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Budgeting data curation tasks in research projects is difficult. In this paper, we investigate the time spent on data curation, more specifically on cleaning and documenting quantitative data for data sharing. We develop recommendations on cost factors in research data management.

We make use of a pilot study conducted at the GESIS Data Archive for the Social Sciences in Germany between December 2016 and September 2017. During this period, data curators at GESIS - Leibniz Institute for the Social Sciences documented their working hours while cleaning and documenting data from ten quantitative survey studies. We analyse recorded times and discuss with the data curators involved in this work to identify and examine important cost factors in data curation, that is aspects that increase hours spent and factors that lead to a reduction of their work.

We identify two major drivers of time spent on data curation: The size of the data and personal information contained in the data. Learning effects can occur when data are similar, that is when they contain same variables. Important interdependencies exist between individual tasks in data curation and in connection with certain data characteristics.

The different tasks of data curation, time spent on them and interdependencies between individual steps in curation have so far not been analysed.

To better respond to user needs for personalized information services in the context of academic libraries, this study aims at developing a prototype to provide mobile curation services by using the concept of content curation.

This study used a mobile application software development process, which consisted of five phases: user and organizational requirements, architecture design, navigation design, page design and implementation and usability testing. Usability testing was conducted with a total of 20 college students by online surveys at a university.

Meta-analysis identified key user needs: diversification of services, more personalized services, active communication with librarians, quality improvement of information and interface improvement. User and organizational requirements derived four main service modules – namely, Curation Services, Live Chat, My Page and My Log. Usability testing regarding ease of use, perceived usefulness and satisfaction indicated that participants were satisfied with the prototype.

The study extends the discussion of quality academic library services by introducing the concept of content curation that uses the advantages of mobile technologies to overcome existing limitations in library services insufficient for meeting individual user needs.

Although many studies have discussed mobile library services, few studies have focused on developing a system for such services. The model developed in the study fills the research gap. Above all, the key modules specified by the prototype – Curation Services, Live Chat, My Page and My Log services – are expected to improve existing research and learning support services currently offered by academic libraries.

The purpose of this paper is to examine early career teachers’ Socialized Knowledge Communities (SKCs) as they relate to the pursuit of mathematics knowledge and teaching. The authors investigate Pinterest, a living data archive, as an opportunity to view teachers’ sense-making and construction of instructional resources. Through this lens, the authors examine how teachers form and share mathematical meaning individually and collectively through professional collaboration.

This work characterizes teachers’ curation of mathematical resources both in the kinds of mathematics teachers are choosing and the quality therein. Finally, the authors examine through epistemic network analysis how teachers are sense-making through a statistical approach to identifying their organization of mathematics curation by typology and cognitive process demand.

Results show that sampled teachers predominantly curate instructional resources that require students to perform standard algorithm and represent mathematics relationships in visualization within Pinterest. Additionally, the authors find the resources curated by teachers have lower cognitive demand. Finally, epistemic networks show teachers make connections among instructional resources with particular types as well as with different levels of cognitive demand as they sense-make their curated curriculum. In particular, difference in teachers’ internal consideration of the quality of tasks is associated with their years of experience.

Twenty-first century classrooms and teachers engage frequently in curation of instructional resources online. The work contributes to an emergent understanding of teachers’ professional engagement in virtual spaces by characterizing the instructional resources being accessed, shared, and diffused. Understanding the nature of the content permeating teachers’ SKCs is essential to increase teachers’ professional capital in the digital age.

This chapter identifies the five new roles that are critical to establishing and sustaining a knowledge preservation and curation practice. For each role, the authors describe fundamental responsibilities and competencies. Two of the roles support knowledge preservation, including business knowledge analyst and specialized knowledge preservationist. Three of the roles support knowledge curation including business interlocutor/translator, knowledge curator, and knowledge asset developer. Each role faces peculiar challenges in a dynamic and chaotic knowledge economy.

This chapter focuses on organizational preservation and curation capabilities. The authors define capabilities and explain how they pertain to an enterprise architecture. The authors describe preservation as it is currently practiced in relation to information and data. They also explain how preservation should be expanded to cover knowledge assets. Knowledge preservation exists today as a support capability, aligned with information and data management. Curation is described as an emerging but fragmented practice. It is modeled as a new business capability.

The purpose of this paper is to understand genomics scientists’ perceptions in data quality assurances based on their domain knowledge.

The study used a survey method to collect responses from 149 genomics scientists grouped by domain knowledge. They ranked the top-five quality criteria based on hypothetical curation scenarios. The results were compared using χ2 test.

Scientists with domain knowledge of biology, bioinformatics, and computational science did not reach a consensus in ranking data quality criteria. Findings showed that biologists cared more about curated data that can be concise and traceable. They were also concerned about skills dealing with information overloading. Computational scientists on the other hand value making curation understandable. They paid more attention to the specific skills for data wrangling.

This study takes a new approach in comparing the data quality perceptions for scientists across different domains of knowledge. Few studies have been able to synthesize models to interpret data quality perception across domains. The findings may help develop data quality assurance policies, training seminars, and maximize the efficiency of genome data management.

The purpose of this paper is to investigate how editors participate in Wikidata and how they organize their work.

This qualitative study used content analysis of discussions involving data curation and negotiation in Wikidata. Activity theory was used as a conceptual framework for data collection and analysis.

The analysis identified six activities: conceptualizing the curation process, appraising objects, ingesting objects from external sources, creating collaborative infrastructure, re-organizing collaborative infrastructure and welcoming newcomers. Many of the norms and rules that were identified help regulate the activities in Wikidata.

This study mapped Wikidata activities to curation and ontology frameworks. Results from this study provided implications for academic studies on online peer-curation work.

An understanding of the activities in Wikidata will help inform communities wishing to contribute data to or reuse data from Wikidata, as well as inform the design of other similar online peer-curation communities, scientific research institutional repositories, digital archives and libraries.

Wikidata is one of the largest knowledge curation projects on the web. The data from this project are used by other Wikimedia projects such as Wikipedia, as well as major search engines. This study explores an aspect of Wikidata WikiProject editors to the author’s knowledge has yet to be researched.

The purpose of this paper is to present a perspective on the development of digital curation education and practice in museums in the USA.

Methods used include: a historical overview of the development of digital curation, originally as a field of practice – primarily in the sciences – and then as a field of study; a case study of the adaptation of a digital curation curriculum (DigCCurr) framework developed in schools of library and information science (LIS) to a museum studies program; and a discussion of trends in digital curation practices in museums.

The case study (the digital curation certificate program of Johns Hopkins University’s museum studies program) describes a successful adaptation of the LIS DigCCurr framework in a museum studies program.

Findings could help to advance the museum field through the integration of digital curation education, practice and research.

By adopting and supporting digital curation practices, education and research, museums can reach and engage more online users seeking information about museum collections. More online users may also become onsite visitors.

There is little existing literature on digital curation education in museum studies programs.

The terms “digital curation” and “cyberinfrastructure” have been coined in the last decade to describe distinct but related concepts of how data can be managed, preserved, manipulated and made available for long‐term use. This paper aims to examine these.

The paper considers the origins of both terms and the communities that have been engaged with each of them, traces the development of the present digital environment in the USA and considers what this may mean for the future.

The paper reveals that each term has important attributes that contribute to a comprehensive understanding of the digital knowledge universe.

The paper reveals information about the development of digital preservation.