scholarly journals Data Soup Webinar, December 16, 2021: hosted by the Data Curation Network and the Journal of eScience Librarianship

2021 ◽  
pp. e1232
Keyword(s):  
Research Data ◽  
Data Curation ◽  
Special Issue ◽  
Data Discovery ◽  
Longitudinal Surveys ◽  
Subject Areas ◽  
Independent Model

Data Soup is a collaboration between the Journal of eScience Librarianship (JeSLIB) and the Data Curation Networkto host a series of community focused webinars/discussions to exchange practices for curating research data of different formats or subject areas among data curators. The lineup of the inaugural webinar includes the following speakers and topics from the recent JeSLIB Special Issue: Data Curation in Practice: Creating Guidance for Canadian Dataverse Curators: Portage Network’s Dataverse Curation Guide Alexandra Cooper, Michael Steeleworthy, Ève Paquette-Bigras, Erin Clary, Erin MacPherson, Louise Gillis, and Jason Brodeur, https://escholarship.umassmed.edu/jeslib/vol10/iss3/2; Active Curation of Large Longitudinal Surveys: A Case Study Inna Kouper, Karen L. Tucker, Kevin Tharp, Mary Ellen van Booven, and Ashley Clark, https://doi.org/10.7191/jeslib.2021.1210; Data Curation through Catalogs: A Repository-Independent Model for Data Discovery Helenmary Sheridan, Anthony J. Dellureficio, Melissa A. Ratajeski, Sara Mannheimer, and Terrie R. Wheeler, https://doi.org/10.7191/jeslib.2021.1203.

scholarly journals Data Curation through Catalogs: A Repository-Independent Model for Data Discovery

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Helenmary Sheridan ◽  
Anthony J. Dellureficio ◽  
Melissa A. Ratajeski ◽  
Sara Mannheimer ◽  
Terrie R. Wheeler
Keyword(s):  
Community Of Practice ◽  
Academic Libraries ◽  
Gold Standard ◽  
Research Data ◽  
Data Curation ◽  
Viable Alternative ◽  
Potential Solution ◽  
Data Discovery ◽  
Data Repositories ◽  
Independent Model

Institutional data repositories are the acknowledged gold standard for data curation platforms in academic libraries. But not every institution can sustain a repository, and not every dataset can be archived due to legal, ethical, or authorial constraints. Data catalogs—metadata-only indices of research data that provide detailed access instructions and conditions for use—are one potential solution, and may be especially suitable for "challenging" datasets. This article presents the strengths of data catalogs for increasing the discoverability and accessibility of research data. The authors argue that data catalogs are a viable alternative or complement to data repositories, and provide examples from their institutions' experiences to show how their data catalogs address specific curatorial requirements. The article also reports on the development of a community of practice for data catalogs and data discovery initiatives.

scholarly journals How Data Curation Enables Epistemically Responsible Reuse of Qualitative Data

2021 ◽  
Author(s):  
Sebastian Karcher ◽  
Dessislava Kirilova ◽  
Christiane Pagé ◽  
Nic Weber
Keyword(s):  
Qualitative Research ◽  
Quantitative Research ◽  
Qualitative Data ◽  
Management Practices ◽  
Secondary Analysis ◽  
Research Data ◽  
Data Curation ◽  
Special Issue ◽  
Technological Advances ◽  
Recent Trends

Data sharing and reuse are becoming the norm in quantitative research. At the same time, significant skepticism still accompanies the sharing and reuse of qualitative research data on both ethical and epistemological grounds. Nevertheless, there is growing interest in the reuse of qualitative data, as demonstrated by the range of contributions in this special issue. In this research note, we address epistemological critiques of reusing qualitative data and argue that careful curation of data can enable what we term “epistemologically responsible reuse” of qualitative data. We begin by briefly defining qualitative data and summarizing common epistemological objections to their shareability or usefulness for secondary analysis. We then introduce the concept of curation as enabling epistemologically responsible reuse and a potential way to address such objections. We discuss three recent trends that we believe are enhancing curatorial practices and thus expand the opportunities for responsible reuse: improvements in data management practices among researchers, the development of collaborative curation practices at repositories focused on qualitative data and technological advances that support sharing rich qualitative data. Using three examples of successful reuse of qualitative data, we illustrate the potential of these three trends to further improve the availability of reusable data projects.

scholarly journals Analisis proses bisnis kurasi data penelitian di Pusat Data dan Dokumentasi Ilmiah

