that e-journal 1.95), online public access catalogue 1.93) and Autoregressive Distributed Lag 1.60) were available in the university libraries. In conclusion, preservation skills and preservation strategies were the major determinants of EIR's management. Therefore, the study recommended that stakeholders and university administration should build the capacity of library personnel's digital preservation skills for enhanced management of EIRs.

High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau

Accurate high-resolution soil moisture mapping is critical for surface studies as well as climate change research. Currently, regional soil moisture retrieval primarily focuses on a spatial resolution of 1 km, which is not able to provide effective information for environmental science research and agricultural water resource management. In this study, we developed a quantitative retrieval framework for high-resolution (250 m) regional soil moisture inversion based on machine learning, multisource data fusion, and in situ measurement data. Specifically, we used various data sources, including the normalized vegetation index, surface temperature, surface albedo, soil properties data, precipitation data, topographic data, and soil moisture products from passive microwave data assimilation as input parameters. The soil moisture products simulated based on ground model simulation were used as supplementary data of the in situ measurements, together with the measured data from the Maqu Observation Network as the training target value. The study was conducted in the Zoige region of the Tibetan Plateau during the nonfreezing period (May–October) from 2009 to 2018, using random forests for training. The random forest model had good accuracy, with a correlation coefficient of 0.885, a root mean square error of 0.024 m³/m³, and a bias of −0.004. The ground-measured soil moisture exhibited significant fluctuations, while the random forest prediction was more accurate and closely aligned with the field soil moisture compared to the soil moisture products based on ground model simulation. Our method generated results that were smoother, more stable, and with less noise, providing a more detailed spatial pattern of soil moisture. Based on the permutation importance method, we found that topographic factors such as slope and aspect, and soil properties such as silt and sand have significant impacts on soil moisture in the southeastern Tibetan Plateau. This highlights the importance of fine-scale topographic and soil property information for generating high-precision soil moisture data. From the perspective of inter-annual variation, the soil moisture in this area is generally high, showing a slow upward trend, with small spatial differences, and the annual average value fluctuates between 0.3741 m3/m3 and 0.3943 m3/m3. The intra-annual evolution indicates that the monthly mean average soil moisture has a large geographical variation and a small multi-year linear change rate. These findings can provide valuable insights and references for regional soil moisture research.

Provider survey of the roles of clinical pharmacists in primary care in a Federally Qualified Health Center versus an Accountable Care Organization

BackgroundHealthcare providers at primary care Federally Qualified Healthcare Centers (FQHC) and an Accountable Care Organizations (ACO) collaborated with clinical pharmacists in providing patient care utilizing the comprehensive medication management (CMM) framework. The intention of CMM was to generate more time for providers to see patients, and to improve overall patient quality of life. ObjectivesThe purpose of this study was to survey the providers' views of clinical pharmacy services, and to compare and contrast the shared-visit model in rural FQHCs and an ACO collaborative practice agreement model in a mid-sized metropolitan area. MethodsPrimary care providers completed a five-domain 22-item survey of provider patient care, provider pharmacy consults, provider ranking of pharmacy-services, disease treatment and provider views on the value of clinical pharmacists. ResultsFQHC pharmacists were available one day per week (75%), while 69% of ACO pharmacists were available five days per week. FQHC providers requested <5 pharmacist consults per week (46%), while ACO requested >10 consults per week (44%). Both organizations had nearly identical provider rankings and impact on patient care for clinical pharmacy services and disease-focused pharmacy services. The provider survey of satisfaction with pharmacy consultations were highly positive and scored as strongly agree with FQHC and ACO, with the exception of three items with the FQHC. Overall providers at both organizations report highly effective medication-related improvements, disease outcomes and also recommend clinical pharmacists to other providers and primary care teams. Regression analysis revealed relevant clinical associations between survey statements not seen with individual survey items alone. ConclusionPrimary care providers report high satisfaction with, and benefits of, clinical pharmacy services. Drug information resource and disease-focused management were documented by providers as valuable pharmacy services. Providers promoted expanding the role of clinical pharmacists with providers, and integration into primary care teams.

Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model

The methods for improving the accuracy of water level prediction were proposed in this study by selecting the Gated Recurrent Unit (GRU) model, which is effective for multivariate learning at the Paldang Bridge station in Han River, South Korea, where the water level fluctuates seasonally. The hydrological data (i.e., water level and flow rate) for Paldang Bridge station were entered into the GRU model; the data were provided by the Water Resources Management Information System (WAMIS), and the meteorological data for Seoul Meteorological Observatory and Yangpyeong Meteorological Observatory were provided through the Korea Meteorological Administration. Correlation analysis was used to select the training data for hydrological and meteorological data. Important input data affecting the daily water level (DWL) were daily flow rate (DFR), daily vapor pressure (DVP), daily dew point temperature (DDPT), and 1 h max precipitation (1HP), and were used as the multivariate learning data for water level prediction. However, the DWL prediction accuracy did not improve even if the meteorological data from a single meteorological observatory far from the DWL prediction point were used as the multivariate learning data. Therefore, in this study, methods for improving the predictive accuracy of DWL through multivariate learning that effectively utilize meteorological data from each meteorological observatory were presented. First, it was a method of arithmetically averaging meteorological data for two meteorological observatories and using it as the multivariate learning data for the GRU model. Second, a method was proposed to use the meteorological data of the two meteorological observatories as multivariate learning data by weighted averaging the distances from each meteorological observatory to the water level prediction point. Therefore, in this study, improved water level prediction results were obtained even if data with some correlation between meteorological data provided by two meteorological observatories located far from the water level prediction point were used.

The National Cultural Resources Information Management System (NCRIMS)

ABSTRACTDespite making great strides over the past 50 years, cultural resources data management and synthesis continues to be elusive and nonstandardized, with each state and agency developing disparate systems that do not easily mesh. The Bureau of Land Management (BLM) has embarked on a national initiative by creating a National Cultural Resources Data Standard (NCRDS) that works to address many long-standing data organization issues. The NCRDS allows for the application of more rigorous data management principles that facilitate landscape-level planning and data modeling on BLM-administered lands across the western United States. The NCRDS and associated National Cultural Resources Information Management System (NCRIMS) contains normalized data from 11 western State Historic Preservation Offices (SHPOs) and BLM data stores. NCRIMS is a web-based application hosted by the BLM's National Operations Center (NOC) Enterprise Geographic Information System (EGIS). NCRIMS allows for high-level planning during local, regional, and multistate project analyses and undertakings, facilitating consideration of cultural heritage values early in the planning process versus late stages as has been traditional. This allows the BLM to more proactively, effectively, and efficiently answer data calls and inform agency decision-makers on possible impacts to cultural heritage resources by proposed or ongoing agency actions.

Research on Data Integration of Overseas Discrete Archives From the Perspective of Digital Humanities

The digitization of displaced archives is of great historical and cultural significance. Through the construction of digital humanistic platforms represented by MISS Platform, and the comprehensive application of IIIF technology, knowledge graph technology, ontology technology, and other popular information technologies. We can find that the digital framework of displaced archives built through the MISS platform can promote the establishment of a standardized cooperation and dialogue mechanism between the archives’ authorities and other government departments. At the same time, it can embed the works of archives in the construction of digital government and the economy, promote the exploration of the integration of archives management, data management, and information resource management, and ultimately promote the construction of a digital society. By fostering a new partnership between archives departments and enterprises, think tanks, research institutes, and industry associations, the role of multiple social subjects in the modernization process of the archives governance system and governance capacity will be brought into play. The National Archives Administration has launched a special operation to recover scattered archives overseas, drawing up a list and a recovery action plan for archives lost to overseas institutions and individuals due to war and other reasons. Through the National Archives Administration, the State Administration of Cultural Heritage, the Ministry of Foreign Affairs, the Supreme People's Court, the Supreme People's Procuratorate, and the Ministry of Justice, specific recovery work is carried out by studying and working on international laws.

