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Rd-Alliance.Org @Resdatall | @RDA US About Research Data Alliance (RDA)
rd-alliance.org @resdatall | @RDA_US About Research Data Alliance (RDA) Research Data Alliance (RDA) Community of over 11,830+ data experts from around the globe (145 countries) who collaborate together in building the social and technical bridges to enable open sharing and re- use of data. RDA-US The RDA-US is a recognized Region of the Research Data Alliance represented by 2,500 RDA members who supports the global operations and help strengthen the data science infrastructure community. Join RDA www.rd-alliance.org rd-alliance.org @resdatall | @RDA_US Recording Please note, this event is being recorded, and will be available on the RDA website. Recording Questions and Answers Please use the Q&A option to ask questions of the presenter. Q & A The Q&A option can be found at the bottom X X of your Zoom screen rd-alliance.org @resdatall | @RDA_US rd-alliance.org @resdatall | @RDA_US 23 Things: Libraries for Research The Top 10 FAIR Data & Software Data Things’ Mijke Jetten, Dutch Techcentre for Chris Erdmann American Life Sciences (DTL) and Health-RI Geophysical Union (AGU) An introduction of the L4RD new Engaging Researchers with Data chairs and a discussion of new Management: The Cookbook group initiatives Connie Clare Delft University of Technology (TU Delft) Su Nee Goh, Nanyang Technological University rd-alliance.org @resdatall | @RDA_US RD-ALLIANCE.ORG @rda_us @resdatall Thank You For Joining! rd-alliance.org @resdatall | @RDA_US RDA’s 23 things adopted: a tool for knowledge and training on RDM for various audiences Mijke Jetten [email protected] On behalf of the 23 Things Task Group of the LCRDM L4RD webinar, June 28, 2021 Link to presentation: https://doi.org/10.5281/zenodo.5036380 23 Things project & tool: https://www.lcrdm.nl/23things Adopting the 23 things What? 23 Things versions for different audiences Why? - New topics for Dutch context: FAIR, GDPR, Open Science .. -
Language Archive Records: Interoperability of Referencing Practices and Metadata Models
University of North Dakota UND Scholarly Commons Theses and Dissertations Theses, Dissertations, and Senior Projects January 2021 Language Archive Records: Interoperability Of Referencing Practices And Metadata Models Hugh J. Paterson Iii Follow this and additional works at: https://commons.und.edu/theses Recommended Citation Paterson Iii, Hugh J., "Language Archive Records: Interoperability Of Referencing Practices And Metadata Models" (2021). Theses and Dissertations. 3937. https://commons.und.edu/theses/3937 This Thesis is brought to you for free and open access by the Theses, Dissertations, and Senior Projects at UND Scholarly Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of UND Scholarly Commons. For more information, please contact [email protected]. LANGUAGE ARCHIVE RECORDS: INTEROPERABILITY OF REFERENCING PRACTICES AND METADATA MODELS by Hugh Joseph Paterson III Bachelor of Arts, Southern Illinois University Edwardsville, 2007 A Thesis Submitted to the Graduate Faculty of the University of North Dakota in partial fulfillment of the requirements for the degree of Master of Arts Grand Forks, North Dakota May 2021 Copyright 2021 Hugh Joseph Paterson III This work is licensed under a Creative Commons Attribution-NonCommercial- NoDerivatives 4.0 International License. ii This thesis, submitted by Hugh Joseph Paterson III in partial fulfillment of the requirements for the Degree of Master of Arts from the University of North Dakota, has been read by the Faculty Advisory Committee under whom the work has been done and is hereby approved. _______________________________________ J. Albert Bickford, Chair _______________________________________ Douglas M. Fraiser _______________________________________ Robert Fried This thesis is being submitted by the appointed advisory committee as having met all of the requirements of the School of Graduate Studies at the University of North Dakota and is hereby approved. -
Devan Ray Donaldson, Ph.D. Luddy Hall Room 2126, 700 N
