eResearch Network

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Revision as of 16:17, 3 March 2016 by Bpatterson (talk | contribs) (Introduction Guide Addition)

This list of resources is curated by the Digital Library Federation (DLF) for the benefit of institutions involved in the planning and implementation of research data management services (RDMS). Participants of the DLF E-Research Network [1] program of the Council on Library and Information Resources (CLIR)[2] may find these helpful in developing and implementing RDMS.

If you would like to suggest a resource for inclusion on this page, send your suggestion to [info@diglib.org]. The DLF is currently seeking professionals from DLF member institutions who would like to participate in a curatorial group to develop and maintain the content of this page. Prospective volunteers for this group should also send expressions of interest to [info@diglib.org].


Welcome to the eResearch Guide. The following resources were taken from past cohorts of eResearch Networks (eRN) and sorted via topics relevant to the eRN community. To add to this guide, please send an email to [info@diglib.org].


Welcome to eResearch

If you’re new to the eRN community or just want a refresher - this is the place to start. Below are helpful tips, links and videos to give you a sense of what has been done in past cohorts.

Introduction Webinar

Members of eRN are given access to Webinars (May - October) that discuss topics relevant to the eRN. The webinars revolve around curriculum picked by the planning committee (listed below). Other structural elements of eRN include group activities, consultations, in-person events, evaluation/assessments and digital badges or certificates of completion.

curriculum

2016

  • Outreach/Inreach
  • Data Literacy
  • Data Management Planning and Funder Requirements
  • Data Discovery/Metadata and Curation
  • Digital Scholarship, Digital Humanities, Data Visualization
  • Data Privacy and Data Ethics
  • Assessment

2015

  • Research Data Management Services at Your Institution
  • Data Management Needs
  • Library Instruction / Faculty and Student Engagement
  • Data Collection, Discovery, and Analysis
  • Services Evaluation: Planning and Conducting Evaluations of Your Own

2014

  • Development of Research Data Services (RDS) in the Library
  • Digital Repositories: Existing Data Curation Options; Institutional and Specialized Data Repositories
  • Data Management Needs
  • Library Instruction and Faculty and Student Engagement
  • Data Collection, Discovery, and Analysis
  • Services Evaluation - Planning and Conducting Evaluations of Your Own Efforts

webinars

2015

  • Final 2015 eRN webinar on "Services Evaluation: Planning and Conducting Evaluations of Your Own". Guest speaker was Sara Mannheimer (Montana State). (10/14/2015)
  • "Data Curation Repository Models", featuring Nancy McGovern of MIT Libraries as guest speaker. (9/23/2015)
  • "Data Collection, Discovery, and Analysis", featuring eRN faculty and postdoctoral fellows Plato Smith, Kendall Roark, and Margarita Corral. (8/12/2015)
  • "Library Instruction / Faculty & Student Engagement". Guest speakers, Elaine Martin and Donna Kafel from the UMASS Medical School Library. (7/15/2015)
  • "Data Management Needs", with guest speaker Kathleen Fear, Data Librarian, University of Rochester. (6/10/2015)
  • Informal debriefing session for those who attended RDAP 2015 (5/17/2015)
  • "Research Data Management Services at Your Library" with guest speaker D.Scott Brandt of Purdue. Also includes Network members self-selection on DMS at their institutions. (5/13/2015)
  • Informational webinar on the 2015 E-Research Network. 2014 cohort members Kathleen Fear (Univ. of Rochester) and Mayu Ishida (Univ. of Manitoba) discuss their eRN experience. (2/4/2015)

2014

  • Final 2014 ERPNMG webinar on services evaluation and the ERPNMG experience. Guest speaker was Micheal Witt (Purdue). He requested that his talk not be recorded nor his slides shared after the presentation. (10/15/2014)
  • "Data Collection, Discovery and Analysis." Guest speakers Michele Hayslett (UNC) and John Huck (Univ of Alberta) discuss collection policies for data and collaborating to support access to data through metadata. (9/17/2014)
  • "Library instruction / Faculty and student engagement - focus on literacy, embedded librarianship and engagement." Guest speakers Elaine Martin and Donna Kafel (UMass Medical) discuss the NECDMC to teach RDM, and Alisa Surkis (NYU Medical) discusses the development of library data services at an academic medical center. (8/13/2014)
  • "Data Management Needs - approaches to assessing the data management needs and developing data management plans." Guest speakers Alicia Hofelich Mohr and Thomas Lindsay from the Univ. of Minnesota discuss "Data Management Needs in the College of Liberal Arts". (7/16/2014)
  • Supplemental recording to the June 11, 2014 webinar featuring guest speaker Nancy McGovern, Head of Curation and Preservations Services at MIT Libraries. (7/9/2014)
  • "Digital Repositories - Existing data curation options, including institutional and specialized data repositories." Postdoctoral fellows Kendall Roark, Vessela Ensberg, and Inna Kouper and faculty member Nancy McGovern lead and moderate. (6/11/2014)
  • "The Development of Research Data Services (RDS) in the Library". Faculty member Chuck Humphrey and postdoctoral fellows Vessela Ensberg and Natsuko Nicholls lead and moderate. (4/23/2014)
  • Open House / Interest Webinar (3/12/2014)

