0
SCIENCE IS A MOVIN
eScience, Team Science the Data Deluge and More
Hello there!
1 | Research 101
2 | The Cycle
3 | +Library
Jackie…
Amanda…
Research Rocks
1 | Research 101
The Research Cycle
The Research
Cycle
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
The Research
Cycle:
What people
think
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Stor...
The Research
Cycle:
What Really
Happens
1. Brilliant Idea!
2. Build Idea
3. Fund Id
4. Research
5. Compile
6. Share & Stor...
The Research
Cycle:
What Really
Happens
1. Idea!
2. Build
Idea
3.FUND
IDEA4.Research
5. Compile
6. Share & Stor
1. Idea #2...
The Research Cycle:
What People Think
The Research Cycle:
What Really Happens
escience
+ eresearch
= ewhat?
escience:
What Is it?
eresearch:
What Is it?
you say tomato…
tomaytoe
tomahto
Solanum
lycopersicum
PANTONE
1795 C
tdTomato
554ex 581em
$64
Data comes in many flavors
MetaData comes in many flavors
2 | The Cycle
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
Where do good ideas come from?
Hypothesis |incremental |data
Literature
conferences
Thinking (really hard)
Group Drinking Thinking
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
Existing data | literature |
Databases
Existing data | literature |
Databases
Colleagues  Team Science
OHSU
Schools
Resources
Shared
Research
Resources
Research
Centers
Advanced Imaging Research Center
Casey Eye Institute
Cen...
OHSU
Schools
Resources
Shared
Research
Resources
Research
Centers
Advanced Imaging Research Center
Casey Eye Institute
Cen...
OHSU
Schools
+
Shared
Research
Resources
Research
Centers
Advanced Imaging Research Center
Casey Eye Institute
Center for ...
OHSU
Schools
+
Shared
Research
Resources
Research
Centers
School of
Medicine
Other
Resources
Clinical
Science
School of
De...
Colleagues  Team Science
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
Money, money, money
Where Money Trees Grow
How We can Help….
How We can Help….
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
Lab Notebooks
0
100
200
300
400
500
600
700
800
900
1000
Number of labs with inventory
Total number of labs
Lab Notebooks: Next Generation
Data
management
1. Online resourc
2. workshops
3. consultations
4. coursework
5. Collaboration
6. Data curation
Shared vs discoverable vs
OPeNDAP
Data Tracking | version control
Naming conventions
Project_instrument_location_YYYYMMDDhhm
mss_extra.ext
Index/grant conditions Leading zero!
s/n, variabl...
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
Data does not speak for itself…
Scientists speak for their data
Casual |conference |paper |funding
Casual |conference |paper |funding
VISUALIZATION
Casual |conference |paper |funding
Posters / Talks
Casual |conference |paper |funding
Papers
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
LIBRARY
Metrics and altmetrics
Torture numbers, and they'll
confess to anything.
~Gregg Easterbrook
Statistics can be made to prove
anything - even the truth.
~Author Unknown
Curation & Ontologies
The Research
Cycle
1. Brilliant Idea!
2. Build Idea
3. Fund Idea
4. Research
5. Compile
6. Share & Store
7. Fame, Fortune
Yeah, right.
3 | +Libraries
Hello there!
how can we best
Integrate With the
Research Cycle?
LIBRARIAN
STEROTYPE
Don’t think like this…
[Jackie][Geeks]
[ONTOLOGY]
[DATA Curation]
[Scholarly Communication]
[MLIS]
LIBRARIAN
STEROTYPE
We Already Do!
[Amanda]
Just as writers read to
sculpt their
skill, visualizers
look…Look around
you.
Jessica Hagy
You are looking at
opportunity.
Thank You
Contact us!
wirzj@ohsu.edu
amanda.whitmire@oregonstate.
edu
Shameless PlugS!
Knowledgeomics:
The Art and Science of Scholarship and
Research
March 15th, 2013 @ OHSU, UW, U Utah
questions?
