Center for Knowledge Infrastructures
Parent: Department of Information Studies
eScholarship stats: History by Item for March through June, 2026
| Item | Title | Total requests | 2026-06 | 2026-05 | 2026-04 | 2026-03 |
|---|---|---|---|---|---|---|
| 2mt6j2mh | Knowledge Infrastructures: Intellectual Frameworks and Research Challenges | 645 | 162 | 161 | 173 | 149 |
| 6vt1h4wt | Big Data, Little Data, noData: Scholarship in the Networked World | 531 | 119 | 147 | 144 | 121 |
| 7c55m1xf | What are digital libraries? Competing visions | 474 | 105 | 98 | 121 | 150 |
| 0fp9n05s | The Digital Future is Now: A Call to Action for the Humanities | 407 | 106 | 118 | 83 | 100 |
| 78n419nf | Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators | 367 | 93 | 92 | 100 | 82 |
| 4jb6c1pz | From acting locally to thinking globally: A brief history of library automation | 360 | 98 | 84 | 82 | 96 |
| 9rm6b7d4 | Our knowledge of knowledge infrastructures: Lessons learned and future directions | 316 | 70 | 100 | 74 | 72 |
| 3mz7h8hr | Why Are Online Catalogs Still Hard to Use? | 298 | 44 | 105 | 89 | 60 |
| 7tw0x377 | Social Aspects of Digital Libraries. Final Report to the National Science Foundation | 280 | 72 | 102 | 59 | 47 |
| 4xf018wx | On the Reuse of Scientific Data | 265 | 97 | 69 | 54 | 45 |
| 3cn4z0v8 | Structure and Evolution of Scientific Collaboration Networks in a Modern Research Collaboratory | 263 | 63 | 76 | 80 | 44 |
| 1s1814cj | PhD Thesis - From Open Data to Knowledge Production:Biomedical Data Sharing and Unpredictable Data Reuses | 258 | 39 | 107 | 66 | 46 |
| 0fd2q82z | Digital Scholarship and Digital Libraries: Past, Present, and Future | 241 | 68 | 108 | 52 | 13 |
| 5pt0n14g | Big Data, Little Data, or No Data? Scholarship, Stewardship, and Humanities Research | 229 | 47 | 61 | 70 | 51 |
| 9dh6b8j0 | Open data, grey data, and stewardship: Universities at the privacy frontier | 227 | 39 | 69 | 57 | 62 |
| 01r7h46q | The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy | 225 | 48 | 85 | 57 | 35 |
| 2911049g | Big Data, Little Data, or No Data? A Social Science Perspective on Data Science [Presentation slides] | 220 | 51 | 57 | 51 | 61 |
| 2cc978tf | The Digital Archive: The Data Deluge arrives in the Humanities | 216 | 67 | 62 | 56 | 31 |
| 5bb8b1tn | Collaborative Ethnography at Scale: Reflections on 20 years of data integration | 215 | 41 | 69 | 51 | 54 |
| 3276b07g | From Data Creator to Data Reuser: Distance Matters | 212 | 46 | 73 | 45 | 48 |
| 53x6s93s | The Ups and Downs of Knowledge Infrastructures in Science: Implications for Data Management (slides) | 211 | 63 | 87 | 44 | 17 |
| 5wc9v7cf | Knowledge Infrastructures: The Invisible Foundation of Research Data (Slides and Video) | 210 | 52 | 68 | 50 | 40 |
| 529611vj | The Challenges of Reproducibility in Data-Scarce Fields | 201 | 50 | 73 | 54 | 24 |
| 5q77v0pd | Research Data: Who will share what, with whom, when, and why? | 199 | 35 | 63 | 57 | 44 |
| 05c2n2m5 | Data Governance Task Force: Final report and recommendations | 198 | 29 | 71 | 57 | 41 |
| 5sb7p80v | Motivations for Sharing and Reusing Data: Complexities and Contradictions in the Use of a Digital Data Archive� | 198 | 60 | 78 | 44 | 16 |
| 066551hx | Privacy & Information Technology Syllabus, Fall 2017, UCLA | 196 | 17 | 70 | 52 | 57 |
| 2kw90334 | Library Cultures of Data Curation: Adventures in Astronomy | 196 | 47 | 69 | 32 | 48 |
| 48c7b5p2 | Private Platforms, Metadata, and the Enclosure of Data Access: Urgent Issues for Knowledge Infrastructure Research | 194 | 37 | 63 | 46 | 48 |
| 09h7p2qg | Text data mining from the author's perspective: Whose text, whose mining, and to whose benefit? | 193 | 46 | 65 | 42 | 40 |
| 1sx7v77r | PhD Dissertation - From Open Data to Knowledge Production: Biomedical Data Sharing and Unpredictable Data Reuses | 190 | 32 | 74 | 37 | 47 |
| 2qw867t8 | New models of privacy for the university | 186 | 36 | 73 | 42 | 35 |
| 7m59x6mh | Data, infrastructure, and stewardship | 184 | 50 | 65 | 43 | 26 |
| 0jj17309 | Why Data Sharing and Reuse Are Hard To Do | 183 | 20 | 74 | 49 | 40 |
| 0m09c4vr | Syllabus for PhD Seminar on Research Methods and Design, Winter 2014, UCLA Information Studies | 183 | 29 | 64 | 49 | 41 |
| 32t8b4bt | Fostering Learning in the Networked World: The Cyberlearning Opportunity and Challenge. A 21st Century Agenda for the National Science Foundation | 183 | 31 | 59 | 44 | 49 |
| 2570w9wk | Thought Piece for 2020 Knowledge Infrastructure Workshop | 179 | 36 | 74 | 41 | 28 |
| 3081t2jm | Collaborative Qualitative Research at Scale:Reflections on 20 years of Acquiring Global Data and Making Data Global | 179 | 40 | 57 | 43 | 39 |
| 0qd763m5 | Children's Searching Behavior On Browsing and Keyword Online Catalogs: The Science Library Catalog Project | 177 | 34 | 65 | 41 | 37 |
| 20w9g1k2 | If Data Sharing is the Answer, What is the Question? | 173 | 53 | 69 | 37 | 14 |
| 1gq1265k | Keynote: Big Data, Little Data, or No Data? Why Human Interaction with Data is a Hard Problem (slides) | 169 | 24 | 62 | 41 | 42 |
| 1mg482ft | Toward a definition of user friendliness: A psychological perspective | 169 | 18 | 62 | 53 | 36 |
| 94v0q1r1 | Scholarly Communication and Bibliometrics | 169 | 25 | 46 | 35 | 63 |
| 5w52878j | Using the Jupyter Notebook as a tool for open science: An empirical study | 166 | 45 | 57 | 30 | 34 |
| 28h0c97x | Who’s got the data? Interdependencies in Science and Technology Collaborations | 162 | 19 | 53 | 54 | 36 |
| 8s56c1zs | Data Management in the Long Tail: Science, Software and Service | 161 | 30 | 49 | 47 | 35 |
| 15q7d9p3 | The Digital Future is Now: What the Humanities can Learn from eScience | 160 | 31 | 55 | 50 | 24 |
| 9vc4v2ps | Big Data, Little Data, or noData? Knowledge Infrastructures for the Earth Sciences | 160 | 42 | 61 | 42 | 15 |
| 2664h11z | Big Data, Little Data, or noData? Sustaining Access to Scholarship | 159 | 40 | 64 | 38 | 17 |
| 0fc3g08v | Knowledge infrastructure workshop thought piece | 157 | 26 | 61 | 41 | 29 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.