Center for Knowledge Infrastructures
Parent: Department of Information Studies
eScholarship stats: History by Item for May through August, 2026
| Item | Title | Total requests | 2026-08 | 2026-07 | 2026-06 | 2026-05 |
|---|---|---|---|---|---|---|
| 2mt6j2mh | Knowledge Infrastructures: Intellectual Frameworks and Research Challenges | 780 | 266 | 191 | 162 | 161 |
| 6vt1h4wt | Big Data, Little Data, noData: Scholarship in the Networked World | 695 | 204 | 225 | 119 | 147 |
| 32t8b4bt | Fostering Learning in the Networked World: The Cyberlearning Opportunity and Challenge. A 21st Century Agenda for the National Science Foundation | 684 | 280 | 314 | 31 | 59 |
| 7c55m1xf | What are digital libraries? Competing visions | 563 | 218 | 142 | 105 | 98 |
| 0fp9n05s | The Digital Future is Now: A Call to Action for the Humanities | 551 | 160 | 167 | 106 | 118 |
| 4jb6c1pz | From acting locally to thinking globally: A brief history of library automation | 472 | 166 | 124 | 98 | 84 |
| 78n419nf | Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators | 413 | 168 | 60 | 93 | 92 |
| 3mz7h8hr | Why Are Online Catalogs Still Hard to Use? | 332 | 112 | 71 | 44 | 105 |
| 7tw0x377 | Social Aspects of Digital Libraries. Final Report to the National Science Foundation | 290 | 75 | 41 | 72 | 102 |
| 4xf018wx | On the Reuse of Scientific Data | 266 | 45 | 55 | 97 | 69 |
| 9rm6b7d4 | Our knowledge of knowledge infrastructures: Lessons learned and future directions | 263 | 56 | 37 | 70 | 100 |
| 0fd2q82z | Digital Scholarship and Digital Libraries: Past, Present, and Future | 250 | 43 | 31 | 68 | 108 |
| 53x6s93s | The Ups and Downs of Knowledge Infrastructures in Science: Implications for Data Management (slides) | 241 | 46 | 45 | 63 | 87 |
| 5sb7p80v | Motivations for Sharing and Reusing Data: Complexities and Contradictions in the Use of a Digital Data Archive� | 233 | 60 | 35 | 60 | 78 |
| 0qd763m5 | Children's Searching Behavior On Browsing and Keyword Online Catalogs: The Science Library Catalog Project | 230 | 74 | 57 | 34 | 65 |
| 1s1814cj | PhD Thesis - From Open Data to Knowledge Production:Biomedical Data Sharing and Unpredictable Data Reuses | 222 | 51 | 25 | 39 | 107 |
| 5q77v0pd | Research Data: Who will share what, with whom, when, and why? | 221 | 79 | 44 | 35 | 63 |
| 3cn4z0v8 | Structure and Evolution of Scientific Collaboration Networks in a Modern Research Collaboratory | 214 | 40 | 35 | 63 | 76 |
| 2911049g | Big Data, Little Data, or No Data? A Social Science Perspective on Data Science [Presentation slides] | 203 | 61 | 34 | 51 | 57 |
| 38v6n99v | Scholarship in the Networked World: Big Data, Little Data, noData | 203 | 73 | 28 | 33 | 69 |
| 2cc978tf | The Digital Archive: The Data Deluge arrives in the Humanities | 201 | 45 | 27 | 67 | 62 |
| 01r7h46q | The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy | 197 | 36 | 28 | 48 | 85 |
| 529611vj | The Challenges of Reproducibility in Data-Scarce Fields | 194 | 44 | 27 | 50 | 73 |
| 5bb8b1tn | Collaborative Ethnography at Scale: Reflections on 20 years of data integration | 191 | 64 | 17 | 41 | 69 |
| 5pt0n14g | Big Data, Little Data, or No Data? Scholarship, Stewardship, and Humanities Research | 191 | 53 | 30 | 47 | 61 |
| 5wc9v7cf | Knowledge Infrastructures: The Invisible Foundation of Research Data (Slides and Video) | 187 | 36 | 31 | 52 | 68 |
| 2664h11z | Big Data, Little Data, or noData? Sustaining Access to Scholarship | 184 | 52 | 28 | 40 | 64 |
| 5w52878j | Using the Jupyter Notebook as a tool for open science: An empirical study | 174 | 32 | 40 | 45 | 57 |
| 9dh6b8j0 | Open data, grey data, and stewardship: Universities at the privacy frontier | 173 | 38 | 27 | 39 | 69 |
| 20w9g1k2 | If Data Sharing is the Answer, What is the Question? | 171 | 27 | 22 | 53 | 69 |
| 3sj3w1jh | Scholarship in the Digital Age: Blurring the Boundaries between the Sciences and the Humanities (Keynote) | 171 | 35 | 33 | 60 | 43 |
| 9vc4v2ps | Big Data, Little Data, or noData? Knowledge Infrastructures for the Earth Sciences | 171 | 45 | 23 | 42 | 61 |
| 15q7d9p3 | The Digital Future is Now: What the Humanities can Learn from eScience | 169 | 62 | 21 | 31 | 55 |
| 3276b07g | From Data Creator to Data Reuser: Distance Matters | 167 | 36 | 12 | 46 | 73 |
| 7m59x6mh | Data, infrastructure, and stewardship | 167 | 30 | 22 | 50 | 65 |
| 1sx7v77r | PhD Dissertation - From Open Data to Knowledge Production: Biomedical Data Sharing and Unpredictable Data Reuses | 166 | 42 | 18 | 32 | 74 |
| 2kw90334 | Library Cultures of Data Curation: Adventures in Astronomy | 166 | 34 | 16 | 47 | 69 |
| 8mw5x9v2 | Big Data, Little Data, noData: The Contested Landscape of Data Sharing and Reuse | 166 | 44 | 25 | 46 | 51 |
| 48c7b5p2 | Private Platforms, Metadata, and the Enclosure of Data Access: Urgent Issues for Knowledge Infrastructure Research | 157 | 35 | 22 | 37 | 63 |
| 2570w9wk | Thought Piece for 2020 Knowledge Infrastructure Workshop | 154 | 29 | 15 | 36 | 74 |
| 0jj17309 | Why Data Sharing and Reuse Are Hard To Do | 153 | 40 | 19 | 20 | 74 |
| 1mr727cw | The invisible knowledge infrastructure of astronomy: A sharper focus on blurry data | 152 | 32 | 26 | 38 | 56 |
| 09h7p2qg | Text data mining from the author's perspective: Whose text, whose mining, and to whose benefit? | 151 | 19 | 21 | 46 | 65 |
| 2qw867t8 | New models of privacy for the university | 151 | 28 | 14 | 36 | 73 |
| 3k66b80k | Open Data in Astronomy Sky Surveys | 147 | 29 | 18 | 37 | 63 |
| 066551hx | Privacy & Information Technology Syllabus, Fall 2017, UCLA | 146 | 37 | 22 | 17 | 70 |
| 0m09c4vr | Syllabus for PhD Seminar on Research Methods and Design, Winter 2014, UCLA Information Studies | 144 | 32 | 19 | 29 | 64 |
| 3081t2jm | Collaborative Qualitative Research at Scale:Reflections on 20 years of Acquiring Global Data and Making Data Global | 143 | 39 | 7 | 40 | 57 |
| 0fc3g08v | Knowledge infrastructure workshop thought piece | 142 | 31 | 24 | 26 | 61 |
| 05c2n2m5 | Data Governance Task Force: Final report and recommendations | 139 | 20 | 19 | 29 | 71 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.