Data mining: Application of digital marketing in education

The excessive cost of inadequate management of stored information resources by companies means a significant loss for them, causing them to invest more than they should in technology. To overcome and avoid more significant losses, companies must counteract this type of problem. The present work's aim is to apply good data mining through digital business marketing that will allow ordering and filtering of the relevant information in the databases through RapidMiner, to supply the companies' databases with only relevant information for the normal development of their functions. For this purpose, the Knowledge Discovery Databases (KDD) methodology will be used, which will allow us to filter and search for information patterns that are hidden in order to take advantage of the historical data of investment per student in the educational sector and to establish a more accurate and efficient data prediction. As a result, it was found that over the years, the expenditure per student increases regardless of the area in which it is located, that although not in all provinces same amount is allocated, it is observed that it maintains an upward trend concerning the expenditures made, concluding that the KDD methodology allowed us to graph and showed how the expenditure allocated to the education sector has varied in the different grades of education, providing relevant information that will be useful for future related studies.

Data Center Based on Cloud Computing Technology

With the rapid development of Internet applications, the impact on the development of data centers is huge. Domestic data centers attach great importance to the acceptance of cloud computing technology and the construction of application systems. Nowadays, data centers can be effectively transformed into cloud computing development. The operating support environment has become the main consideration and focus of today’s data center development. Under the concept of cloud computing, this article analyzes and builds a new data center that is more in line with the needs of resource management and information construction. Taking the development of data centers based on cloud computing technology as the research object, building data centers through cloud computing technology realizes the acquisition and organization of data and makes full use of resources. A new information resource management system with functions such as classification and query of data, overall processing and analysis of data, backup of data, information management and services has been realized. Before using the cloud computing model, the network deployed a total of 40 virtual servers, and the average CPU utilization rate was less than 40%. Since the establishment of the data center model in this article, the utilization rate of the processor has stabilized at around 95%. Therefore, the data center proposed in this paper greatly improves the utilization of data and speeds up the overall construction of the data center.

Information resources management through ICT application for e-governance: Issues and prospects

The paper examined the place of information resources management through the application of ICT for e-governance. Governance is a process of establishing policies or laws and continuously monitoring their implementation in the public. To make governance process cost effective, easy and convenient to the citizens, information and communication technologies (ICTs) play a vital role. . Information resources are print and non-print materials that could be sourced and accessed manually or electronically, while its management has to do with the ability to know when and why information is needed, where to find it, how to evaluate, use and communicate it in an ethical manner. Using ICTs in governance is referred to as e-governance. Its application therefore helps citizens to participate not only in policy making but also in quality service improvements and getting government services over networks. Challenges such as constraint to infrastructure, human resources, digital divide and social constraint were identified. It was therefore recommended that integrity, transparency and accountability be ensured through the implementation of ICT, network in every public institution, strengthening connectivity among all public institutions, reducing hassle, cost, time, and corruption in public service delivery, among others.

Improving the Operational Simplified Surface Energy Balance Evapotranspiration Model Using the Forcing and Normalizing Operation

Actual evapotranspiration modeling is providing useful information for researchers and resource managers in agriculture and water resources around the world. The performance of models depends on the accuracy of forcing inputs and model parameters. We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). SSEBop has two key model parameters that define the model boundary conditions. The FANO algorithm computes the wet-bulb boundary condition using a linear FANO Equation relating surface temperature, surface psychrometric constant, and the Normalized Difference Vegetation Index (NDVI). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: (1) Google Earth Engine (GEE) and (2) Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA). Evaluation was conducted by comparing modeled actual evapotranspiration (ETa) estimates with AmeriFlux eddy covariance (EC) and water balance ETa from level-8 Hydrologic Unit Code sub-basins in the conterminous United States. FANO brought substantial improvements in model accuracy and operational implementation. Compared to the earlier version (v0.1.7), SSEBop FANO (v0.2.6) reduced grassland bias from 47% to −2% while maintaining comparable bias for croplands (11% versus −7%) against EC data. A water balance-based ETa bias evaluation showed an overall improvement from 7% to −1%. Climatology versus annual gridded reference evapotranspiration (ETr) produced comparable ETa results, justifying the use of climatology ETr for the global SSEBop Landsat ETa that is accessible through the ESPA website. Besides improvements in model accuracy, SSEBop FANO increases the spatiotemporal coverage of ET modeling due to the elimination of high NDVI requirements for model parameterization. Because of the existence of potential biases from forcing inputs and model parameters, continued evaluation and bias corrections are necessary to improve the absolute magnitude of ETa for localized water budget applications.