SCIENCE IS A MOVIN
eScience, Team Science the Data Deluge and More
1 | Research 101
2 | The Cycle
3 | +Library
Science is a moving target
Science is a moving target
Science is a moving target
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Science is a moving target

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This presentation will be structured around the research cycle, beginning with experimental hypothesis, moving to data collection, analysis/writing, publication and finishing with scientific networking and collaboration. As we walk through the cycle, we will introduce and discuss many of the concepts that shape modern research. From big data, small data, curation and ontologies to open laboratory notebooks and team science initiatives, participants will come away with a working knowledge of the key issues surrounding eScience.

Jackie Wirz, PhD, Biomedical Research Specialist & Assistant Professor, Oregon Health & Science University
Amanda Whitmire, PhD, Data Management Specialist & Assistant Professor, Oregon State University

Please note: We used non-standard fonts and several large image files: the result is that this presentation does not look great in Slideshare. If you would like high quality slides, please let us know! Also, the notes are minimal: Jackie will go back and annotate her slides in the future.

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  • AW -
  • AW – We are two Ph.D. trained scientists-turned-librarians who are here to share insight on the research process.As we talk with you today, think about how your skills and interests may overlap with that of non-library researchers, and how you are probably in a great position to provide research support without a huge amount of “up-skilling,” training, or professional development. Purpose of the talk: getting librarians and researchers on the same page. Common skill sets and interests. Image modified from Roche.com
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  • AW - One nugget that we want to impress upon you, and maybe it’s something that you already know or suspect, is that the ideal “research cycle” does NOT match with reality. It’s useful as a framework, but doesn’t convey the reality of science and research as it really happens at universities. In reality, we are doing all of these things all the time… just like in the library.
  • AW – So, here we go. Let’s talk research!
  • AW – the conceptual version of the research cycle, nice and tidy.
  • AW – a common view of how time is more likely spent during the research cycle: mostly thinking, doing research, and getting famous.
  • AW –In fact, professors leading research groups spend an inordinate amount of time trying to keep themselves and their lab employed. Consider this: in 2012, the funding rate at NSF was about 25% (+/- 10%), or about a 1 in 4 chance of your proposal being funded. Many PIs are only supported by their institution for 4 – 6 months. A 9 month position is generous. A 12 month position is almost unheard of. It’s an unwritten rule that PI’s can’t fund themselves any more than 1-2 months on one project. So, if you have to fund yourself for 6 months, you need at least, at LEAST 3 projects funded on a regular basis. At a 25% funding rate, your writing 12 proposals a year, or about one per month. Maintaining funding support is a constant effort for investigators.
  • AW – The reality of life in academia is that you are constantly working in funding. Because you have to have so many projects going to fund yourself, you are also constantly involved in research for one project or another, with bursts of compiling and sharing that usually occur around conference or agency report due dates.
  • AW – perception: science is cutting edge and sexy.Tony Stark Image from http://hellotailor.blogspot.com/2012/05/costumes-and-characters-of-avengers_10.htmlBruce Banner Image from http://comicsbeat.com/everything-you-ever-wanted-to-know-about-the-avengers-movie/
  • AW – reality: it’s a lot of talking shop around the lunch or dinner table, with creativity and inspiration drawn from imbibing alcohol.Avengers eating Shawarma Image from http://imgur.com/bLBBu
  • This is a little bit of a tangent, but as scientists, this is something that Jackie and I have strong feelings about and feel uniquely qualified to discuss. Has anyone here aver been confused by the use of the words eScience or eResearch? Like, what is the difference between the two? Yes. We were too. So, let’s get it cleared up.