2021 ◽  
Vol 17 (2) ◽  
pp. 223-237
Author(s):  
Seno Yudhanto ◽  
Laksmi Laksmi
Keyword(s):  
Process Model ◽  
Business Processes ◽  
Research Data ◽  
Data Curation ◽  
Case Study Approach ◽  
Policy Documents ◽  
Study Approach ◽  
Three Stages ◽  
Collection Methods

Introduction. This study aims to identify research data curation activities and business processes at PDDI LIPI Data Collection Methods. This research used a case study approach with interviews and observations of five informants from  June to July 2021. Data Analysis Three stages of coding are used to sort, identify, and associate categories with existing theories. Presentation of data was conducted through the description of entities from business processes based on the business process model and notation (BPMN). Results and Discussion. Four main activities of the curation process were carried out. The data owners and curators become actors in the process, and between the two requires trust, communication, and collaboration in their implementation. In addition, validation of the business processes was conducted to show that the process has been running scientifically. Conclusion. The flow of knowledge in these activities is documented in a structured manner based on mapped business procedures and processes. It is necessary to conduct periodic reviews and analyzes of time and resources. Further research should focus on human resources, policy documents, and facilities related to research data curation activities.

scholarly journals Data Curation in Practice: Extract Tabular Data from PDF Files Using a Data Analytics Tool

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Allis J. Choi ◽  
Xuying Xin
Keyword(s):  
Data Analytics ◽  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
State University ◽  
Tabular Data ◽  
Data Discovery ◽  
Penn State ◽  
Efficient Data ◽  
General Data

Data curation is the process of managing data to make it available for reuse and preservation and to allow FAIR (findable, accessible, interoperable, reusable) uses. It is an important part of the research lifecycle as researchers are often either required by funders or generally encouraged to preserve the dataset and make it discoverable and reusable. This has been especially important as the Open Access (OA) policy is being implemented in many institutions across the nation. In facilitating research data discovery and enhancing its easier reuse, an efficient data repository and its data curation play key roles. In this article, we briefly discuss the local institutional repository at Penn State University and the general data curation practices we adopt for the deposited files and datasets, then we focus on a data analytics tool that has recently been applied to extract tabular data from PDF files. This is an enhancement to the existing data curation practices as it adds additional tabular data to deposits with PDF files where tables are often embedded and not easily reused.

Context-Based Roles and Competencies of Data Curators in Supporting Research Data Lifecycle Management: Multi-Case Study in China

Libri ◽  
2019 ◽  
Vol 69 (2) ◽  
pp. 127-137
Author(s):  
Zhenjia Fan
Keyword(s):  
Research Question ◽  
Research Data ◽  
Data Reuse ◽  
Data Curation ◽  
Practical Significance ◽  
General Factor ◽  
Data Governance ◽  
Main Research ◽  
Data Custodian

Abstract Focusing on the main research question of what the critical roles and competencies of data curation are in supporting research data life cycle management, this paper adopts a multi-case study method, with data governance frameworks, to analyze stakeholders and data curators, and their competencies, based on different contexts from cases from enterprises and academic libraries in mainland China. Via the context and business analysis on different cases, critical roles such as data supervisor, data steward, and data custodian in guaranteeing data quality and efficiency of data reuse are put forward. Based on the general factor framework summarized via existing literature, suggestions for empowering data curators’ competencies are raised according to the cases. The findings of this paper are as follows: besides digital archiving and preservation, more emphasis should be placed on data governance in the field of data curation. Data curators are closely related but not equivalent to stakeholders of data governance. The different roles of data curators would play their own part in the process of data curation and can be specified as data supervisor, data steward, and data custodian according to given contexts. The roles, competencies, and empowerment strategies presented in this paper might have both theoretical and practical significance for the fields of both data curation and data governance.

scholarly journals Introduction to the Special Issue on New Longitudinal Data for Retirement Analysis and Policy

2021 ◽  
pp. 1-5
Author(s):  
Marco Angrisani ◽  
Anya Samek ◽  
Arie Kapteyn
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Cost Effective ◽  
Research Data ◽  
Data Sources ◽  
Special Issue ◽  
Administrative Records ◽  
The Past ◽  
Survey Questionnaires ◽  
Internet Panels

The number of data sources available for academic research on retirement economics and policy has increased rapidly in the past two decades. Data quality and comparability across studies have also improved considerably, with survey questionnaires progressively converging towards common ways of eliciting the same measurable concepts. Probability-based Internet panels have become a more accepted and recognized tool to obtain research data, allowing for fast, flexible, and cost-effective data collection compared to more traditional modes such as in-person and phone interviews. In an era of big data, academic research has also increasingly been able to access administrative records (e.g., Kostøl and Mogstad, 2014; Cesarini et al., 2016), private-sector financial records (e.g., Gelman et al., 2014), and administrative data married with surveys (Ameriks et al., 2020), to answer questions that could not be successfully tackled otherwise.

