Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Ruth Duerr"'
Autor:
Margaret O’Brien, Ruth Duerr, Riley Taitingfong, Andrew Martinez, Lourdes Vera, Lydia L. Jennings, Robert R. Downs, Erin Antognoli, Talya ten Brink, Nicole B. Halmai, Dominique David-Chavez, Stephanie Russo Carroll, Maui Hudson, Pier Luigi Buttigieg
Publikováno v:
Data Science Journal, Vol 23, Pp 37-37 (2024)
Datasets carry cultural and political context at all parts of the data life cycle. Historically, Earth science data repositories have taken their guidance and policies as a combination of mandates from their funding agencies and the needs of their us
Externí odkaz:
https://doaj.org/article/6ca7b6518c0a4fef822a5a3c698dfdf7
Autor:
Ruth Duerr, Pier Luigi Buttigieg, Gary Berg Cross, Kai Lewis Blumberg, Brandon Whitehead, Nancy Wiegand, Kate Rose
Publikováno v:
Data Science Journal, Vol 23, Pp 26-26 (2024)
This paper presents the specific process used by members of the Earth Science Information Partners (ESIP) Semantic Harmonization Cluster, to harmonize cryospheric terms gathered by the Global Cryosphere Watch (GCW) with two leading semantic resources
Externí odkaz:
https://doaj.org/article/898b462bb0e04d9ab22a91c978078200
Autor:
Annemie Rose Janssen, Philippa Bricher, Karen Payne, Renuka Badhe, Nicole Biebow, Taco de Bruin, Ruth Duerr, Pjotr Elshout, Allison Gaylord, Øystein Godøy, Patrick Gorringe, Damien Guihen, Johnathan Kool, Jan Rene Larsen, Joseph Nolan, Antonio Novellino, William Manley, Andreas Marouchos, Molly McCammon, Maribeth Murray, Jenn Parrott, Jay Pearlman, Helen Peat, Peter Pulsifer, Lloyd Symons, Marten Tacoma, Soulaine Theocharides, Stein Tronstad, Chantelle Verhey, Anton Van de Putte
Publikováno v:
Data Science Journal, Vol 22, Pp 18-18 (2023)
This paper reports on the Hackathon Sessions organised at the Polar Data Forum IV (PDF IV) (20–24 September 2021), during which 351 participants from 50 different countries discussed collaboratively about the latest developments in polar data manag
Externí odkaz:
https://doaj.org/article/c9956e3c44664b40996b405bb528cfef
Autor:
Matthew S. Mayernik, Kelsey Breseman, Robert R. Downs, Ruth Duerr, Alexis Garretson, Chung-Yi (Sophie) Hou, Environmental Data Governance Initiative (EDGI) and Earth Science Information Partners (ESIP) Data Stewardship Committee
Publikováno v:
Data Science Journal, Vol 19, Iss 1 (2020)
Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data
Externí odkaz:
https://doaj.org/article/032efde60308485ebdd40ca8f7f5ead1
Autor:
Cynthia Parr, Corinna Gries, Margaret O'Brien, Robert R. Downs, Ruth Duerr, Rebecca Koskela, Philip Tarrant, Keith E. Maull, Nancy Hoebelheinrich, Shelley Stall
Publikováno v:
Data Science Journal, Vol 18, Iss 1 (2019)
Despite growing recognition of the importance of public data to the modern economy and to scientific progress, long-term investment in the repositories that manage and disseminate scientific data in easily accessible-ways remains elusive. Repositorie
Externí odkaz:
https://doaj.org/article/1bb1fdc198ab43c2b50f86031ff66587
Autor:
Ruth Duerr, Pier Buttigieg, Gary Berg-Cross, Kai Blumberg, brandon whitehead, Nancy Wiegand, Kate Rose
This paper presents the specific process we, as part of the Earth Science Information Partners (ESIP) Semantic Harmonization Cluster, used to harmonize terms from the Global Cryosphere Watch (GCW) compilation of cryospheric terms with the Semantic We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb45352ee30a9e36665a20aeed5aace7
https://doi.org/10.31223/x5c966
https://doi.org/10.31223/x5c966
Autor:
Matthew S Mayernik, Tim DiLauro, Ruth Duerr, Elliot Metsger, Anne E Thessen, G Sayeed Choudhury
Publikováno v:
Data Science Journal, Vol 12, Pp 158-171 (2013)
Among the key services that institutional data management infrastructures must provide are provenance and lineage tracking and the ability to associate data with contextual information needed for understanding and use. These functionalities are criti
Externí odkaz:
https://doaj.org/article/86204590a0f14727af92fefca2ed0cc7
Autor:
Joan Starr, Eleni Castro, Mercè Crosas, Michel Dumontier, Robert R. Downs, Ruth Duerr, Laurel L. Haak, Melissa Haendel, Ivan Herman, Simon Hodson, Joe Hourclé, John Ernest Kratz, Jennifer Lin, Lars Holm Nielsen, Amy Nurnberger, Stefan Proell, Andreas Rauber, Simone Sacchi, Arthur Smith, Mike Taylor, Tim Clark
Publikováno v:
PeerJ Computer Science, Vol 1, p e1 (2015)
Reproducibility and reusability of research results is an important concern in scientific communication and science policy. A foundational element of reproducibility and reusability is the open and persistently available presentation of research data
Externí odkaz:
https://doaj.org/article/cccb9a6fed394c4cbbc45a9cac4ea7b3