Center for Knowledge Infrastructures
Parent: Department of Information Studies
eScholarship stats: Breakdown by Item for July through October, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2mt6j2mh | Knowledge Infrastructures: Intellectual Frameworks and Research Challenges | 809 | 399 | 410 | 49.3% |
| 32t8b4bt | Fostering Learning in the Networked World: The Cyberlearning Opportunity and Challenge. A 21st Century Agenda for the National Science Foundation | 702 | 561 | 141 | 79.9% |
| 7c55m1xf | What are digital libraries? Competing visions | 687 | 238 | 449 | 34.6% |
| 6vt1h4wt | Big Data, Little Data, noData: Scholarship in the Networked World | 650 | 408 | 242 | 62.8% |
| 0fp9n05s | The Digital Future is Now: A Call to Action for the Humanities | 510 | 202 | 308 | 39.6% |
| 4jb6c1pz | From acting locally to thinking globally: A brief history of library automation | 501 | 251 | 250 | 50.1% |
| 5bb8b1tn | Collaborative Ethnography at Scale: Reflections on 20 years of data integration | 387 | 265 | 122 | 68.5% |
| 3mz7h8hr | Why Are Online Catalogs Still Hard to Use? | 330 | 224 | 106 | 67.9% |
| 78n419nf | Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators | 282 | 42 | 240 | 14.9% |
| 9rm6b7d4 | Our knowledge of knowledge infrastructures: Lessons learned and future directions | 277 | 114 | 163 | 41.2% |
| 5sb7p80v | Motivations for Sharing and Reusing Data: Complexities and Contradictions in the Use of a Digital Data Archive� | 226 | 126 | 100 | 55.8% |
| 5q77v0pd | Research Data: Who will share what, with whom, when, and why? | 221 | 31 | 190 | 14.0% |
| 7tw0x377 | Social Aspects of Digital Libraries. Final Report to the National Science Foundation | 218 | 103 | 115 | 47.2% |
| 38v6n99v | Scholarship in the Networked World: Big Data, Little Data, noData | 215 | 92 | 123 | 42.8% |
| 0qd763m5 | Children's Searching Behavior On Browsing and Keyword Online Catalogs: The Science Library Catalog Project | 213 | 104 | 109 | 48.8% |
| 53x6s93s | The Ups and Downs of Knowledge Infrastructures in Science: Implications for Data Management (slides) | 196 | 133 | 63 | 67.9% |
| 5pt0n14g | Big Data, Little Data, or No Data? Scholarship, Stewardship, and Humanities Research | 195 | 73 | 122 | 37.4% |
| 3cn4z0v8 | Structure and Evolution of Scientific Collaboration Networks in a Modern Research Collaboratory | 179 | 132 | 47 | 73.7% |
| 2cc978tf | The Digital Archive: The Data Deluge arrives in the Humanities | 178 | 123 | 55 | 69.1% |
| 2911049g | Big Data, Little Data, or No Data? A Social Science Perspective on Data Science [Presentation slides] | 176 | 51 | 125 | 29.0% |
| 529611vj | The Challenges of Reproducibility in Data-Scarce Fields | 173 | 116 | 57 | 67.1% |
| 15q7d9p3 | The Digital Future is Now: What the Humanities can Learn from eScience | 171 | 71 | 100 | 41.5% |
| 0fd2q82z | Digital Scholarship and Digital Libraries: Past, Present, and Future | 167 | 113 | 54 | 67.7% |
| 1s1814cj | PhD Thesis - From Open Data to Knowledge Production:Biomedical Data Sharing and Unpredictable Data Reuses | 167 | 68 | 99 | 40.7% |
| 0jj17309 | Why Data Sharing and Reuse Are Hard To Do | 166 | 32 | 134 | 19.3% |
| 3k66b80k | Open Data in Astronomy Sky Surveys | 165 | 67 | 98 | 40.6% |
| 3sj3w1jh | Scholarship in the Digital Age: Blurring the Boundaries between the Sciences and the Humanities (Keynote) | 159 | 65 | 94 | 40.9% |
| 4xf018wx | On the Reuse of Scientific Data | 158 | 72 | 86 | 45.6% |
| 1sx7v77r | PhD Dissertation - From Open Data to Knowledge Production: Biomedical Data Sharing and Unpredictable Data Reuses | 156 | 52 | 104 | 33.3% |
| 2664h11z | Big Data, Little Data, or noData? Sustaining Access to Scholarship | 155 | 95 | 60 | 61.3% |
| 8mw5x9v2 | Big Data, Little Data, noData: The Contested Landscape of Data Sharing and Reuse | 153 | 72 | 81 | 47.1% |
| 2kw90334 | Library Cultures of Data Curation: Adventures in Astronomy | 151 | 30 | 121 | 19.9% |
| 5wc9v7cf | Knowledge Infrastructures: The Invisible Foundation of Research Data (Slides and Video) | 151 | 98 | 53 | 64.9% |
| 9vc4v2ps | Big Data, Little Data, or noData? Knowledge Infrastructures for the Earth Sciences | 151 | 94 | 57 | 62.3% |
| 48c7b5p2 | Private Platforms, Metadata, and the Enclosure of Data Access: Urgent Issues for Knowledge Infrastructure Research | 149 | 51 | 98 | 34.2% |
| 3081t2jm | Collaborative Qualitative Research at Scale:Reflections on 20 years of Acquiring Global Data and Making Data Global | 148 | 37 | 111 | 25.0% |
| 6rx42812 | How and why do scientists reuse others’ data to produce new knowledge? | 148 | 72 | 76 | 48.6% |
| 2pb6k940 | Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier | 145 | 86 | 59 | 59.3% |
| 74c3r1j6 | Research Data, Libraries, and Croatia | 145 | 89 | 56 | 61.4% |
| 1mr727cw | The invisible knowledge infrastructure of astronomy: A sharper focus on blurry data | 143 | 85 | 58 | 59.4% |
| 5v73333z | Knowledge infrastructures in past, present, and future tense | 143 | 41 | 102 | 28.7% |
| 0fc3g08v | Knowledge infrastructure workshop thought piece | 132 | 26 | 106 | 19.7% |
| 2570w9wk | Thought Piece for 2020 Knowledge Infrastructure Workshop | 131 | 51 | 80 | 38.9% |
| 7m59x6mh | Data, infrastructure, and stewardship | 131 | 82 | 49 | 62.6% |
| 9dh6b8j0 | Open data, grey data, and stewardship: Universities at the privacy frontier | 131 | 29 | 102 | 22.1% |
| 01r7h46q | The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy | 130 | 80 | 50 | 61.5% |
| 3276b07g | From Data Creator to Data Reuser: Distance Matters | 129 | 56 | 73 | 43.4% |
| 0m09c4vr | Syllabus for PhD Seminar on Research Methods and Design, Winter 2014, UCLA Information Studies | 128 | 30 | 98 | 23.4% |
| 8vs1z6s3 | Research Data Alliance in the Science Data-Sharing Landscape | 128 | 72 | 56 | 56.3% |
| 1gq1265k | Keynote: Big Data, Little Data, or No Data? Why Human Interaction with Data is a Hard Problem (slides) | 127 | 49 | 78 | 38.6% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.