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Published byKathleen Caldwell Modified over 9 years ago
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1 Data services and computing
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2 We tend to be dealt the computing environment in which we must operate. Few of us have enough influence to steer the direction of central computing on our campus. Thus, we try to match our computing needs with the resources provided locally. Computing reality
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3 Develop a computing strategy that identifies the hardware, the software, and the network connectivity needed to support the level of data service you are providing now and will be in the near future. Match to level of service
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4 Desktop computing power hardware fastest affordable processor largest affordable hard drive largest affordable monitor removable media drives support Strategic factors
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5 Desktop computing power the software it should support metadata tools statistical software network tools compression utilities Strategic factors
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6 Large quantities of disk space on a fast system uncompressing files unpacking files package and compress files Strategic factors
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7 Access to at least one fast processing machine with statistical software powerful Unix workstation handle larger-scale problems Strategic factors
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8 Mass storage that supports multiple-user access to files and preferably multiple- system access distributed file system institutional repository Strategic factors
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9 Support software for data services statistical packages metadata support communication tools web tools blogs/wikis training tools Strategic factors
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10 Network connectivity permitting high-speed file transfers off and on campus transfer may require using services elsewhere on campus Strategic factors
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11 System administration takes a lot of time! think twice about becoming your own system administrator Implementation strategy
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12 Purchase compatible computing equipment to receive maintenance support simplifies the sharing of peripheral devices Implementation strategy
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13 Investigate local computing support possibly a centralized high performance computing service or compute grid site licenses for software Implementation strategy
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14 Align with local institutional repository services and digital preservation initiatives introduce data to the planning of your institutional repository Implementation strategy
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15 Data infrastructure models Data centres The data centre is part of the instrumentation infrastructure. e.g., the Large Hadron Collider Data repositories The repository is part of a specific institution’s larger stewardship mandate for digital resources. e.g., Odesi in Scholar’s Portal Domain archives Domain archives are institutions established explicitly to preserve and provide access to a domain’s data. e.g., the ICPSR and the UKDA
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16 Emerging data infrastructure Duration of access Institutional based Domain based Long-term trusted repository Mid-term digital repositories Immediateinternet
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17 Examples Duration of access Institutional based Domain based Long-term NARA Scholars Portal ICPSR Genbank Mid-term DataStaR National Center for Ecological Analysis and Synthesis Immediate Local govt data Cross-national Time-series Data Archive
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18 GÉANT network infrastructure computing/data grid infrastructure scientific data infrastructure biology data astronomy data clinical data LHC data Source: Mário Campolargo Open Grid Forum Barcelona, 3 June 2008 source: eSciDR study (adapted) ICPSR data
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19 e-Infrastructure of repositories e-Infrastructure for repositories Management Transparent Responsive Informed Grids, Virtual Organisations, etc Repositories Trusted Open Well managed Repository management, curation, physical security, etc Repositories services Ease of use Availability Reliability Deposit, annotation, delivery, visualisation, search, help, etc Information Authenticity Quality Longevity Collections: data, work-flows, publications, learning materials, etc. Available Scaleable Reliable Networks, computing, HPC, physical storage, etc Physical infrastructure Access Standardised Stable Flexible Authentication, authorisation, logical security, federation, portals, etc Source: Mário Campolargo Open Grid Forum Barcelona, 3 June 2008 source: eSciDR study (adapted) e-Infrastructure for repositories
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