Studying Up Machine Learning Data

Research in machine learning (ML) has argued that models trained on incomplete or biased datasets can lead to discriminatory outputs. In this commentary, we propose moving the research focus beyond bias-oriented framings by adopting a power-aware perspective to "study up" ML datasets. This means accounting for historical inequities, labor conditions, and epistemological standpoints inscribed in data. We draw on HCI and CSCW work to support our argument, critically analyze previous research, and point at two co-existing lines of work within our research community \,---\,one bias-centered, the other power-aware. We highlight the need for dialogue and cooperation in three areas: data quality, data work, and data documentation. In the first area, we argue that reducing societal problems to "bias" misses the context-based nature of data. In the second one, we highlight the corporate forces and market imperatives involved in the labor of data workers that subsequently shape ML datasets. Finally, we propose expanding current transparency-oriented efforts in dataset documentation to reflect the social contexts of data design and production.

Food Online Business Challenges During the Pandemic in Medan City

This research aims to find out the challenges of food business by using e-business in the city of Medan and some UINSU students who sell food or small snacks. This study uses qualitatively derifrift by collecting observational data, documentation, and interviews. The results showed: 1) can still sell online at this time (covid 19). 2) The common challenge felt or experienced is, consumers who want to be fast and instant, feel afraid of failing in trying new things such as selling online in times of pandemic like this, must be extra in attracting customers who are not as usual. 3) There is a way to deal with these challenges by promoting merchandise through social media even though it has to increase the cost to do the promotion

Perancangan Sistem Informasi Distribusi Barang Menggunakan BlueSeer Enterprise Resource Planning

One of the current operational activities of PT. Geoff Maksimal Jaya is the distribution of goods, every item that has been produced will be stored in the warehouse to be entrusted or distributed to shops, wholesalers, and other related parties. However, data documentation activities related to the distribution of these goods are still carried out manually, so that access to obtain any information is still limited. In response to these problems, the purpose of this study was made to get easy access to information by utilizing the BlueSeer ERP application as a reference for designing information systems. The development method used in this research is the waterfall. It is hoped that this can help companies access information on operational activities of distributing goods effectively and efficiently. In the future, this research can be developed by adding several other aspects such as monitoring the delivery of goods in order to cover the complete access to information on operational activities of the distribution of goods.

Towards the Semantic Enrichment of Trajectories Using Spatial Data Infrastructures

The term Semantic Trajectories of Moving Objects (STMO) corresponds to a sequence of spatial-temporal points with associated semantic information (for example, annotations about locations visited by the user or types of transportation used). However, the growth of Big Data generated by users, such as data produced by social networks or collected by an electronic equipment with embedded sensors, causes the STMO to require services and standards for enabling data documentation and ensuring the quality of STMOs. Spatial Data Infrastructures (SDI), on the other hand, provide a shared interoperable and integrated environment for data documentation. The main challenge is how to lead traditional SDIs to evolve to an STMO document due to the lack of specific metadata standards and services for semantic annotation. This paper presents a new concept of SDI for STMO, named SDI4Trajectory, which supports the documentation of different types of STMO—holistic trajectories, for example. The SDI4Trajectory allows us to propose semi-automatic and manual semantic enrichment processes, which are efficient in supporting semantic annotations and STMO documentation as well. These processes are hardly found in traditional SDIs and have been developed through Web and semantic micro-services. To validate the SDI4Trajectory, we used a dataset collected by voluntary users through the MyTracks application for the following purposes: (i) comparing the semi-automatic and manual semantic enrichment processes in the SDI4Trajectory; (ii) investigating the viability of the documentation processes carried out by the SDI4Trajectory, which was able to document all the collected trajectories.

DETERMINANT MODEL OF CORPORATE DISCLOSURE SOCIAL RESPONSIBILITY

This research aims to find out the Effect of Company Size, Board of Commissioners Size, and Profitability on Corporate Social Responsibility Listed on the Indonesia Stock Exchange for the Period 2014-2018. This research approach uses an associative research approach. The method of data collection is done by means of data documentation sourced from the annual report of the Indonesia Stock Exchange. Based on the collection of samples conducted using the check list according to criteria, obtained the number of research samples as many as 6 companies from 15 populations. Research samples during the period 2014-2018 and data analysis techniques in this study are descriptive statistics, classical assumption tests that include normality tests, multicollinearity tests, and heteroskedity tests, multiple linear regression analysis, hypothesis testing which includes t test, f test and coefficient of determination. The results showed that the Size of the Company had a positive but insignificant effect on Corporate Social Responsibility Disclosure, the Size of the Board of Commissioners had a positive but insignificant effect on the disclosure of Corporate Social Responsibility, and Profitability had a positive but insignificant effect on the disclosure of Corporate Social Responsibility on Automotive companies listed on the Indonesia Stock Exchange for the period 2014-2018.