  • Basically, it’s data so big that it has to be processed on gridded machines. It’s not a scientific discipline; it’s a methodology. Are academic libraries involved in eScience? Maybe a little bit. True eScience is a very small chunk of a much larger research portfolio at universities.ARL definition of eScience: “E-science is defined broadly to include all of the natural and physical sciences, related applied and technological disciplines, as well as biomedicine and social sciences sharing research approaches with the natural sciences.” Why is it important to understand this? Because you have to be able to communicate clearly with scientists and researchers. Unless they are doing BIG stuff, it’s not eScience and they won’t know WTF you’re talking about. https://mediastream.cern.ch/MediaArchive/Photo/Public/2005/0511013/0511013_02/0511013_02-A4-at-144-dpi.jpg
  • From ESI: “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.”Basically refers to all of modern research, regardless of discipline. A definition so vague that it’s useless at least, and confusing at worst. “eResearch” is a distraction from the important question: how can libraries better integrate with, and better support [scientific] research? What should you be saying? DATA-DRIVEN or DATA-INTENSIVE work really well.
  • AW - Spend a minute talking about data & metadata – they are DIVERSE.
  • AW – Perhaps it’s not surprise that data and metadata are as diverse as the researchers creating them. Even a single dataset can be viewed or used differently by different scientists. http://rachaelherbert.blogspot.com/2010/07/you-say-tomatoe.html
  • AW – data are diverse – no surprise. You don’t have to be familiar with every aspect of the data to help researchers improve their data and information management, tohelp them publish or cite data, to help them find a repository with data that they could use. Don’t be intimidated by data – dive in!
  • AW- Metadata, holy smokes! Metadata is just as crazy as data.Librarians have many types of metadata, which can be as confusing to scientists as data can be to librarians. There is actually a tremendous amount of overlap between the two, but the lack of common understanding is what we believe to be one of the major disconnects between libraries and researchers. At OSU, we have a whole librarian just for this. Pretty awesome.
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  • JWImage from the Society for Neuroscience
  • JWImage from mindfirst.com
  • JWImage from Flikr Creative Commons
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  • JWwww.motivationals.org
  • JWCTSAconnect VIVOhttp://www.cs.vu.nl/~frankh/clouds/Facebook-Network-Feb-2011-zoom.jpg
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  • JWImage modified from http://putdowntheurinalcake.com
  • JWImage from http://www.agilepmsolutions.net/grant-writing-solutions
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  • JWData collected from the eagle-i Network
  • JWImage modified from http://putdowntheurinalcake.com
  • AW – what is the role of libraries in supporting data management? First, librarians have to familiarize themselves with data and research process (which motivates this talk). Many institutions/data librarians have conducted interviews with faculty, and not surprisingly, they discovered a huge diversity of data, as large a diversity of needs, and almost universal inadequacy in researcher data management practices. Role of library: web content, workshops, consultations, formal education (grad level), and maybe, curation of data. Which leads to next slide…
  • AW -"Open-source Project for a Network Data Access Protocol”is a data transport architecture and protocol.Shared: maybe on a web site. Someone might find it.Discoverable: People/Google WILL find it.OPeNDAP: they can find it, and extract only what they want/need.MODIS – orbits the Earth and collects a global snapshot every 1-2 days. Data products are available at multiple stages of processing, from radiances to derived products, at 2 grid scales (4 km and 9 km), and binned time composites ranging from daily, 3 days, 8 days, to monthly, seasonal, annual. Talk about data management! And yet, you can go to NASA’s ocean color page, search for a lat/lon range, a time range, and which products you are interested in, and download only those data. How? OPeNDAP. There is your model for data curation in an eScience age. So, if you’re thinking about a data repository, think about how you can make it work as flexibly and efficiently as possible.
  • AW – one of the biggest challenges that researchers face is organizing their data and tracking changes through processing steps. Solutions are as variable as the researchers themselves.