COLLABORATECOM SPECIAL ISSUE ANALYZING DISTRIBUTED WHITEBOARD INTERACTIONS

2012 ◽  
Vol 21 (03) ◽  
pp. 199-220
Author(s):  
LUTZ GERICKE ◽  
RAJA GUMIENNY ◽  
CHRISTOPH MEINEL
Keyword(s):  
Internal Structure ◽  
Team Work ◽  
Special Issue ◽  
Distributed Work ◽  
Team Members ◽  
Work Settings ◽  
Simplified Analysis ◽  
Digital Whiteboard

We present the digital whiteboard system Tele-Board, which automatically captures all interactions made on the all-digital whiteboard and thus offers possibilities for a fast interpretation of usage characteristics. Analyzing team work at whiteboards is a time-consuming and error-prone process if manual interpretation techniques are applied. In a case study, we demonstrate how to conduct and analyze whiteboard experiments with the help of our system. The study investigates the role of video compared to an audio-only connection for distributed work settings. With the simplified analysis of communication data, we can prove that the video teams were more active than the audio teams and the distribution of whiteboard interaction between team members was more balanced. This way, an automatic analysis can not only support manual observations and codings, but also give insights that cannot be achieved with other systems. Beyond the overall view on one sessions focusing on key figures, it is also possible to find out more about the internal structure of a session.

Perbandingan harga saham, volume transaksi dan return saham sebelum dan sesudah terjadi pandemi covid-19 pada PT Agung Podomoro Land, Tbk

2021 ◽  
Vol 5 (4) ◽  
pp. 720
Author(s):  
Anggun Putri Romadhina ◽  
Eka Kusuma Dewi
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Research Data ◽  
Paired Sample ◽  
First Case ◽  
Significant Difference ◽  
Before And After ◽  
Stock Transaction

The first Covid-19 case in Indonesia was announced on March 2, 2020. This study aims to determine whether there is a significant difference in stock prices, stock transaction volume and stock returns due to the COVID-19 pandemic (case study at PT. Agung Podomoro Land, Tbk). This research data was taken 90 days before and 90 days after the announcement of the first case of COVID-19 in Indonesia. The data was processed by paired sample t-test, using SPSS version 20. From the results of data processing, it was shown that there was a significant difference in stock prices before and after the announcement of the first case of covid-19 in Indonesia. This is indicated by a significance value of 0.000 < 0.05 where the stock price has decreased compared to before the Covid-19 case. Meanwhile, the volume of stock transactions also showed a significant difference with a significance value of 0.007 <0.05, where the volume of stock transactions after the announcement showed a decrease. Likewise, stock returns show a significant difference with a significance value of 0.025 < 0.05 where stock returns have decreased after the announcement of the first case of covid-10 in Indonesia.  

KEPEMIMPINAN LURAH DALAM PENGELOLAAN BANK SAMPAH DI KELURAHAN RAYA KECAMATAN SINGKEP BARAT KABUPATEN LINGGA PROVINSI KEPULAUAN RIAU

2021 ◽  
pp. 13-27
Author(s):  
Agung Nurrahman ◽  
Gatiningsih Gatiningsih ◽  
Muhammad Tri Syaputra
Keyword(s):  
Environmental Issues ◽  
Research Data ◽  
Community Leaders ◽  
Structured Interviews ◽  
Political Will ◽  
Descriptive Research ◽  
Qualitative Descriptive ◽  
Waste Bank

This research focuses on how leadership has a major role in addressing environmental issues, especially through the garbage bank program as a form of case study. Furthermore, the problems that occur in the midst of society are often rely solely on political will or political desire to solve them. The research is to know and learn Lurah's (head of village) leadership in the management of waste banks specifically. This research is qualitative descriptive research. Data collection techniques through structured interviews, documentation and observations. Researchers conducted an analysis using leadership theory from Yukl, where the theory discusses leadership comprehensively. Researchers only focus on five parts of the concept that are considered relevant, namely: visionary, guidance, affiliative, democratic and communicative concepts. The results of this study based on these dimensions are good enough Lurah (head of village) leadership. But there are several things that are considered able to optimize the running of the program through the role of Lurah (Head of village) leadership, namely: first, involving active knots and community leaders such as MUI, academics to support scientific aspects, and professionals in the field of practical management. Keywords: Leadership, Head of Village, Environmental Issues, Waste Management, Waste Bank  

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