Data management and curation: Professional development for librarians needed

Riley, Ann Campion

doi:10.5860/crln.76.9.9385

Cited by 4 publications

(3 citation statements)

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“…Governance structures are needed for managing human subjects-related data, as well, because taking care of sensitive information requires not only establishing standards and norms of practice, but fostering culture change towards better data stewardship (Hartter et al, 2013). Besides of these functions, data governance in this environment enables proper access and sharing (Riley, 2015), even if data ownership is often ambiguous, because if someone has a stake in research data, it does not mean that they are owners of that data (Briney, 2015). Many of DG skills, such as dealing with licensing terms and agreements, as well as knowledge about copyright are already possessed by librarians (Krier and Strasser, 2014).…”

Section: Data Governance In Detailmentioning

confidence: 99%

Data governance, data literacy and the management of data quality

Koltay

2016

IFLA Journal

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Data governance and data literacy are two important building blocks in the knowledge base of information professionals, involved in supporting dataintensive research, and both address data quality and research data management. Applying data governance to research data management processes and data literacy education helps in delineating decision domains and defining accountability for decision making. Adopting data governance is advantageous, because it is a service based on standardised, repeatable processes and is designed to enable the transparency of data-related processes and cost reduction. It is also useful, because it refers to rules, policies, standards; decision rights; accountabilities and methods of enforcement. Therefore, although it received more attention in corporate settings and some of the skills related to it are already possessed by librarians, knowledge on data governance is foundational for research data services, especially as it appears on all levels of research data services, and is applicable to big data. Keywords Data-intensive research, data librarian, data governance, data literacy, research data services On this background, a review of the literature was done in order to identify and examine significant constituents of the knowledge base that is crucial for information professionals, involved in supporting data-intensive research. The first constituent is data governance (DG), which is extensively dealt with mainly in the corporate (business) sector, and is explored in this paper with the belief that bringing it into the picture will enable better research data services. The second one is data literacy, about which there is a massive body of literature, among others in the form of review articles (MacMillan, 2014; Koltay, 2015a, Koltay 2015b). Data literacy is closely related to research data services that include research data management (RDM). As the concept of RDSs itself and data literacy education are still evolving, their relationship to data governance requires examination that may lead to some kind of synthesis. The management of data quality is also inspected in order to determine to what extent it plays the role of an interface between these two constituents. Accordingly, this writing is built on three core terms. Data governance can be defined as the exercise of decision-making and authority that comprises a system of decision rights and accountabilities that is based on agreed-upon models, which describe who can take what actions, when and under what circumstances, using what methods (DGI, 2015a). While the various definitions of data literacy will be discussed below, we define it here as the ability to process, sort, and filter vast quantities of information, which requires knowing how to search, how to filter and process, to produce and synthesize it (Johnson, 2012). This definitions is in accordance with the idea, expressed by Schneider (2013), that the boundaries between information in information literacy and data literacy are blurring, because these boundaries never...

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Section: Data Governance In Detailmentioning

confidence: 99%

Data governance, data literacy and the management of data quality

Koltay

2016

IFLA Journal

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“…Data sharing is associated with open data that should not be conflated with open access publishing. Besides of this, librarians have to be familiar not only with researchers' data needs, but also with the legitimate barriers to data sharing and making data publicly available (Riley, 2015). We know that data sharing in the scholarly environment is often motivated by research funders' mandates, although they do not exist in all countries.…”

Section: The Challenge Of the New Research Environmentmentioning

confidence: 99%

Research 2.0 and Research Data Services in academic and research libraries: priority issues

Koltay

2017

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Purpose The purpose of this paper is to examine the role of Research Data Services (RDSs), consisting of research data management, data curation and data stewardship, and data literacy education in supporting Research 2.0. Besides this, theory and principles, as well as selected examples of best practices in the relevant fields are presented. Design/methodology/approach A literature-based overview of actual insights on tasks and roles that academic and research libraries have to fulfil in order to react to the developments generated by the appearance and growing importance of Research 2.0 is provided. Taking the wide spectre of related issues into account, the discussion is limited to RDSs. Findings Even though Research 2.0 is evolving in different countries and some local environments in dissimilar ways, its data-intensive nature requires the helping presence of academic libraries and librarians. Being an emerging phenomenon, it will undoubtedly take several different shapes as it works itself out in time, but librarians should try to discover service niches, which may not be covered by other academic organisations, or their coverage is only partial or even unsatisfactory. Research limitations/implications Taking the wide spectre of issues into account, the review of literature is limited to the period between 2014 and 2016. Originality/value The paper intends to add to the body of knowledge about the relationship between RDSs and Research 2.0, as well as about the association between the components of the former.

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“…7 Ann Campion Riley described librarians, subject specialists, and technical staff as consultants in the data management realm. 8 Riley pointed to the trend of data concierge, which implies a specific ability to connect a user to many different aspects of research data management.…”

Section: Mentoringmentioning

confidence: 99%

Supporting scholarly communication: Considerations for library leadership

Herold

2016

crln

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Data management and curation: Professional development for librarians needed

Cited by 4 publications

References 0 publications

Data governance, data literacy and the management of data quality

Data governance, data literacy and the management of data quality

Research 2.0 and Research Data Services in academic and research libraries: priority issues

Supporting scholarly communication: Considerations for library leadership

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