Abstract:Due to the comparatively more recent emergence of data retrieval systems than text-based search engines, the former have still yet to attain similar maturity in terms of standards and techniques. Most of the existing solutions for data retrieval are more or less makeshift adaptations of text retrieval systems rather than purpose-built solutions specially designed to cater to the particular peculiarities, subtleties, and unique requirements of research datasets. In this paper we probe into the key differences b… Show more
“…Face-to-face interviews; address aims 1 & 2, and is reported in [32] 3. Market appraisal and review; addresses aim 1, and is reported in [17,26] 4. A technical experiment comparing data retrieval (DR) with traditional information retrieval (IR); addresses aims 2 & 3, and is reported in [16] Methods 1 and 2 above (questionnaire and interview) were conducted sequentially, the purpose of the latter being chiefly to probe further into and expand upon some of the findings and hints from the former.…”
Section: Methodsmentioning
confidence: 99%
“…In computing file sizes, we considered for text retrieval (research publications) only full research papers; and for data retrieval (research datasets), both the dataset itself and any documentation(s) it comes with. Detailed findings and discussions may be found in [16,17].…”
Section: A Technical Experiments Comparing Dr With Traditional Irmentioning
confidence: 99%
“…Notwithstanding this lacuna, however, various efforts among institutions and research centers towards developing RDM products have resulted in user-needs studies prior to system design and made evident attempts to accommodate those needs [1,[13][14][15]. But, though notable, the designs of these systems still leave much room for improvement [16,17].…”
Research data repositories perform many useful functions, the key ones being the storage of research datasets, and making the same discoverable for potential reuse. Over the years, various criteria for assessing the user-centeredness of information systems have been developed and standards have gradually been improved. However, there has been less development in case of research data management (RDM) systems. By means of a combination of userfocused research methods viz. questionnaire surveys, face-to-face interviews, a systematic appraisal of existing services and a technical experiment, we have sought to understand the meaning of user-centeredness pertaining to research data repositories, and identify some key indicators of it. We have furthermore translated our findings into design requirements based on which we propose to develop and test a prototype of a user-centered RDM system. This paper reports on how we identified the design requirements that would make the RDM systems more user-centered.
“…Face-to-face interviews; address aims 1 & 2, and is reported in [32] 3. Market appraisal and review; addresses aim 1, and is reported in [17,26] 4. A technical experiment comparing data retrieval (DR) with traditional information retrieval (IR); addresses aims 2 & 3, and is reported in [16] Methods 1 and 2 above (questionnaire and interview) were conducted sequentially, the purpose of the latter being chiefly to probe further into and expand upon some of the findings and hints from the former.…”
Section: Methodsmentioning
confidence: 99%
“…In computing file sizes, we considered for text retrieval (research publications) only full research papers; and for data retrieval (research datasets), both the dataset itself and any documentation(s) it comes with. Detailed findings and discussions may be found in [16,17].…”
Section: A Technical Experiments Comparing Dr With Traditional Irmentioning
confidence: 99%
“…Notwithstanding this lacuna, however, various efforts among institutions and research centers towards developing RDM products have resulted in user-needs studies prior to system design and made evident attempts to accommodate those needs [1,[13][14][15]. But, though notable, the designs of these systems still leave much room for improvement [16,17].…”
Research data repositories perform many useful functions, the key ones being the storage of research datasets, and making the same discoverable for potential reuse. Over the years, various criteria for assessing the user-centeredness of information systems have been developed and standards have gradually been improved. However, there has been less development in case of research data management (RDM) systems. By means of a combination of userfocused research methods viz. questionnaire surveys, face-to-face interviews, a systematic appraisal of existing services and a technical experiment, we have sought to understand the meaning of user-centeredness pertaining to research data repositories, and identify some key indicators of it. We have furthermore translated our findings into design requirements based on which we propose to develop and test a prototype of a user-centered RDM system. This paper reports on how we identified the design requirements that would make the RDM systems more user-centered.
The last 30 years have seen significant investments in the development of digital infrastructures to support archaeological practice. From field recording systems to national data archives, these have come to play an increasingly dominant role in the collection, management, and access to the data used in the creation of new archaeological knowledge. Although a lot of attention has been paid to the technical creation of such systems, much less is said about the wider political, cultural and social aspects of these infrastructures. Focusing on large-scale national or transnational data infrastructures, this paper seeks to lay the groundwork for such an inquiry by making the infrastructure the centre of analysis, rather than its technical aspects. The paper asks how infrastructures emerge, are sustained, become embedded in practice, and how they subsequently contextualise and influence the formation of archaeological knowledge. The underlying and frequently hidden complexities of infrastructures and their nature as always under development should make a critical understanding of their implementation and application, the opportunities they offer, the constraints they impose, and the perspectives they adopt, an important precursor to their knowledgeable use in practice.
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