Introduction to eResearch

eResearch (or e-Research) refers to the use of information technology to support existing and new forms of research. It extends e-Science and cyberinfrastructure to other disciplines like the humanities and social sciences. David Minor of University of California, San Diego Libraries, explains the complexities of cyberinfrastructure [3]. The e-Science Institute (ESI) provides ‘’key concepts and terms’’ [4] including definitions for e-Research, cyberinfrastructure, and e-Science (also listed below).

e-Research
The term e-Research here refers to the use of information technology to support existing and new forms of scholarly research in all academic disciplines, including the humanities and social sciences. E-research encompasses computational and e-science, cyberinfrastructure and data curation. E-Research projects often make use of grid computing or other advanced technologies, and are usually data intensive, but the concept also includes research performed digitally at any scale. E-research is useful here as a way to bridge the concept of e-science to other fields such as social science and the humanities. Just as e-science applies large-scale computing to processing vast amounts of scientific research data, e-research could include studies of large linguistic corpuses in the humanities, or integrated social policy analyses in the social sciences.
Cyberinfrastructure
Cyberinfrastructure (or CI) describes research environments that support advanced data acquisition, data storage, data management, data integration,data mining, data visualization and other computing and information processing services distributed over the Internet beyond the scope of a single institution. In scientific usage, cyberinfrastructure is a technological strategy for efficiently connecting laboratories, data, computers, and people with the goal of enabling novel scientific theories and knowledge. The term “cyberinfrastructure” was coined in the U.S. and other countries have different terms for this type of technological infrastructure. Cyberinfrastructure now often includes systems for managing, archiving and preserving data, in addition to data processing, and so can include digital libraries and archives and the software and hardware to support them.
e-Science
E-Science is computationally intensive science carried out in highly distributed network environments, such as science that uses immense data sets requiring grid computing or High Performance Computing to process. The term sometimes includes technologies that enable distributed collaboration, such as the Access Grid, and is sometimes used as an alternative term for Cyberinfrastructure (e.g. e-Science is the preferred term in the UK). Examples of e-Science research include data mining, and statistical exploration of genome and other –omic structures.

A helpful list,’’ 23 Things: Libraries for Research Data’’ [5] put out by the Research Data Alliance (RDA), provides learning resources “to help librarians engage in research data!” A “Getting Started in e-Science Guide” [6], created by University of Massachusetts Medical School contains comprehensive resources to assist librarians.

Research Data Management

Research Data Management (RDM) refers to the storage, access and preservation of data produced during the entire lifecycle of the data. Eugene Barsky of University of British Columbia gave an overview [7] of the subject in 2015, including providing a glossary of ‘’Research Data Canada’’ [8].

Consultation Sessions

Each institutional team will receive a personalized consultation with faculty members and or CLIR/DLF Data Curation postdoctoral fellows. Consultations are designed to be:

  • Individualized (one 90 minute session or two 45 minute sessions) fully focused on institution and team needs
  • Institutions submitted topics and questions
  • Confidential

Staying Connected

There are many ways to stay connected with other members of the eRN. Beyond connecting with others via the ‘’CLIR Connect portal’’ [9], Google group [10], or LinkedIn group [11], some may be interested in the ‘’MemberCentric Phone Application’’ [12]. This app helps eRN members to connect and collaborate, participate in communities of interest, and access up-to-date content and news from DLF and CLIR.

Another way to stay connected - how about following DLF on Twitter ‘’@CLIRDLF’’ [13] or tweeting about eRN experiences, webinars, etc. using ‘’#ersearchnetwork’’ [14].

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