Effects of Soil Data Accuracy on Outputs of Irrigation Scheduling Tools

Highlights The effects of soil data accuracy on estimated water fluxes by an irrigation scheduling model were investigated. Free and frequently used web soil survey (WSS) soil textural data underestimated sand particles in 89% of cases. Forty-nine percent of the estimated differences in seasonal irrigation based on WSS and measured soil data were within ±25 mm. In most cases, use of WSS data resulted in larger evaporation, smaller deep percolation, and larger runoff compared to those based on measured soil data. Abstract. A widely used irrigation scheduling method is based on modeling soil water balance, which requires several key inputs, including soil data. Many scheduling tools developed using this method rely on publicly available soil data, such as the United States Department of Agriculture's Web Soil Survey (WSS). While soil survey data are a valuable source of information for general farm and natural resource planning and management at large scales, inaccuracies in soil conditions at field and subfield scales can hamper efficient agricultural water management through irrigation scheduling tools. To illuminate the implications of the localized inaccuracies, this study estimated the errors in WSS soil textural data at 18 sites in three regions of western Oklahoma through comparison with in-situ sampling (ISS) data. The effects of errors on estimated water fluxes were also investigated for dominant crops of each region over a 15-year (2006-2020) period. The findings demonstrated that WSS soil textures were finer than ISS at most sites and soil layers, resulting in generally greater root zone total available water estimates. Differences in seasonal irrigation demand estimates when WSS data were used instead of ISS reached 20% at one site but were within ±9% among the regions. Half of the estimated seasonal irrigation differences for all sites, years, and crops were within ±25 mm. Soil evaporation, deep percolation, and runoff fluxes were also impacted by soil data source, albeit to a smaller degree than irrigation, at levels and directions (over or underestimation) that were dependent on the sign and magnitude of WSS errors, as well as precipitation amounts and timing. Overall, errors in WSS data may not have a major impact at regional scales, but the effects on individual irrigated farms may be severe depending on the magnitude of difference between WSS data and true soil conditions. Keywords: Irrigation demand, Soil water balance, SSURGO, Water fluxes, Web soil survey.

ЩОДО ВИЗНАЧЕННЯ ПОНЯТТЯ ТА РОЛІ ІНФОРМАЦІЙНИХ РЕСУРСІВ В УПРАВЛІННІ ПІДПРИЄМСТВОМ

The article examines the concept of "information resource" and approaches to its formation. It is noted that the high rates of digital transformation of management processes are caused by the conditions of digitalization of socio-economic and other spheres of society, the rise of the knowledge society, and the development of information and communication systems and technologies. The authors propose their own formulation of information resources, which is formulated from the standpoint of a managerial approach. Based on the results of the analysis of the theoretical foundations of information management, the article assigns characteristics of information resources, among which the most important are the ability to reduce or eliminate uncertainty, which reduces the risk of making a wrong decision; reusability, which reduces the overall cost of obtaining information and generates new data sets; and high growth rate of information resources in modern society, which is directly proportional to the frequency of their use. It is established that information in a management system becomes an information resource only when it is evaluated by the user. The essence of information resources is presented, which consists in the symbiosis of two concepts: information and resource. It is established that the use of information resources increases or updates their value, which is determined by a set of properties of utility and specificity. This process is quite complex in terms of implementation and organization. On the basis of the results a generalized scheme of management of information resources of an enterprise is built, which is based on the rule of maximization of efficiency of use of information as a resource. Two generalized groups have been assigned – sources of information resources – internal and external. The heterogeneity, diversity and specificity of primary external information are noted. The important role of external information resources in comprehensive assessment of performance and identification of promising areas for further development of the enterprise is noted. Conclusions are drawn regarding the practical significance of information resources in forecasting and planning the needs of enterprises.

