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The document discusses the importance of managing research data. It notes that data management saves time, makes long-term data preservation easier, and supports sharing data with others. Data sharing is now required by most major funding agencies and academic journals. The document provides examples of problems caused by poor data management practices and outlines the key components of a data management plan, such as describing the data, file formats, sharing and archiving policies, and responsibilities. Researchers are encouraged to seek help from scientific consulting services for creating data management plans.
This document provides an overview of data management for librarians. It defines data and data management, which involves helping researchers cite, store, catalogue, and provide access to their data. A data management plan is a plan for how a researcher will handle their data during and after their research. Many funding agencies now require a data management plan. The document encourages librarians to refer researchers to their institution's data services team for help with data management tasks and creating data management plans. It also emphasizes that data management is now an important part of the librarian's role to support researchers.
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This document discusses data management strategies for organizing files. It recommends developing a consistent naming system using logical folders, date formats, and keywords. It suggests using logic tests to determine the best storage location based on factors like confidentiality, sharing needs, and whether the file is a draft or final version. The document also provides search tips, discusses different Windows views, and covers options for synchronizing and archiving files, including cloud storage and department-specific applications.
The document discusses the importance of managing research data. It notes that data management saves time, makes long-term data preservation easier, and supports sharing data with others. Data sharing is now required by most major funding agencies and academic journals. The document provides examples of problems caused by poor data management practices and outlines the key components of a data management plan, such as describing the data, file formats, sharing and archiving policies, and responsibilities. Researchers are encouraged to seek help from scientific consulting services for creating data management plans.
This document provides an overview of data management for librarians. It defines data and data management, which involves helping researchers cite, store, catalogue, and provide access to their data. A data management plan is a plan for how a researcher will handle their data during and after their research. Many funding agencies now require a data management plan. The document encourages librarians to refer researchers to their institution's data services team for help with data management tasks and creating data management plans. It also emphasizes that data management is now an important part of the librarian's role to support researchers.
Maximizing Classroom Collaboration Using Web 2.0 Technologytcc07
This document discusses using Google Docs and Spreadsheets to maximize classroom collaboration. It provides an overview of how these tools allow for anytime access to shared documents, automatic saving, and ability to view individual contributions. Examples are given of how these tools could be used for group projects and papers in classes to improve the collaborative process for both students and faculty. Concerns about using these tools are also addressed, such as interface issues and managing multiple revisions.
The purpose of this presentation is to help educators stop spending time on "managing clutter" and spend time on what really matters- interacting with children to help them learn. This interactive workshop will share technology apps to simplify their professional life.
This document provides an overview of a workshop on good practice in research data management held at the University of Tartu, Estonia. The workshop covered various topics including defining research data, research data management and data management plans, organizing and documenting data, file formats and storage, metadata, security, and sharing and preserving data. The workshop was led by Stuart Macdonald from the University of Edinburgh and included presentations, introductions, and discussions around each of these research data management topics.
Review the steps involved in the research process (identifying the research problem, reviewing the literature, planning/design, collecting, analyzing storing & sharing data, quality control).
Identify the latest technology tools and apps (mobile, cloud-based, web-based) available for Lecturers and Librarians to utilize at each stage of the research process.
Introduce a range of emerging technology tools to enable researchers to conceptualize, conduct and complete research projects.
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Our time is too valuable to spend it looking for files or re-inventing what we’ve already created. It’s time to get off of file shares and adopt a content management strategy leveraging SharePoint libraries, metadata, and search.
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In this session we feature TermSet, an exciting new product that automatically adds metadata and taxonomies to SharePoint. All without a burden on business users or your IT department!
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The document discusses strategies for migrating from Microsoft Office to OpenOffice.org. It recommends conducting an analysis of organizational needs, hardware/software compatibility, and document formats. A phased deployment approach is suggested, along with training champions, internal marketing, and ongoing technical support to ease users through the transition. The key is managing the technological, psychological, and motivational impacts of change through clear communication and involvement of decision makers.
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This document provides an overview of a workshop on good practice in research data management held at the University of Tartu, Estonia. The workshop covered various topics including defining research data, research data management and data management plans, organizing and documenting data, file formats and storage, metadata, security, and sharing and preserving data. The workshop was led by Stuart Macdonald from the University of Edinburgh and included presentations, introductions, and discussions around each of these research data management topics.
Review the steps involved in the research process (identifying the research problem, reviewing the literature, planning/design, collecting, analyzing storing & sharing data, quality control).
Identify the latest technology tools and apps (mobile, cloud-based, web-based) available for Lecturers and Librarians to utilize at each stage of the research process.
