Matthew S Mayernik
Biographic Data
| ID | 2744879 |
|---|---|
| NAME | Matthew S Mayernik |
| GIVEN NAMES | Matthew S |
| FAMILY NAME | Mayernik |
| SIGNATURE | MAYERNIK M S |
| AFFILIATIONS | NSF National Center for Atmospheric Research |
| ORCID | 0000-0002-4122-0910 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 113 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 3 |
Credibility via Coupling: Institutions and Infrastructures in Climate Model Intercomparisons
This study investigates Model Intercomparison Projects (MIPs) as one example of a coordinated approach to establishing scientific credibility. MIPs originated within climate science as a method to evaluate and compare disparate climate models, but MIPs or MIP-like projects are now spreading to many scientific fields. Within climate science, MIPs have advanced knowledge of: a) the climate phenomena being modeled, and b) the building of climate mod…
Open science, data sharing and solidarity: Who benefits
Research, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one of the key premises behind the "open science" movement and the global calls for fostering the sharing of personal data, datasets, and research results. This paper reports on the outcomes of discussions by the panel "Open science, data sharing and solidarity: who benefits?" held at the 2021 Biennial conference of t…
Metadata accounts: Achieving data and evidence in scientific research
Metadata' has received a fraction of the attention that 'data' has received in sociological studies of scientific research. A neglect of 'metadata' reduces the attention on a number of critical aspects of scientific work processes, including documentary work, accountability relations, and collaboration routines. Metadata processes and products are essential components of the work needed to practically accomplish day-to-day scientific research tas…
Open data: Accountability and transparency
The movements by national governments, funding agencies, universities, and research communities toward “open data” face many difficult challenges. In high-level visions of open data, researchers’ data and metadata practices are expected to be robust and structured. The integration of the internet into scientific institutions amplifies these expectations. When examined critically, however, the data and metadata practices of scholarly researchers o…
Data Archiving and Citation within AMS Journals
Unearthing the Infrastructure: Humans and Sensors in Field-Based Scientific Research
Distributed sensing systems for studying scientific phenomena are critical applications of information technologies. By embedding computational intelligence in the environment of study, sensing systems allow researchers to study phenomena at spatial and temporal scales that were previously impossible to achieve. We present an ethnographic study of field research practices among researchers in the Center for Embedded Networked Sensing (CENS), a Na…
Who’s Got the Data? Interdependencies in Science and Technology Collaborations
Science friction: Data, metadata, and collaboration
When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata--usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets--serve key roles in interoperability. Yet we find that me…
Science friction: Data, metadata, and collaboration
When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata--usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets--serve key roles in interoperability. Yet we find that me…
Metadata accounts: Achieving data and evidence in scientific research
Metadata' has received a fraction of the attention that 'data' has received in sociological studies of scientific research. A neglect of 'metadata' reduces the attention on a number of critical aspects of scientific work processes, including documentary work, accountability relations, and collaboration routines. Metadata processes and products are essential components of the work needed to practically accomplish day-to-day scientific research tas…
Open science, data sharing and solidarity: Who benefits
Research, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one of the key premises behind the "open science" movement and the global calls for fostering the sharing of personal data, datasets, and research results. This paper reports on the outcomes of discussions by the panel "Open science, data sharing and solidarity: who benefits?" held at the 2021 Biennial conference of t…
Open data: Accountability and transparency
The movements by national governments, funding agencies, universities, and research communities toward “open data” face many difficult challenges. In high-level visions of open data, researchers’ data and metadata practices are expected to be robust and structured. The integration of the internet into scientific institutions amplifies these expectations. When examined critically, however, the data and metadata practices of scholarly researchers o…
Science friction: Data, metadata, and collaboration
When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata--usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets--serve key roles in interoperability. Yet we find that me…
Who’s Got the Data? Interdependencies in Science and Technology Collaborations
Unearthing the Infrastructure: Humans and Sensors in Field-Based Scientific Research
Distributed sensing systems for studying scientific phenomena are critical applications of information technologies. By embedding computational intelligence in the environment of study, sensing systems allow researchers to study phenomena at spatial and temporal scales that were previously impossible to achieve. We present an ethnographic study of field research practices among researchers in the Center for Embedded Networked Sensing (CENS), a Na…
Data Archiving and Citation within AMS Journals
Open data: Accountability and transparency
The movements by national governments, funding agencies, universities, and research communities toward “open data” face many difficult challenges. In high-level visions of open data, researchers’ data and metadata practices are expected to be robust and structured. The integration of the internet into scientific institutions amplifies these expectations. When examined critically, however, the data and metadata practices of scholarly researchers o…
Metadata accounts: Achieving data and evidence in scientific research
Metadata' has received a fraction of the attention that 'data' has received in sociological studies of scientific research. A neglect of 'metadata' reduces the attention on a number of critical aspects of scientific work processes, including documentary work, accountability relations, and collaboration routines. Metadata processes and products are essential components of the work needed to practically accomplish day-to-day scientific research tas…
Credibility via Coupling: Institutions and Infrastructures in Climate Model Intercomparisons
This study investigates Model Intercomparison Projects (MIPs) as one example of a coordinated approach to establishing scientific credibility. MIPs originated within climate science as a method to evaluate and compare disparate climate models, but MIPs or MIP-like projects are now spreading to many scientific fields. Within climate science, MIPs have advanced knowledge of: a) the climate phenomena being modeled, and b) the building of climate mod…
Open science, data sharing and solidarity: Who benefits
Research, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one of the key premises behind the "open science" movement and the global calls for fostering the sharing of personal data, datasets, and research results. This paper reports on the outcomes of discussions by the panel "Open science, data sharing and solidarity: who benefits?" held at the 2021 Biennial conference of t…
Computer Science (7 works) · Data science (7 works) · Research Data Management Practices (7 works) · Scientific Computing and Data Management (5 works) · World Wide Web (5 works) · Engineering (4 works) · Metadata (4 works) · Open Science (4 works) · Political science (4 works) · Sociology (4 works)