  • AW – naming conventions go a long way toward organizing data and making it easy to find. Librarians are well-versed in the organization or information, e.g. cataloging. Apply that experience to data organization – no problemo! Think Dewey Decimal Classification or Library of Congress Classification.Hat tip to BrianWestra for this exampleImage from Jorge Cham, www.phdcomics.com
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  • JWImage from circos.ca
  • JWImage from circos.ca
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  • JWModified from the most excellent xkcd.com
  • JWImage from Johan Bollen et. Al. Clickstream Data Yields High-Resolution Maps of Science, PLoS One 2009http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004803
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  • AW
  • AW – So, let’s review.
  • AWImage modified from the most excellent xkcd.com
  • AW – All librarians can be more integrated than we realize, and many of our skills directly translate. Think about the things we’ve talked about today - metadata, locating or depositing data in databases, dissemination of research results, instruction, creating web resources, visualization, impact metrics, ontologies, and others. So, use an awareness of the realities of the research cycle to find ways to GET OUT THERE!
  • AW – find opportunities! They are out there!
  • Pretty Pictures
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  • Transcript of "Science is a moving target"

    1. 1. SCIENCE IS A MOVIN eScience, Team Science the Data Deluge and More
    2. 2. Hello there!
    3. 3. 1 | Research 101 2 | The Cycle 3 | +Library
    4. 4. Jackie…
    5. 5. Amanda…
    6. 6. Research Rocks
    7. 7. 1 | Research 101
    8. 8. The Research Cycle
    9. 9. The Research Cycle
    10. 10. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    11. 11. The Research Cycle: What people think 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune (cure cancer)
    12. 12. The Research Cycle: What Really Happens 1. Brilliant Idea! 2. Build Idea 3. Fund Id 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    13. 13. The Research Cycle: What Really Happens 1. Idea! 2. Build Idea 3.FUND IDEA4.Research 5. Compile 6. Share & Stor 1. Idea #2 2. Try #2 0. Failure!! 1. Idea #896 0. Try Beer 2. Build #896
    14. 14. The Research Cycle: What People Think
    15. 15. The Research Cycle: What Really Happens
    16. 16. escience + eresearch = ewhat?
    17. 17. escience: What Is it?
    18. 18. eresearch: What Is it?
    19. 19. you say tomato…
    20. 20. tomaytoe tomahto Solanum lycopersicum PANTONE 1795 C tdTomato 554ex 581em $64
    21. 21. Data comes in many flavors
    22. 22. MetaData comes in many flavors
    23. 23. 2 | The Cycle
    24. 24. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    25. 25. Where do good ideas come from?
    26. 26. Hypothesis |incremental |data
    27. 27. Literature
    28. 28. conferences
    29. 29. Thinking (really hard)
    30. 30. Group Drinking Thinking
    31. 31. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    32. 32. Existing data | literature | Databases
    33. 33. Existing data | literature | Databases
    34. 34. Colleagues  Team Science
    35. 35. OHSU Schools Resources Shared Research Resources Research Centers Advanced Imaging Research Center Casey Eye Institute Center for Coastal Margin Observation and Prediction Center for Ethics in Health Care Center for Evidence-Based Policy Center for Policy & Research in Emergency Medicine Center for Research on Occupational Environmental Toxicology Child Development and Rehabilitation Center Dotter Interventional Institute Harold Schnitzer Diabetes Health Center Heart Research Center Jungers Center for Neurosciences Research Knight Cancer Institute Layton Aging and Alzheimer's Disease Center Methamphetamine Abuse Research Center OHSU Epilepsy Center One Sky Center Oregon Brain Institute Oregon Center for Aging and Technology Oregon Center for Complementary & Alternative Medicine in Neurological Disorders Oregon Clinical and Translational Research Institute Oregon Evidence Based Practice Institute Oregon Health Policy Institute Oregon Hearing