Introduce a range of emerging technology tools to enable researchers to conceptualize, conduct and complete research projects.
Using Office365 to build collaborative teamsOS-Cubed, Inc.
This presentation reviews the various tools available within the Office365 infrastructure in 2017 to work together as a team to build collaborative documents and document libraries
This slideshow was used at a lunchtime session delivered at the Humanities Division, University of Oxford, on 2014-05-12. It provides a general overview of some key data management topics, plus some pointers on where to find further information.
Responsible conduct of research: Data ManagementC. Tobin Magle
A presentation for the Food and Nutrition Science Responsible conduct of research class on data management best practices. Covers material in the context of writing a data management plan.
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Sheets from a workshop to help people understand the differences between information processes and technology. And to help them relate information processes to the right technology to increased productivity and improve information and knowledge management.
This document provides information about a course on research data management. The course covers topics like data management planning, writing data management plans, data citation, data archiving, and legal issues related to data management. It includes an agenda with presentations, activities, and discussions on these topics led by data librarians and legal advisors. The goal is to teach researchers the importance of proper research data management practices.
Research Data Management and Sharing for the Social Sciences and HumanitiesRebekah Cummings
This document summarizes a presentation on research data management for social and behavioral sciences and humanities. The presentation covered topics such as what data management is, why it is important to manage and share data, how to create data management plans, organize data files through naming conventions and folder structures, describe data through metadata and codebooks, issues around data ownership, and data storage, archiving and sharing options. The presentation was aimed at providing guidance to researchers at the University of Utah on best practices for managing and sharing their research data.
Our time is too valuable to spend it looking for files or re-inventing what we’ve already created. It’s time to get off of file shares and adopt a content management strategy leveraging SharePoint libraries, metadata, and search.
We can all fall victim to clinging to our folder structures but there’s a better way. Learn how to take advantage of the beneficial features of powerful search and custom metadata in SharePoint.
In this session we feature TermSet, an exciting new product that automatically adds metadata and taxonomies to SharePoint. All without a burden on business users or your IT department!
A basic course on Research data management, part 4: caring for your data, or ...Leon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
This document discusses data management practices for researchers. It defines what constitutes data, such as observations, experiments, simulations, and documents. It outlines the roles of librarians in advising on data management plans, metadata practices, and archiving data. It also discusses why data management is important for validation, replication of research, and compliance with funder requirements. The document provides examples of file structures, naming conventions, metadata, codebooks, and archiving data in institutional repositories to facilitate long-term access and reuse of research data.
The document discusses strategies for migrating from Microsoft Office to OpenOffice.org. It recommends conducting an analysis of organizational needs, hardware/software compatibility, and document formats. A phased deployment approach is suggested, along with training champions, internal marketing, and ongoing technical support to ease users through the transition. The key is managing the technological, psychological, and motivational impacts of change through clear communication and involvement of decision makers.
Research Data Management Fundamentals for MSU Engineering StudentsAaron Collie
This document discusses the importance of research data management and outlines best practices. It notes that data is expensive to produce but is the primary output of research. Funding agencies now require data management plans to facilitate data sharing and reuse. The document recommends storing data on multiple types of storage, avoiding single points of failure, creating backup strategies, documenting projects and data, and selecting open file formats. Overall, it emphasizes that data management is an important skill for researchers.
Slides for presentation and live demo to School of Philosophy, Psychology and Language Sciences on the benefits of learning about good practice in research data management with MANTRA, and sharing data via DataShare.
This document discusses best practices for data management for research. It covers topics such as file organization, documentation, storage, sharing and publishing data, and archiving. Good practices include using file naming conventions and open formats, documenting projects, processes, and data, making backups in multiple locations, and publishing and archiving data in repositories to enable access and preservation. Data management is important for research reproducibility, sharing, and complying with funder requirements.
Research data management: course OGO Quantitative research (21-11-2018)Leon Osinski
Research data management involves three key aspects: 1) protecting data through organized file naming and folder structures, 2) sharing data via collaboration platforms or archives to enable reproducibility and reuse, and 3) caring for data through tidy formatting, thorough metadata and documentation, and use of open standards to ensure understandability and usability.
IA Summit 09 - User Interfaces with Metasearch Capabilitiesguestbc914e
The document summarizes findings from usability studies of metasearch interfaces conducted at three organizations. It identifies challenges users faced with advanced search, filtering results, and understanding where results came from. It provides best practices for metasearch interfaces such as displaying a progress indicator, offering advanced search options, and clearly showing the sources being searched. The studies found differences between sophisticated and unsophisticated searchers that should be accommodated.
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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4. What now?
