Brittany Fiore-Gartland

Information Systems and Management · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Information Systems and Management — 18 citations into it
• Sociology and Political Science — 12 citations into it
• Information Systems — 8 citations into it; #8,621 of 8,771 by trust here, #6,195 by citations
• Human-Computer Interaction — 6 citations into it
• Management Science and Operations Research — 6 citations into it; #11,819 of 11,946 by trust here, #8,062 by citations
• Artificial Intelligence — 5 citations into it
• Management Information Systems — 5 citations into it; #3,326 of 3,376 by trust here, #2,332 by citations

Whom Brittany Fiore-Gartland trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kathy Charmaz
2. Gina Neff
3. David Stark
4. Janet Vertesi
5. Paul Dourish
6. Paul M. Leonardi
7. Dawn Nafus
8. Sean Kandel
9. D. Stuart
10. Rob Kitchin

Who trusts Brittany Fiore-Gartland overall

1. Gina Neff
2. Anissa Tanweer
3. Tamar Sharon
4. Péter Nagy
5. Dorien Zandbergen

Papers from Brittany Fiore-Gartland's perspective

Ordered by how strongly the researchers Brittany Fiore-Gartland trusts endorse each paper. Same corpus, a different order for every researcher.

1. Raw Data is an Oxymoron
2. The conundrum of sharing research data
3. FROM SENSEMAKING IN ORGANIZATIONS
4. Communication, Mediation, and the Expectations of Data: Data Valences Across Health and Wellness Communities
5. The data revolution : big data, open data, data infrastructures & their consequences
6. Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites
7. Big Data from the bottom up
8. What we talk about when we talk about context
9. Counting Things and People: The Practices and Politics of Counting
10. The nice thing about context is that everyone has it

Their papers

• Critique and Contribute: A Practice-Based Framework for Improving Critical Data Studies and Data Science (2017) — 148 citations
• Developing a Research Agenda for Human-Centered Data Science (2016) — 53 citations
• Impediment to insight to innovation: understanding data assemblages through the breakdown–repair process (2016) — 42 citations
• Communication, Mediation, and the Expectations of Data: Data Valences Across Health and Wellness Communities (2015) — 102 citations