首页 >> 知识交换中心 >> 最佳实践与案例

最佳实践与案例

2020年12月

发表日期:2020-12-05来源:放大 缩小

1

Register Now: Webinar 5: Urban Data Observatory Framework and ClimateSmart City Assessment Framework in India

来源: CODATA, 2020/6/25

简介: The rapid pace of urbanization in India demands that cities use data in a strategic manner to ensure sustainable and resilient development. This requires an intervention at the city level to facilitate the use of information for decision support through tools like data observatories. Through the research conducted by the Urban Resilience Unit, we can infer that cities need support with decision-making and using data effectively. The economic and social cost of urban decision making does prove the case for design of decision frameworks and establishment of data observatories to support Indian cities. Through this presentation, the author will highlight global case studies in which data observatories have facilitated smart decision making to reduce citywide and community risks to shocks and stresses. The author will also discuss the status of Indian cities and initiatives undertaken by the Indian national Government to promote data-informed decision making within urban governance.

Forums    Case studies    Framework

2

Alter-Value in Data Reuse: Non-Designated Communities and Creative Processes

来源: CODATA, 2020/5/22

简介: This paper builds on the investigation of data reuse in creative processes to discuss ‘epistemic pluralism’ and data ‘alter-value’ in research data management. Focussing on a specific non-designated community, we conducted semi-structured interviews with five artists in relation to five works. Data reuse is a critical component of all these works. The qualitative content analysis brings to light agonistic-antagonistic practices in data reuse and shows multiple deconstructions of the notion of data value as it is portrayed in the data reuse literature. Finally, the paper brings to light the benefits of including such practices in the conceptualization of data curation.

Conferences, Journals and other publications   Case studies  

3

Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study

来源: CODATA, 2020/5/6

简介: To disseminate this information, the Data Science for Social Impact research group at the University of Pretoria, South Africa, has worked on curating and applying publicly available data in a way that is computer readable so that information can be shared to the public – using both a data repository and a dashboard. Through collaborative practices, a variety of challenges related to publicly available data in South Africa came to the fore. These include shortcomings in the accessibility, integrity, and data management practices between governmental departments and the South African public. In this paper, solutions to these problems will be shared by using a publicly available data repository and dashboard as a case study.

Conferences, Journals and other publications    Case studies   

4

Public Review of DDI-Cross Domain Integration and Collaboration with the CODATA Decadal Programme

来源: CODATA, 2020/5/14

简介: The Data Documentation Initiative (DDI) Alliance is pleased to announce the first Public Review of DDI – Cross Domain Integration (DDI-CDI), a specification aimed at helping implementers integrate data across domain and institutional boundaries. Although historically the DDI Alliance has produced specifications aimed at the Social, Behavioral, and Economic (SBE) sciences, DDI-CDI is designed to serve a broader audience, reflecting the need across many different domains to exchange and reuse data which comes from outside the traditional range of data sources. It is intended to be used as a stand-alone specification for data integration in any domain or combination of domains and it can be used in combination with existing DDI specifications (e.g., DDI-Codebook and DDI-Lifecycle).

Assessment     

5

Knowledge Service for Disaster Risk Reduction: A Practice Using Big Data Technology

来源: ICSU, 2020/4/15

简介: Under the dual influences of global climate change and human activities, the frequency and the intensity of natural disasters have been growing in recent years, and resulting in increasingly serious disaster losses. Disaster Risk Reduction (DRR) is thus a common and urgent global challenge. Driven by the United Nations Educational, Scientific and Cultural Organization’s (UNESCO’s) DRR mission, the DRR Knowledge Service (DRRKS) System was founded under the UNESCO International Knowledge Centre for Engineering Sciences and Technology. The remit of the System is to formulate global disaster metadata standards; build global disaster metadata database; integrate global or regional disaster data; establish disaster knowledge services; carry out disaster prevention education, training, and technology promotion; and form comprehensive technology and service capabilities. The DRRKS System has established 16 online knowledge applications, as shown on their homepage, to mine, analyze, and visualize disaster information based on Big Data resources.