What I mean when I say “data”
Examples (mine and yours)
Tips and tricks
File management
Naming conventions
Sharing
Resources
Q&A (throughout!)
5. What is your “data”?
Work files, aka documents
PPT, Word, Excel
Presentations (audio/video recordings)
Email
Chat
Committee work
Posters, articles
Handouts, flyers, bookmarks
Twitter, FB, instagram: social media (whether for marketing or work
communication)
6. What do you do with your data?
It’s used for (or actually exists as):
Presentations
Assessments
Reference
Comments/questions
Tracking impact
Marketing
Other documents related to class (handouts, etc)
Creating LibGuides
Other
7. Someone asks you…
Where is your data?
How discoverable is it?
How easy is it to share?
8. File management
& naming conventions
Tips (from
http://www.paradigm.ac.uk/workbook/appendices/guidelines-
tips.html)
Be concise
Data&altmetrics.presentation.workingdocuments.research.notes.robin&j
enny.doc… um, no.
Select meaningful names
Presentation.doc vs data&altmetrics.background.doc
Develop standard naming conventions
Use whatever works for you, but be consistent
Avoid capitals or spaces in names
Use the format yyyymmdd (e.g. 10 June 2005 = 20050610)
20150914.data&altmetrics.final.ppt
Adopt a version control system for drafts
20150914.data&altmetrics.2.doc
9. File management
& naming conventions
Make your data self-documenting with good names and folders
Add information to the body of digital documents which explains them to
a general audience (hello metadata!):
Delete what’s not important (do this on our regular cleanup day)
Document Title Caring for your personal archive
Author(s) A.N. Other and A. Colleague
Purpose Provide guidance to individuals wishing to preserve their digital
materials for their own use and for placement at an archival repository.
Date 01/02/2007- Filename 20070201sampledoc-2.odt
Access Internal General dissemination
Document History
Version Date Comments
1 01/02/2007Document created by A. N. Other
2 31/03/2007Revisions to language by A. Colleague
10. Storage and backup
Storage options: pro & cons
Backup options: use them! (regularly)
And decide what to back up
Sharing does not equal storage OR backup
11. Sharing
Open source
Open publishing
Share your presentations & classes
Share your papers
Tracking (Robin)
12. Resources: personal organization
http://personaldigitalarchiving.com (next conference 2016, old ones
online)
http://library.columbia.edu/locations/dhc/personal-digital-
archiving/online-resources.html
http://www.ala.org/lita/digitalarchiving (personal digital archiving for
librarians, class coming up next month)
For the academics out there:
http://people.ucsc.edu/~swhittak/papers/folder_structure_final.pdf
13. Action items
Review your storage!
Desktop (+ remote desktop)
Google drive
Staffweb
Dropbox
Etc
Delete old items!
Back things up!
Share something!
Slideshare
ResearchWorks
Etc.
Editor's Notes
Quick show of hands for who uses what to store work files of any type.
Write on board.
Another poll: does anyone use these services?
If someone asks you about your work, to talk about it or to see it, to understand specifics of it, do you panic?
Do you know where it is?
Can someone else find it without your help?
Can you provide it to them easily?
Be concise: avoid long and complex file paths.
Select meaningful names: this facilitates searching and browsing.
Develop standard naming conventions for the file names of record types you create or save on a regular basis.
Avoid capitals or spaces: this can cause problems when moving files between different computing environments.
Use the format yyyymmdd (e.g. 10 June 2005 = 20050610) for recording dates: that way your files will be presented chronologically in file management tools.
Adopt a version control system for drafts (e.g. yyyymmdddocumentname-2.pdf, where -2 denotes that this is 'version 2' of the document). This prevents the embarrassment of sending the wrong version of a document to others. Drafts are also valuable for researchers tracing the creative thought process.
File related information together in well-named folders, which give an indication of the subject, project or activity on which they are based.
Add information to the body of digital documents which explains them to a general audience. This can help you when you re-discover a document too. Simple information, such as a log of authors, a document history and a note about the purpose of a document can be very helpful. You could add a simple table like this to any textual document:
We already went through some of these in our first poll. Perhaps you’re one of those people who can minimize the number of storage locations they use…
Poll: Does anyone here regularly backup their stuff? Laptop? Google drive? Ever lost anything on either of those?
Note: just because you’ve shared it doesn’t mean it saved.
Open source is for data.
Open publishing (many options out there), use these instead of journals.
Slideshare etc for presentations or classes.
Even staffweb is good for sharing with peers.
Tweet your papers or presentations, write them up, share at conferences, etc. Make sure others can find them. Use whatever metadata is available to you.