Taxing Robots as An Automation Control Policy in The Industrial Revolution Development

The development of industrial revolution in this world has led to massive automation in work areas which can be handled with robots. Therefore, it may result in some potitive and negative consequences. This paper suggests policy ideas on taxing robots to control automation in the industrial revolution development. Using qualitative method with literature reviews, data documentation and data analysis, the author raises some ideas to tax the robot as an automation control policy. This study explores the development of industrial revolution which triggers automation in some administrative and repetitive activities. Then, this paper does not only elaborate scientific journal related to robot tax, challenges, and automation as a result of industrial revolution, but also countries which have implemented this policy, so that taxing robots can be utilized as a policy to control the automation. This research found that there are some opportunities to apply the robot tax to control automation. Furthermore, the author suggested alternatives other than robot tax to deal with automation.

Management of Popo village development strategy as a marine tourism village in Takalar Regency

The purpose of this research is to find out the right tourism development strategy to be implemented in Popo village as a coastal tourism village in Takalar Regency. The method of this research is descriptive research. The instruments in this study include; Observation of Data Documentation, Interview and Questionnaire. The result of the research shows that the development of tourist villages requires support from various parties so that they can become income for the community in the tourist village. In the development of tourist villages, there are various factors including driving factors and inhibiting factors. The driving factor of the tourist village being the driving force for the promotion of the tourist village will be a factor inhibiting the development of the tourist village so that it can be accepted and managed so that it can be entered as a tourism partner village.

Do Institutional Repository Deposit Guidelines Deter Data Discovery?

Objective – This study uses quantitative methods to determine if the metadata requirements of institutional repositories (IRs) promote data discovery. This question is addressed through an exploration of an international sample of university IRs, including an analysis of the required metadata elements for data deposit, with a particular focus on how these metadata support discovery of research data objects. Methods – The researchers worked with an international universe of 243 IRs. A codebook of 10 variables was developed to enable analysis of the eventual randomly derived sample of 40 institutions. Results – The analysis of our sample IRs revealed that most had metadata standards that offered weak support for data discovery—an unsurprising revelation in view of the fact that university IRs are meant to accommodate deposit and storage of all types of scholarly outputs, only a small percentage of which are research data objects. Most IRs seem to have adopted metadata standards based on the Dublin Core schema, while none of the IRs in our sample used the Data Documentation Initiative metadata that is better suited for deposit and discovery of research datasets. Conclusion – The study demonstrates that while data deposit can be accommodated by the existing metadata requirements of multi-purpose IRs, their metadata practices do little to prioritize data deposit or to promote data discovery. Evidence indicates that data discovery will benefit from additional metadata elements.

Data Documentation Tool (DDoT) user manual

This manual is intended for new users with minimal or no experience with using the Data Documentation Tool. The goal of this document is to give an overview of the main functions of DDoT. The primary focus of this document is to demonstrate functionality. Every effort has been made to ensure this document is an accurate representation of the functionality of the DDoT. For additional information about this manual, contact [email protected].

FROM EXCAVATION DATA TO HBIM ENVIRONMENT AND CLOUD SHARING: THE CASE STUDY OF <i>DOMUS REGIA, SACRARIA MARTIS ET OPIS</i> (ROMAN FORUM, ROME - ITALY)

The importance of the Digital Atlas of Rome has been crucial in order to map and analyse archaeological remains of the monumental layout of ancient Rome, enhancing the contextual connections and easing the interpretation the original city-scapes and architecture. Then, the main goal has been twofold: to recompose the archaeological framework of available knowledge and to propose reconstructive hypotheses of ancient buildings. The Domus Regia, Sacraria Martis et Opis is one of these important buildings, excavated and documented over the years. In this regard, the archaeological data and the hypothetical reconstruction of the Domus Regia have been the focus of this project. In fact, the beginning of this integrative project is due to the desire to investigate how different methodology and workflows can be combined synergistically in a HBIM platform in order to ease data documentation, management and dissemination. Informative platforms and cloud solutions may be the proper solution for integrating metric data with semantic archaeological data, including and updating previous analyses. For this reason, the Domus Regia data has been managed inside a FOSS HBIM platform (FreeCAD), which was designed as a dynamic environment for modelling parametrically the ancient building and connecting related IFC objects with semantic information. Then, the resulted HBIM model has been valued and shared by using BIMData cloud platform and tested inside another environment developed ad-hoc for archaeological purposes.