Формування інформаційно-комунікаційного менеджменту організації

The article is aimed at studying and substantiating information and communication links and managing them in an organization, i. e. systematizing the entire communication space relating to enterprise management and promotion of goods and services. The article describes the meaning, value and place of information and communication management of organization as a process of making managerial decisions and promoting goods and services. As a result of all relevant research, the article forms a mechanism of information and communication management of organization, which allows to effectively manage information resources and communication processes at enterprise, which, in turn, provides improvement of productivity, efficiency, and competitiveness. The systematization of the classification of communications, which is presented in the article, depending on the type, environment of application and characterization of each of them, allows more effective use of all information and communication processes for the formation of a general organizational mechanism of communication links. The authors, after a thorough study of domestic and foreign opinions of scholars on information and communication management, provide their own vision of this category as an area of activity that studies, develops and implements strategies, methods and technologies for effective management of information resources and communication processes in an organization or enterprise. For formation of the mechanism of information and communication management, the article identifies the main aspects of formation of communication space of enterprise, namely: collection and processing of information; providing access to information and information security; communications management; information technology management; analysis and implementation of the latest solutions. Improving the information and communication management in enterprises can play an important role in improving the efficiency and productivity of the organization. Therefore, the article considers the main processes that will improve information and communication management at enterprises.

Spatial distribution patterns of hotspot and relationship between hotspot and vegetation indices in Chiang Mai Province, Thailand

This work focused on Chiang Mai Province, Thailand, had 2 targets which were 1) to analyse spatial distribution patterns of hotspot and 2) to analyse a relationship between hotspot and vegetation indices in the area. The hotspots data of 2016 - 2020 which had a significant level &gt; 70% were gathered from MODIS satellite images, was provided by Fire Information for Resource Management System (FIRMS). An analyse method was performed by Nearest Neighbour Index (NNI) with Moran? s I to present spatial distribution patterns and density of hotspot. Analysis of Getis - Ord Gi* statistic was for identify heat of hotspot comparing with surrounding area. Moreover, vegetation indices values (Normalized Difference Vegetation Index: NDVI, Soil Adjustment Vegetation Index: SAVI and Normalized Difference Water Index: NDWI) was examined by satellite images of the same period from Landsat 8 OLI to analyse a relationship between hotspot and each vegetation index. The results illustrated that there were different number of hotspots over 5 studying years, especially in 2016 which had the most hotspot. The spatial distribution of hotspot patterns was classified as clustered type (Getis - Ord Gi* statistic with Z-Score &gt; 1.96) with different hotspot density in each year. The area which had high heat was found in upper and west area with medium to high hotspots density. The hotspot and NDVI had relationship in contrast by a correlation coefficient value at -.887 (r = -.887) with a significant level at .05. However, SAVI and NDWI had no relationship with hotspot.

Retracted: “Internet + Artificial Intelligence” Human Resource Information Management System Construction Innovation and Research

Retracted: “Internet + Artificial Intelligence” Human Resource Information Management System Construction Innovation and Research

Problems and solutions of information resource management in university digital library

Problems and solutions of information resource management in university digital library

Problems and solutions of information resource management in university digital library

Problems and solutions of information resource management in university digital library

Retracted: Research on Library Book Information Resource Management Based on Artificial Intelligence and Sensors

Retracted: Research on Library Book Information Resource Management Based on Artificial Intelligence and Sensors

The interaction between rationality, politics and artificial intelligence in the decision-making process

This review paper delves deeply into the intricate correlation between rational and political strategies in the decision-making process of information technology governance (ITG). The core focus is to understand how advanced technologies like artificial intelligence (AI), machine learning, and decision intelligence, when juxtaposed with traditional political decision-making methods and rational conceptualization (Cohen &amp; Comesaña, 2023), coalesce within the ITG framework. The authors posit that while ITG’s decision-making can be influenced by AI, rationality, or politics, there’s a discernible alignment of managerial actions leveraging big data and machine learning with rational models, rather than political ones. Furthermore, the paper touches upon the power dynamics and strategic decision-making processes that often underpin ITG decisions. This research not only deepens the theoretical understanding but also provides pragmatic recommendations, making it invaluable for informed resource management in business management and ITG (Filgueiras, 2023). Through this exploration, stakeholders can better navigate the complexities of ITG, ensuring that technology aligns with organizational goals and strategies. As this paper identifies the power dynamics and strategic decision-making processes that often underpin ITG decisions, we can state that there was a discernible alignment of managerial actions leveraging big data and machine learning with rational models, rather than political ones.

Strategic Employees Satisfaction toward Human Resource Management Information System in Higher Education Institutions

Strategic Employees Satisfaction toward Human Resource Management Information System in Higher Education Institutions