Browsing Bergen Open Research Archive by Author "Gil, Yolanda"

Now showing items 1-2 of 2

    • PaCTS 1.0: a crowdsourced reporting standard for paleoclimate data 

      Khider, Deborah; Emile-Geay, Julien; McKay, Nicholas P.; Gil, Yolanda; Garijo, Daniel; Ratnakar, Varun; Alonso-Garcia, Montserrat; Bertrand, Sebastien; Bothe, Oliver; Brewer, Peter; Bunn, Andrew G.; Chevalier, Manuel; Comas-Bru, Laia; Csank, Adam; Dassié, Emilie; DeLong, Kristine L.; Felis, Thomas; Francus, Pierre; Frappier, Amy; Gray, William R.; Goring, Simon; Jonkers, Lukas; Kahle, Michael; Kaufman, Darrell S.; Kehrwald, Natalie M.; Martrat, Belen; McGregor, Helen V; Richey, Julie; Schmittner, Andreas; Scroxton, Nick; Sutherland, Elaine K.; Thirumalai, Kaustubh; Allen, Kathryn J.; Arnaud, Fabien; Axford, Yarrow; Barrows, Timothy T.; Bazin, Lucie; Pilaar Birch, Suzanne E.; Bradley, Elizabeth; Bregy, Joshua; Capron, Emilie; Cartapanis, Olivier; Chiang, Hong-Wei; Cobb, Kim M.; Debret, Maxime; Dommain, René; Du, Jianghui; Dyez, Kelsey A.; Emerick, Suellyn; Erb, Michael P.; Falster, Georgina; Finsinger, Walter; Fortier, Daniel; Gauthier, Nicholas; George, Steve; Grimm, Eric C.; Hertzberg, Jennifer; Hibbert, Fiona D.; Hillman, Aubrey; Hobbs, William R; Huber, Matthew; Hughes, Anna L.C.; Jaccard, Samuel L.; Ruan, Jiaoyang; Kienast, Markus; Konecky, Bronwen; Le Roux, Gael; Lyubchich, Vyacheslav; Novello, Valdir F.; Olaka, Lydia; Partin, Judson; Pearce, Christof; Phipps, Steven J.; Pignol, Cecile; Piotrowska, Natalia; Poli, Maria-Serena; Prokopenko, Alexander; Schwank, Franciele; Stepanek, Christian; Swann, George E.A.; Telford, Richard; Thomas, Elizabeth R.; Thomas, Zoe; Truebe, Sarah; Von Gunten, Lucien; Waite, Amanda J.; Weitzel, Nils; Wilhelm, Bruno; Williams, John W.; Williams, Joseph J.; Winstrup, Mai; Zhao, Ning; Zhou, Yuxin (Journal article; Peer reviewed, 2019-09)
      The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. ...

    • Perspectives on automated composition of workflows in the life sciences [version 1; peer review: 2 approved] 

      Lamprecht, Anna-Lena; Palmblad, Magnus; Ison, Jon; Schwämmle, Veit; Al Manir, Mohammad Sadnan; Altintas, Ilkay; Baker, Christopher J. O.; Ben Hadj Amor, Ammar; Capella-Gutierrez, Salvador; Charonyktakis, Paulos; Crusoe, Michael R.; Gil, Yolanda; Goble, Carole; Griffin, Timothy J.; Groth, Paul; Ienasescu, Hans; Jagtap, Pratik; Kalaš, Matúš; Kasalica, Vedran; Khanteymoori, Alireza; Kuhn, Tobias; Mei, Hailiang; Ménager, Hervé; Möller, Steffen; Richardson, Robin A.; Robert, Vincent; Soiland-Reyes, Stian; Stevens, Robert; Szaniszlo, Szoke; Verberne, Suzan; Verhoeven, Aswin; Wolstencroft, Katherine (Journal article; Peer reviewed, 2021)
      Scientific data analyses often combine several computational tools in automated pipelines, or workflows. Thousands of such workflows have been used in the life sciences, though their composition has remained a cumbersome ...