Devan Ray Donaldson, Ph.D. Luddy Hall Room 2126, 700 N. Woodlawn Avenue Department of Information and Library Science Luddy School of Informatics, Computing, and Engineering Bloomington, IN, 47408, United States 812-855-9723 | [email protected] https://devanraydonaldson.com https://orcid.org/0000-0003-2304-6303 https://www.researchgate.net/profile/Devan_Donaldson EDUCATION 2015 Ph.D., Information, University of Michigan 2008 M.S., Library Science, University of North Carolina 2006 B.A., History, College of William and Mary ACADEMIC POSITIONS August 2015 – Present Assistant Professor of Information Science Indiana University, Bloomington, IN March 2015 – July 2015 Visiting Assistant Professor of Information Science Indiana University, Bloomington, IN RESEARCH INTERESTS Digital Preservation, Trust, Digital Curation, Digital Repositories, Research Data Management, Data Librarianship, Data Sharing, Mass Digitization, Data Science, Preservation Metadata, and Security. RESEARCH FUNDING RF9 “[Chinese Student = Spy?] [Black Man = Predator?] Reducing Racial Bias in Legal Artificial Intelligence.” Racial Justice Research Fund, Indiana University, co- Principal Investigator with Dr. Xiaozhong Liu, $14,708, February 2021 – Present. RF8 Indiana University Open Access Article Publishing Fund, $1,695, November, 2020. RF7 “Data Quality Assessment and Electronic Health Record Data Reuse.” Regenstrief Institute, Principal Investigator, $45,000, June 2020 – Present. RF6 “Bridging the Gap between Scientists, Institutional Repositories and Data Management Practices.” Institute of Museum and Library Services (IMLS) Laura Bush 21st Century Librarian Program, Early Career Development Award. Principal Investigator, $330,408, July 2019 – June 2022. (#RE-37-19-0082-19). RF5 “Library Capacity Assessment and Development for Big Data Curation.” Institute of Museum and Library Services (IMLS) National Leadership Grants for Libraries Program. -
Data Citation Working Group Mtg @ P17 April 21 2021, Virtually (Edinburgh) Agenda 2
Data Citation Working Group Mtg @ P17 April 21 2021, virtually (Edinburgh) Agenda 2 . Introduction, Welcome . Short description of the WG recommendations . Paper on adoption stories: lessons learned . Q&A on recommendations . On-going adoption activities, other WGs . Other issues, next steps Welcome and Intro 3 ! to the maintenance meeting of the Agenda 4 . Introduction, Welcome . Short description of the WG recommendations . Paper on adoption stories: lessons learned . Q&A on recommendations . On-going adoption activities, other WGs . Other issues, next steps Identification of Dynamic Data 5 . Usually, datasets have to be static . Fixed set of data, no changes: no corrections to errors, no new data being added . But: (research) data is dynamic . Adding new data, correcting errors, enhancing data quality, … . Changes sometimes highly dynamic, at irregular intervals . Current approaches . Identifying entire data stream, without any versioning . Using “accessed at” date . “Artificial” versioning by identifying batches of data (e.g. annual), aggregating changes into releases (time-delayed!) . Would like to identify precisely the data as it existed at a specific point in time Granularity of Subsets 6 . What about the granularity of data to be identified? . Enormous amounts of CSV data . Researchers use specific subsets of data . Need to identify precisely the subset used . Current approaches . Storing a copy of subset as used in study -> scalability . Citing entire dataset, providing textual description of subset -> imprecise (ambiguity) . Storing list of record identifiers in subset -> scalability, not for arbitrary subsets (e.g. when not entire record selected) . Would like to be able to identify precisely the subset of (dynamic) data used in a process RDA WG Data Citation 7 . -
The First Five Years Abstract 1. WHAT IS THE
1 The Research Data Alliance – The First Five Years Francine Berman1 2019-2020 Radcliffe Fellow, Harvard University Edward P. Hamilton Distinguished Professor of Computer Science Rensselaer Polytechnic Institute Abstract The Research Data Alliance (RDA) is an international organization dedicated to promoting the development of global infrastructure for data sharing and data-driven exploration. Launched in 2013, the RDA has grown precipitously from 250 individuals at its first Plenary to over 9000 RDA community members from 135+ countries in 2019. The state and evolution of the RDA provides a case study in the development of an organization from the ground up and the choices made to create both community and impact. This piece provides a perspective on RDA’s present, past, and future from one of the original founders of the organization. Keywords: data, infrastructure, stewardship, preservation, global community, volunteer organization, organizational sustainability 1. WHAT IS THE RESEARCH DATA ALLIANCE? The Research Data Alliance (RDA) is a community-driven organization