248 10 3575 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kim, Hyo-Jung Rha, Jong-Youn Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-23 Description An account of the resource This study empirically analyzed a survey conducted on South Korean undergraduate students to determine the factors that influence their decision to adopt mobile learning. The consumer typology approach was applied based on their mobile technology readiness, and identified three distinct consumer groups: critical adopters, pro-technology, and ambivalent. Critical adopters were the largest of the three groups, indicating that a significant portion of university students in South Korea might be critical adopters of mobile learning. Compatibility and observability positively influenced the intention to use mobile learning in all consumer groups. In the critical adopter and ambivalent groups, mobile learning resistance had the greatest effect on the intention to use mobile learning, while in the pro-technology group mobile learning self-efficacy had the greatest effect on this intention. Results identified significant differences across consumer groups in the antecedents and consequences of the intention to use mobile learning. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/7688 10.3991/ijim.v12i1.7688 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/7688/4771 Rights Information about rights held in and over the resource Copyright (c) 2018 Hyo-Jung Kim, Jong-Youn Rha Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 1 (2018); pp. 116-132 1865-7923 Subject The topic of the resource Mobile learning Technology readiness Innovation characteristics Innovation resistance Status quo bias Title A name given to the resource Predicting the Drivers of the Intention to Use Mobile Learning in South Korea Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of Naval Architecture and Marine Engineering Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gasparotti, Carmen Rusu, Liliana Date A point or period of time associated with an event in the lifecycle of the resource 2014-06-23 Description An account of the resource This work presents a methodology for the evaluation of the vessels operability in the basin of the Black Sea. The approach proposed is based on the results provided by a wave prediction system that was implemented and validated in the Black Sea. This offers a meaningful framework in the assessment of the seakeeping performance for ships operating in different conditions. The aim of the work is to improve the seakeeping performances for various types of ships that sail in the Romanian coastal zones. Two containerships are considered, of 1300TEU and 800TEU respectively, which have however the same displacement. For predicting the ship motions induced by the various wave conditions encountered in the operational area, it is necessary to know the transfer functions for different ship speeds and heading angles. These are computed with a numerical code based on the strip theory. The predicted motions are then compared with the limit values of the relevant seakeeping criteria, considered as the criteria for checking the operability of the ship. By defining the acceptable operating boundaries, the ship behavior in waves can be quantified. The vessel meets the criteria for those combinations wave height-wave period that are below the limit curves. The results are presented as operational maps for the Black Sea basin, allowing the identification of the areas that should be avoided due to unfavorable weather conditions. The methodology proposed herewith can be extended and applied to various marine environments and types of ships.DOI: http://dx.doi.org/10.3329/jname.v11i1.17289 Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://www.banglajol.info/index.php/JNAME/article/view/17289 10.3329/jname.v11i1.17289 Language A language of the resource eng Publisher An entity responsible for making the resource available Association of Naval Architects and Marine Engineers Relation A related resource https://www.banglajol.info/index.php/JNAME/article/view/17289/13367 Source A related resource from which the described resource is derived Journal of Naval Architecture and Marine Engineering; Vol. 11 No. 1 (2014); 55-68 2070-8998 1813-8535 Subject The topic of the resource numerical wave models seakeeping performance containerships operability seakeeping criteria ship responses Title A name given to the resource Prediction of the dynamic responses for two containerships operating in the black sea Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion mathematical and numerical modeling Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Md Moktarul Alam M .R. Hasan Md Rafiqul Islam Mohamed Hadi Habaebi Ahmed Basahel Mandeep Singh Date A point or period of time associated with an event in the lifecycle of the resource 2022-06-07 Description An account of the resource Future satellite companies will use higher Ka and V bands. Rain fade is the most important issue in establishing reliable communication between Earth and satellites outside the 10 GHz band. The problem is exacerbated in the tropics by significant rainfall throughout the year. One way to deal with rainfall attenuation is to use a time-diversity strategy. Real-time rainfall attenuation data is needed to analyze time variability. However, data from higher frequency bands such as Ka and V bands cannot be used. As a result, the Synthetic Storm Technique (SST) was proposed to convert the measured real time rainfall data into rainfall attenuation data and predict the time diversity gain. The measured rainfall data was converted to rainfall attenuation data using the traditional SST method. Time diversity gains were predicted using Converted rainfall attenuation and the Matriciani model, and the measurements were significantly overestimated. A new concept of realtime rainfall with and without time delay is proposed and used to predict time diversity gain using ITU-R P. 618-13 and the measured rainfall distribution with delay. Therefore, the proposed method recommends using the measured long-term precipitation data to predict the gain from time diversity at the desired frequency. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/30103 10.3991/ijim.v16i11.30103 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/30103/11415 Rights Information about rights held in and over the resource Copyright (c) 2022 Md Rafiqul Islam, Md Moktarul Alam, M .R. Hasan, Mohamed Hadi Habaebi, Ahmed Basahel, Mandeep Singh https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 178-192 1865-7923 Subject The topic of the resource Rain rate, Rain attenuation, Synthetic Storm Technique (SST), Time diversity gain, Earth-to-satellite link, ITU-R P.618-13 Title A name given to the resource Prediction of Time Diversity Gain – Comparison Between ITU-R P.618-13 Using a Concept of Rain Rate with Delay and Synthetic Storm Technique Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of Naval Architecture and Marine Engineering Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Liu, P Colbourne, B Shin, Chin Date A point or period of time associated with an event in the lifecycle of the resource 2009-02-10 Description An account of the resource An unsteady 3D surface panel method has been developed to predict hydrodynamic load fluctuations on an ice class propeller induced by continuous variation of proximity to an ice block. The low order, time domain, combined doublet and source panel method approximates the doublet and source distribution uniformly over each panel on the propeller blades. For non-lifting bodies, i.e., the hub and ice block, only sources are distributed over the body surfaces. The simulation model is contrived in such a manner that the ice block and surrounding fluid remain stationary; and at each time step, the propeller rotates and advances forward in the inertial reference frame. This numerical model is validated with previous fixed-proximity experimental measurements and good agreement is obtained. Prediction of the fluctuating hydrodynamic load is carried out as a full dynamic interaction between the ice block and the propeller. Results for this study are compared with previous fixed-proximity numerical models and experiments. The new dynamic model establishes a basis for analysis of a more realistic fluid-structure interaction, which could, in the future, include ice block acceleration due to suction force and ice block impact loading on the propeller blade and shaft. Keywords: Marine Propulsion, Panel Methods, Unsteady Loading, Ice-Propeller Interaction doi: 10.3329/jname.v2i1.2026 Journal of Naval Architecture and Marine Engineering 2(1)(2005) 15-20 Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://www.banglajol.info/index.php/JNAME/article/view/2026 10.3329/jname.v2i1.2026 Language A language of the resource eng Publisher An entity responsible for making the resource available Association of Naval Architects and Marine Engineers Relation A related resource https://www.banglajol.info/index.php/JNAME/article/view/2026/1886 Source A related resource from which the described resource is derived Journal of Naval Architecture and Marine Engineering; Vol. 2 No. 1 (2005); 15-20 2070-8998 1813-8535 Subject The topic of the resource Marine Propulsion Panel Methods Unsteady Loading Ice-Propeller Interaction Title A name given to the resource Prediction of transient loading on a propeller from an approching ice block Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of Naval Architecture and Marine Engineering Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dey, Parsenjit Sarkar, Abhijit Das, Ajoy Kumar Date A point or period of time associated with an event in the lifecycle of the resource 2015-06-30 Description An account of the resource Heat transfer due to forced convection of copper water based nanofluid in the presence of buoyancy has been predicted by the Artificial Neural network (ANN) Gene Expression Programming (GEP). The present nanofluid is formed by mixing copper nano particles in water and the volume fractions are considered here are 0% to 15% and the Reynolds number are varying from 80 to 180. The buoyancy effect is done by introducing Richardson number (Ri) as 1 and -1. The back propagation algorithm is used to train the network. The present ANN and GEP models are trained by the input and output data which has been obtained from the numerical simulation, performed in finite volume based Computational Fluid Dynamics (CFD) commercial software Fluent. The numerical simulation based results are compared with the back propagation based ANN and GEP results. It is found that the mixed convection heat transfer of water based nanofluid can be predicted correctly by both ANN and GEP  but GEP is found more efficient. It is also observed that the back propagation ANN and GEP both can predict the heat transfer characteristics of nanofluid very quickly compared to standard CFD method. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://www.banglajol.info/index.php/JNAME/article/view/21812 10.3329/jname.v12i1.21812 Language A language of the resource eng Publisher An entity responsible for making the resource available Association of Naval Architects and Marine Engineers Relation A related resource https://www.banglajol.info/index.php/JNAME/article/view/21812/16377 Source A related resource from which the described resource is derived Journal of Naval Architecture and Marine Engineering; Vol. 12 No. 1 (2015); 57-71 2070-8998 1813-8535 Subject The topic of the resource Mixed forced convection Circular cylinder Nanofluid Neural network Gene Expression Title A name given to the resource Prediction of unsteady mixed convection over circular cylinder in the presence of nanofluid- A comparative study of ANN and GEP Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Numerical Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Huda, Asrul Ardi, Noper Date A point or period of time associated with an event in the lifecycle of the resource 2021-04-23 Description An account of the resource Business Intelligence is very popular and useful for a better understanding of business progress these days, and there are many different methods or tools being used in Business Intelligence. It uses combination of artificial intelligence, data mining, math, and statistic to gain better understanding and insight on the business process performance. As employees have an important role in business process, the desire to have a tool for classifying and predicting their wages are desirable. In this research, we tried to analyzed dataset from Human Resource Department, and this dataset can be used to analyst the data in order to draw a conclusion about whether any employees would prematurely leave the company, and then, a preventive action based on those parameters can be proposed. This is a kind of predictive analytic system which bases on Naïve Bayes, and it can predict whether an employee would leave or stay according to his or her characteristics. But the Naïve Bayes itself does not enough. So we develop a way to solve the problem using uncertain Numeric features classification on it. The accuracy of the result is depended on the amount and effectiveness of the training sets. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/20907 10.3991/ijim.v15i08.20907 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/20907/9103 Rights Information about rights held in and over the resource Copyright (c) 2021 Asrul Huda, Noper Ardi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 08 (2021); pp. 172-181 1865-7923 Subject The topic of the resource Predictive Analytic Naïve Bayes Business Intelligence Human Resource Title A name given to the resource Predictive Analytic on Human Resource Department Data Based on Uncertain Numeric Features Classification Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ismail, Mohammad Razak, Razli Che Yaakob, Mohd Rafi Zakaria, Mohd Nazri Hanum, Nadia Luqman, Azyanee Date A point or period of time associated with an event in the lifecycle of the resource 2016-04-28 Description An account of the resource This preliminary analysis examines mobile marketing usage among Generation Y. This study investigates the level of mobile marketing usage among Gen Y and to identify the relationships between attitude, subjective norm, perceived behavioural control, perceived risk, behavioural intention and actual usage. This study utilizes self-administered survey questionnaires by using 115 students from University Malaysia Kelantan. Overall, the results provides verification of a positive relationship between the constructs of attitude, subjective norm, perceived behavioural control and perceived risk on intention to use mobile marketing services. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/5545 10.3991/ijim.v10i2.5545 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/5545/3899 Rights Information about rights held in and over the resource Copyright (c) 2017 Mohammad Ismail, Razli Che Razak, Mohd Rafi Yaakob, Mohd Nazri Zakaria, Nadia Hanum, Azyanee Luqman Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 2 (2016); pp. 49-57 1865-7923 Subject The topic of the resource Mobile Marketing Actual Usage Behavioural Intention Title A name given to the resource Predictive Modelling of Mobile Marketing Usage among Generation Y: A Preliminary Survey Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Roslan, Nur Ain Nabilah Mohd Ayub, Ahmad Fauzi Ghazali, Norliza Date A point or period of time associated with an event in the lifecycle of the resource 2020-09-11 Description An account of the resource This study was carried out to identify the predictors of instant messaging use for academic purposes among undergraduates at Faculty of Educational Studies in Universiti Putra Malaysia (UPM). Predictors studied were perceived usefulness, perceived ease of use, perceived enjoyment, perceived convenience, attitude toward use and behavior intention to use instant messaging for academic purposes. A total of 285 samples were selected from undergraduates. Data were collected in a quantitative manner using a questionnaire. The inferential statistic confirmed the significant positive relationship between perceived usefulness, perceived ease of use, perceived enjoyment, perceived convenience, attitude toward use and behavior intention with the use of instant messaging for academic