Knowledge: Amount of data

Citationsort descending Purpose Method Study Type
Addis, M. (2015).  Estimating Research Data Volumes in UK HEI. Investigated amount of data in UK Higher Education Institutions (HEI) Used existing surveys about research data to estimate an average per researcher data size in terabytes, then used data on the number of researchers at each HEI institution to estimate an overall amount Measurement, Targeted
Akers, K., & Doty J. (2013).  Disciplinary differences in faculty research data management practices and perspectives. International Journal of Digital Curation. 8(2), 5 - 26. Investigated disciplinary differences in research data management needs at Emory University Sent email invitation to participate in online survey to all employees at Emory University with faculty status. 456 out of 5,590 (8%) initiated survey. 330 responded that conduct research that generates some kind of data and filled out one question Measurement, Wider
Beagrie, N., Chruszcz J., & Lavoie B. (2008).  Keeping Research Data Safe: A Cost Model and Guidance for UK Universities. Investigated the medium to long term costs to Higher Education Institutions (HEIs) of the preservation of research data and developed guidance on these issues, including a framework for determining costs Mapped the OAIS reference model against the LIFE cost model and NASA’s Cost Estimation Toolkit; evaluated transferable practice and relative strengths and weaknesses for each; aligned the resulting model with the TRAC model; researched literature on preservation costs and reports and documentation from UK data services and funders; conducted 12 interviews to supplement and validate researched information; conducted three case studies to validate the developed methodology and illustrate the variety of costs and community and service requirements for research data. Measurement, Metrics, Targeted
Beile, P. (2014).  The UCF Research Data Management Survey: A report of faculty practices and needs. Investigated faculty data management needs and practices at the University of Central Florida Conducted an online survey containing 33 questions. There were 534 valid recipients and 97 who partially or fully completed the survey. Measurement, Wider
Bohn, R. E., & Short J. E. (2010).  How Much Information? 2009 Report on American Consumers. Investigated amount of information consumed and rates of increase in consumption in the US from 1980 to 2008 Analyzed 20 sources of data flows (such as video, television, radio, internet browsing) consumed by people Measurement, Metrics, Targeted
Fearon, D., Gunia B., Pralle B., Lake S., & Sallans A. (2013).  ARL Spec Kit 334: Research data management services. To assess early endeavors in research data services and benchmark future growth in ARL member libraries. Conducted a survey of ARL member libraries. 73 of 125 responded. Measurement, Wider
Gantz, J. F., McArthur J., Minton S., Reinsel D., Chute C., Schlichting W., et al. (2007).  The Expanding Digital Universe [White Paper]. Investigated size and rate of expansion of the digital universe worldwide in 2006 and 2007 Estimated how much data was created in a year by a base of 49 classes of devices or applications that could capture or store information; estimated number of times the data is replicated Measurement, Metrics, Targeted
Gantz, J. F., Minton S., Reinsel D., Chute C., Schlichting W., Toncheva A., et al. (2008).  The Diverse and Exploding Digital Universe [White Paper]. Investigated size and rate of expansion of the digital universe worldwide in 2006 and 2007 Estimated how much data was created in a year by a base of 49 classes of devices or applications that could capture or store information; estimated number of times the data is replicated Measurement, Targeted
Hilbert, M., & López P. (2011).  The World’s Technological Capacity to Store, Communicate, and Compute Information. Science. 332(6025), 60 - 65. Investigated amounts of total information (not unique) stored, communicated, and computed from 1986 to 2007 Used worldwide estimates in 1,120 sources for data in 60 categories (analog and digital) Measurement, Metrics, Targeted
Jerrome, N., & Breeze J. (2009).  Imperial College Data Audit Framework Implementation: Final Report. To pilot the Digital Asset Framework Methodology; evaluate the scale and scope of research data; and make recommendations accordingly Used a modified form of the Digital Asset Framework in multiple departments: used the audit framework in a first phase of investigation, then conducted an online survey and follow up interviews. Measurement, Wider
Kejser, U. Bøgvad, Johansen K. Hougaard E., Thirifays A., Nielsen A. Bo, Wang D., Strodl S., et al. (2014).  4C Project: Evaluation of Cost Models and Needs & Gaps Analysis. 4C Project: Analyzed research related to the economics of digital curation and cost and benefit modelling; investigated how well current models and tools meet stakeholders’ needs for calculating and comparing financial information; pointed out gaps to be bridged to increase the uptake of cost & benefit modelling and practices that will enable costing and comparison of the costs of alternative scenarios Evaluated and compared ten current and emerging cost and benefit models; performed consultations (in the form of a questionnaire) with 4C project stakeholders; 296 contacts were made and 164 responded (55% response rate) Measurement, Targeted