Case studies    Key Techniques &Tools   

6

Dataset after Seven Years Simulating Hybrid Energy Systems with Homer Legacy

来源: CODATA, 2020/3/23

简介: Homer Legacy software is a well-known software for simulation of small hybrid systems that can be used for both design and research. This dataset is a set of files generated by Homer Legacy bringing the simulation results of hybrid energy systems over the last seven years, as a consequence of the research work led by Dr. Alexandre Beluco, Federal University of Rio Grande do Sul, in southern Brazil. The data correspond to twelve papers published in the last seven years. Two of them describe hydro PV hybrid systems with photovoltaic panels operating on the water surface of reservoirs. One of these twelve papers suggests the modeling of hydropower plants with reservoirs and the other the modeling of pumped hydro storage, and a third still uses these models in a place that could receive both the two types of hydroelectric power plant. The other simulated hybrid systems include wind turbines, diesel generators, batteries, among other components. This data article describes the files that integrate this dataset and the papers that have been published presenting the hybrid systems under study and discussing the results. The files that make up this dataset are available on Mendeley Data repository at https://doi.org/10.17632/ybxsttf2by.2.

Conferences, Journals and other publications   Case studies  

7

Risk Assessment for Scientific Data

来源: CODATA, 2020/3/12

简介: Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data loss. This paper presents an analysis of data risk factors that scientific data collections may face, and a data risk assessment matrix to support data risk assessments to help ameliorate those risks. The goals of this work are to inform and enable effective data risk assessment by: a) individuals and organizations who manage data collections, and b) individuals and organizations who want to help to reduce the risks associated with data preservation and stewardship. The data risk assessment framework presented in this paper provides a platform from which risk assessments can begin, and a reference point for discussions of data stewardship resource allocations and priorities.

Conferences, Journals and other publications    Assessment   

8

How Do People Make Relevance Judgment of Scientific Data?

来源: CODATA, 2020/3/9

简介: Many efforts have been made to explore user relevance judgment for documents, images, web pages and music in the field of information retrial. However, there is a lack of attention to scientific data even when scientists and researchers are facing an increasing data deluge. In this study, we carried out a two-phase (first exploratory and then empirical) research to explore relevance judgment patterns of scientific data users. In the exploratory study, we interviewed 23 subjects who participated in a national competition related to scientific data. Five relevance criteria (RC) and seven paths of their usage were identified by content analysis of the transcribed records of the interview. Based on the results of the first phase, seven hypotheses were proposed and verified by partial least squares structural equation modelling (PLS-SEM). The study identified five RC, i.e. topicality, accessibility, authority, quality and usefulness used by scientific data users. Three patterns were identified including 1) data topicality judgment as the first step or starting point, 2) data reliability judgment as the necessary process and 3) data utility judgment as final purpose. These findings provide new understanding of relevance judgement and behaviours of scientific data users, and could benefit the design for cognitive retrieval systems and algorithms specific to scientific data.

Conferences, Journals and other publications   Case studies  

9

Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group

来源: RDA, 2020/6/16

简介: In the course of the active phase of the RDA Data Versioning Interest Group and then RDA Data Versioning Working Group, 38 use cases from about 33 organisations representing different domains and data types were documented. These are presented below along with contextual information including definitions, workflows and ‘best practices’ for versioning. Analysing the collected use cases and other resources on data versioning we were able to extract versioning patterns. These versioning patterns form the basis of the data versioning principles presented in the Final Report of the RDA Data Versioning Working Group.

Guidelines    Case studies   

10

Principles and best practices in data versioning for all data sets big and small

来源: RDA, 2020/1/16

简介: The Research Data Alliance (RDA) Data Versioning Working Group produced this white paper to document use cases and practices, and to make recommendations for the versioning of research data. To further adoption of the outcomes, the Working Group contributed selected use cases and recommended data versioning practices to other groups in RDA and W3C. The outcomes of the RDA Data Versioning Working Group add a central element to the systematic management of research data at any scale by providing recommendations for standard practices in the versioning of research data. These practice guidelines are illustrated by a collection of use cases.

Guidelines   Best Practices