dedicated to the development and use of infrastructure that promotes data sharing and data-driven exploration. The RDA supports the development of both technical infrastructure (code, protocols, tools, models, etc.) and social/community infrastructure (common vocabularies, curricula, pre-standards, etc.) that reduce the difficulties researchers encounter when seeking to access, harmonize, and use data to address research and societal problems. The success of the RDA, as measured by growth of its community and the development of real infrastructure used by many, has been both precipitous and surprising. Precipitous, as RDA has grown from an initial phone call with eight founders in August, 2012 to a community of over 9000 from 135+ countries in 2019 (Figure 1). -
Draft Workshop Agenda Enhancing Access to Research Data During Crises: Lessons Learned from the COVID-19 Pandemic
1 Draft Workshop agenda Enhancing access to research data during crises: lessons learned from the COVID-19 pandemic. Workshop to be held on 23 April, 2021, via Zoom, 12:30-16:00 CET (Paris time), [10.30-14:00 UTC] The workshop is being jointly organised with the Research Data Alliance (RDA) and has been recognised as co- located event with the RDA Plenary 17 Summary The workshop will include case studies from different fields of research relevant to the COVID-19 pandemic and consider, from the user perspective, how existing policy frameworks, including the 2021 OECD recommendation, are applicable across these different domains. What are the main outstanding challenges that need to be addressed and what policy actions are required? Aim: to explore key challenges and good practices to enhance research data access in response to the COVID-19 pandemic and identify lessons for science policy in the future. 12.30-12.40 Introduction 2x 5min intro presentations to introduce the workshop Carthage Smith OECD Global Science Forum – OECD work on research data access Natalie Harrower, Director, Digital Repository of Ireland, Royal Irish Academy– RDA Recommendations and Guidelines for data sharing and COVID-19 12.40-13.20 Session 1: Basic medical and clinical research What are the main challenges for access to research data in these fields in relation to COVID-19? How are these challenges being addressed? What is needed to be better prepared for future crises? What are the implications for science policy (taking note of the 2021 OECD recommendation and RDA work)? 3 case presns (10mins each) 1) Nevine Zariffa, Scientific Project Lead, International COVID-19 Data Alliance (ICODA), UK: ICODA- harnessing the power of health data. -
Andrea L. Berez-Kroeker
Curriculum Vitae September 2021 Dr. Andrea L. Berez-Kroeker Department of Linguistics University of Hawaiʻi at Mānoa 1890 East West Road Honolulu, HI 96822 USA phone: +1-808-956-3240 email: [email protected] url: http://www2.hawaii.edu/ aberez/ orcid: 0000-0001-8782-515X Education 2011 PhD Linguistics, University of California, Santa Barbara. Dissertation: Discourse, Landscape, and Directional Reference in Ahtna. 2006 MA Linguistics, Wayne State University. 1998 MFA, New York Academy of Art. 1994 BFA, University of Michigan. Appointments 2021– Professor, Department of Linguistics, University of Hawaiʻi at Mānoa. 2018– Cooperating Graduate Faculty, Department of Second Language Studies, University of Hawaiʻi at Mānoa. 2016–2021 Associate Professor, Department of Linguistics, University of Hawaiʻi at Mānoa. 2011–2016 Assistant Professor, Department of Linguistics, University of Hawaiʻi at Mānoa. 2011–2015 Visiting Lecturer, Department of Linguistics, University of Alberta (summer terms). Publications Edited volumes In press Berez-Kroeker, Andrea L., Bradley McDonnell, Eve Koller & Lauren B. Collister (eds.). The open handbook of linguistic data management. Cambridge, MA: MIT Press. 2018 McDonnell, Bradley, Andrea L. Berez-Kroeker & Gary Holton (eds.). Reflections on language documen- tation on the 20 year anniversary of Himmelmann 1998 (Language Documentation & Conservation Special Publication 15). Honolulu: University of Hawaiʻi Press. 2016 Berez-Kroeker, Andrea L., Diane Hintz & Carmen Jany (eds.). Language contact and change in the Amer- icas: Studies in honor of Marianne Mithun. Amsterdam: John Benjamins. 2010 Berez, Andrea L., Jean Mulder, & Daisy Rosenblum (eds.). Fieldwork and linguistic analysis in Indigenous languages of the Americas. Journal of Language Documentation & Conservation Special Publication No. 2. Honolulu: University of Hawaiʻi Press.