Kuipers, T., & van der Hoeven J. (2009).  PARSE.Insight: Insight into Digital Preservation of Research Output in Europe: Survey Report. Sought to gain insight into issues surrounding the preservation of digital research data; investigated amount of data stored by researchers in Europe in 2008 or 2009 and amounts projected two and five years into the future Data was obtained from a question in a larger survey designed to gain insight into infrastructure needed for digital preservation Measurement, Wider
Lesk, M. (1997).  How Much Information Is There In the World?. Investigated amount of information in the world in 1997 Estimated size based on extrapolations from select examples of data storage Measurement, Targeted
Lyman, P., & Varian H. R. (2000).  How Much Information?. Journal of Electronic Publishing. 6(2),  Investigated amount of new information created each year in the US and world in 1999 Estimated size based on research into the production of data stored on four storage media: print, film, magnetic, optical Measurement, Metrics, Targeted
Lyman, P., & Varian H. R. (2003).  How Much Information? 2003. Investigated amount of new information created each year in the US and world in 2002 Estimated size based on research into the production of data stored on four storage media: print, film, magnetic, optical Measurement, Metrics, Targeted
Manyika, J., Byers A. Hung, Chui M., Brown B., Bughin J., Dobbs R., et al. (2011).  Big data: The next frontier for innovation, competition, and productivity. 156. Examined the potential value that big data can create for organizations and sectors of the economy; sought to illustrate and quantify that value; explored what leaders of organizations and policy makers need to do to capture it; investigated amount of data stored by enterprises and consumers in 2010 Examined types and amounts of data generated, compute resources, and trends that will drive data growth in different sectors and regions throughout the world; examined the impact of IT on labor productivity, techniques and technologies for analyzing big data, and the transformative potential of big data in terms of efficiency, productivity, trust, profit, and other factors in five domains: Healthcare, Public Sector, Retail, Manufacturing, and Telecommunications; also examined the changes necessary (investments, incentives, skills development, policy development and others) to attain these benefits; specific methodologies to gather supporting data are listed in the paper Measurement, Targeted
McLure, M., Level A., Cranston C., Oehlerts B., & Culbertson M. (2014).  Data Curation: A Study of Researcher Practices and Needs. portal: Libraries and the Academy. 14(2), 139 - 164. Investigated (1) the nature of data sets that researchers create or maintain; (2) How participants manage their data; (3) Needs for support that the participants identify in relation to sharing, curating, and preserving their data; and (4) The feasibility of adapting the Purdue University Libraries’ Data Curation Profiles Toolkit1 interview protocol for use in focus groups with researchers Conducted five focus groups with 31 faculty, research scientists, and research associates Measurement, Wider
Mitcham, J., Awre C., Allinson J., Green R., & Wilson S. (2015).  Filling the Digital Preservation Gap. A JISC Research Data Spring Project. Phase One Report. Investigated the use of Archivematica, a system designed to prepare data for long-term storage and access, to help preserve research data Reviewed funder obligations for data management and requirements for digital preservation and analyzed how Archivematica measures against them; conducted online surveys of research staff and students at York University to understand the landscape of research data management at York, and to gain insight into the software packages and top applications used; tested Archivematica with a range of file sizes, types, directory structures, descriptive information, workflows within Archivematica, and different places Archivematica could occupy in a broader research data management workflow. Measurement, Targeted, Wider
Open Exeter Project Team (2012).  Summary Findings of the Open Exeter Data Asset Framework Survey. Investigated how researchers at the University of Exeter created data, where they stored their data, whether they backed up their data and what happened to their data when the project was finished Adapted from the Data Curation Centre’s Data Asset Framework methodology, an online survey was created and follow up interviews were conducted with respondents. Measurement, Wider