purposes. All relationship was identified as moderate. Also, the multiple linear regressions analysis was used to identify predictors of six independent variables that contributed towards the use of instant messaging. Finally, the results showed the predictors of instant messaging use for academic purposes amongst students were the perceived usefulness, perceived convenience and attitude towards the use of instant messaging. The study indicated that when students feel by using the instant messaging is useful and convenience to them, they will use it. Besides that, positive attitudes towards using instant messaging is among critical factor for the students to use it. This finding further suggests that students in general positively view of instant messaging as a useful tool that supports them in communicating between peers and lecturers. This further suggests that instant messaging platforms are likely to have a positive perception and students feel pleased to use instant messaging as tools of communication. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/15155 10.3991/ijim.v14i15.15155 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/15155/7775 Rights Information about rights held in and over the resource Copyright (c) 2020 Ahmad Fauzi Mohd Ayub, Nur Ain Nabilah Roslan, Norliza Ghazali Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 15 (2020); pp. 195-207 1865-7923 Subject The topic of the resource Instant Messaging use of Instant Messaging for academic purpose technology acceptance model. Title A name given to the resource Predictor of Instant Messaging Use among Students for Academic Purpose Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Nik Ahmad, Nik Azlina Abdullah, Munaisyah Mohd Lokman, Anitawati Suhaimi, Ahmad Iqbal Hakim Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-05 Description An account of the resource The user experience, often known as UX, is the key factor in determining a product success and increase user’s acquisition. However, this field of research lacks conceptual and practical models to follow when designing pervasive technologies such as mobile augmented reality (MAR). To convey a pleasant UX, it is necessary to identify the contributing factor and the components that influence the enhancement of the MAR design. The findings of the study indicated that emotions are the main factor that drives the user’s perception and hence, their choice and pleasure. This paper presents a preliminary model for designing an emotional UX mobile augmented reality application with the use of Kansei engineering approach. Ultimately, this model will provide insight into the design fundamentals that influence the user experiences. The outcomes of this study will assist researchers and designers in shaping the emotional user experience design. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35201 10.3991/ijim.v17i07.35201 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35201/13005 Rights Information about rights held in and over the resource Copyright (c) 2023 Nik Azlina Nik Ahmad, Prof. Ts. Dr. Anitawati Mohd Lokman https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 07 (2023); pp. 32-46 1865-7923 Subject The topic of the resource augmented reality design model emotional UX Kansei Engineering user experience Title A name given to the resource Preliminary Emotional User Experience Model for Mobile Augmented Reality Application Design: A Kansei Engineering Approach Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of Open Access to Law Publisher An entity responsible for making the resource available Cornell University Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Leucci, Stefano Date A point or period of time associated with an event in the lifecycle of the resource 2014-09-12 Description An account of the resource Open data is fuel for the future economy. Opening and sharing data owned by public bodies, communities and companies has an incredible economic value. This will potentially lead our society to a new data-driven thinking paradigm. They also enable a smarter urban space where companies can provide better and innovative services. In particular, accessing to government data held by public bodies generates accountability, transparency and fosters economic growth. Two main aspects define data as open: data formats and licenses. This paper aims at listing some preliminary notes on the copyright framework in which open data are released and presenting the idea of considering licenses as metadata. Many tools, according to the semantic web paradigm, aim at enforcing this aspect, managing data exchange in a more compliance way and reducing costs for reuse of data. Finally, a research path for a new approach to digital ownership will be presented. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://ojs.law.cornell.edu/index.php/joal/article/view/30 Language A language of the resource eng Publisher An entity responsible for making the resource available Journal of Open Access to Law Relation A related resource https://ojs.law.cornell.edu/index.php/joal/article/view/30/39 Source A related resource from which the described resource is derived Journal of Open Access to Law; Vol. 2 No. 1 (2014) 2372-7152 Subject The topic of the resource IPRs copyright copyleft open data right expression language Title A name given to the resource Preliminary Notes on Open Data Licensing Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed article transdisciplinary approach