Parsons, T., Grimshaw S., & Williamson L. (2013).  Research Data Management Survey. Sought to understand the baseline of RDM practices, gather researcher requirements for RDM, and raise awareness of and gauge interest in a proposed service After testing on a smaller population, conducted an online survey of career researchers and post-doctoral researchers at the University of Nottingham using targeted email Measurement, Wider
Peters, C., & Dryden A. (2011).  Assessing the Academic Library's Role in Campus-Wide Research Data Management: A First Step at the University of Houston. Science & Technology Libraries. 30(4), 387 - 403. Interviewed PIs of significant grants, to assess individuals in as many science and engineering departments as possible, and to obtain information on data management practices from both individual and group-based projects Conducted interviews with PIs of 10 projects (14 contacted), as well as one Co-PI, one post-doctorate and one graduate student associated with one of the projects) Measurement, Wider
Plietzsch, B. (2013).  How much (more) research data do we have, and where do we store it?. Investigated storage requirements for research data within their respective school Conducted a survey of Campus Officers in different schools and research centers at the University of St. Andrews Measurement, Targeted
Science and Technology Council (2007).  The Digital Dilemma: Strategic Issues in Archiving and Accessing Digital Motion Picture Materials. Academy of Motion Picture Arts and Sciences. Investigated size of picture and sound elements created during production and post production for two motion pictures in 2006 or 2007 Conducted case studies where motion picture studios provided information about the amounts of data for a pre-determined list of materials Measurement, Metrics, Targeted
Berman, F., Lavoie B., Ayris P., G. Choudhury S., Cohen E., Courant P. N., et al. (2008).  Sustaining the Digital Investment: Issues and Challenges of Economically Sustainable Digital Preservation. 72. "To sample and understand best and current practices for digital preservation and access, and to begin to synthesize major themes and identify systemic challenges." Focused on two questions: How much does it cost? and Who should pay? Conducted a literature review and invited 16 speakers "representing a variety of domains and areas of expertise" to address five questions: 1) What is the nature of the materials being preserved; 2) Who are the stakeholders for these materials?; 3) What is the "value proposition" for this preservation effort?; 4) What are the key features of long-term preservation for these materials?; 5) What are the "economic aspects" of digital preservation? Measurement, Targeted
Turner, V., Reinsel D., Gantz J. F., & Minton S. (2014).  The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things. Investigated size and rate of expansion of the digital universe worldwide in 2013; investigated business opportunities to use data in new ways and extract value from the digital universe Analyzed 60 streams of data comprising the digital universe (11 streams were added to the 49 in the 2007 study); analyzed ways in particular that the Internet of Things is creating business opportunities; developed 5 criteria to identify “target rich” or valuable data in the digital universe; identified information technology prerequisites to being able to take advantage of the value of data; identified business steps enterprises must take to leverage data value Measurement, Metrics, Targeted
UNC-CH (2012).  Research Data Stewardship at UNC: Recommendations for Scholarly Practice and Leadership. Sought to identify policy options for digital research data stewardship at UNC; further understanding of the full-breadth of activities, concerns, and opinions surrounding research data stewardship among researchers at UNC-CH Conducted semi-structured interviews with 23 faculty researchers representing several disciplines at UNC-CH; conducted an online survey of all faculty members, graduate students, and staff assigned to departments that engage in research Measurement, Wider
Waller, M., & Sharpe R. (2006).  Mind the Gap: Assessing Digital Preservation Needs in the UK. A study carried out for the Digital Preservation Coalition (DPC) to reveal the extent of the risk of loss or degradation to digital material held in the UK's public and private sectors Surveyed 900 individuals from a wide range of organisations in different sectors. The selected individuals all had an assumed interest in digital preservation as part of their professional responsibilities, and included a range of roles including records managers, archivists, librarians, but also IT managers and data producers. 104 responses were received, giving a good response rate of over 10%. These included respondents from education, libraries, archives, museums, local and central government bodies, scientific research institutions, and from organisations in the pharmaceutical, financial, manufacturing and engineering, media, energy and chemical, and publishing sectors. Note: Discusses duration for keeping data. Measurement, Wider
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