Research Center Oregon National Primate Research Center Oregon Stem Cell Center Oregon Stroke Center Parkinson Center of Oregon Portland Alcohol Research Center Research Center for Gender-Based Medicine Vaccine and Gene Therapy Institute Vollum Institute Advanced Computing Advanced Light Microscopy Affymetrix Microarray Illumina Microarray Bioanalytical/Pharmacokinetics Biostatistics DNA Services Electronics and Instrumentation Design Flow Cytometry Histopathology Proteomics Transgenic Mouse Models School of Medicine Behavioral Neuroscience Biochemistry and Molecular Biology Cell and Developmental Biology Molecular and Medical Genetics Molecular Microbiology and Immunology Physiology and Pharmacology Science and Engineering Anesthesiology and Perioperative Medicine Dermatology Diagnostic Radiology Emergency Medicine Family Medicine Medical Informatics and Clinical Epidemiology Medicine Neurological Surgery Neurology Obstetrics & Gynecology Ophthalmology Orthopaedics & Rehabilitation Otolaryngology & Head & Neck Surgery Pathology Pediatrics Psychiatry Public Health & Preventive Medicine Radiation Medicine Surgery Research Pharmacy Departmental Cores Other Resources Clinical Science Dental Clinical Research Center School of Dentistry Hartford Center for Geriatric Nursing Excellence School of Nursing Basic Science School of Pharmacy Cores OHSU Library Science Education and Outreach Center for Diversity and Multicultural Affairs Medical Photography Educational Communications
    36. 36. OHSU Schools Resources Shared Research Resources Research Centers Advanced Imaging Research Center Casey Eye Institute Center for Coastal Margin Observation and Prediction Center for Ethics in Health Care Center for Evidence-Based Policy Center for Policy & Research in Emergency Medicine Center for Research on Occupational Environmental Toxicology Child Development and Rehabilitation Center Dotter Interventional Institute Harold Schnitzer Diabetes Health Center Heart Research Center Jungers Center for Neurosciences Research Knight Cancer Institute Layton Aging and Alzheimer's Disease Center Methamphetamine Abuse Research Center OHSU Epilepsy Center One Sky Center Oregon Brain Institute Oregon Center for Aging and Technology Oregon Center for Complementary & Alternative Medicine in Neurological Disorders Oregon Clinical and Translational Research Institute Oregon Evidence Based Practice Institute Oregon Health Policy Institute Oregon Hearing Research Center Oregon National Primate Research Center Oregon Stem Cell Center Oregon Stroke Center Parkinson Center of Oregon Portland Alcohol Research Center Research Center for Gender-Based Medicine Vaccine and Gene Therapy Institute Vollum Institute Advanced Computing Advanced Light Microscopy Affymetrix Microarray Illumina Microarray Bioanalytical/Pharmacokinetics Biostatistics DNA Services Electronics and Instrumentation Design Flow Cytometry Histopathology Proteomics Transgenic Mouse Models School of Medicine Behavioral Neuroscience Biochemistry and Molecular Biology Cell and Developmental Biology Molecular and Medical Genetics Molecular Microbiology and Immunology Physiology and Pharmacology Science and Engineering Anesthesiology and Perioperative Medicine Dermatology Diagnostic Radiology Emergency Medicine Family Medicine Medical Informatics and Clinical Epidemiology Medicine Neurological Surgery Neurology Obstetrics & Gynecology Ophthalmology Orthopaedics & Rehabilitation Otolaryngology & Head & Neck Surgery Pathology Pediatrics Psychiatry Public Health & Preventive Medicine Radiation Medicine Surgery Research Pharmacy Departmental Cores Other Resources Clinical Science Dental Clinical Research Center School of Dentistry Hartford Center for Geriatric Nursing Excellence School of Nursing Basic Science School of Pharmacy Cores OHSU Library Science Education and Outreach CeDMA Medical Photography Educational Communications
    37. 37. OHSU Schools + Shared Research Resources Research Centers Advanced Imaging Research Center Casey Eye Institute Center for Coastal Margin Observation and Prediction Center for Ethics in Health Care Center for Evidence-Based Policy Center for Policy & Research in Emergency Medicine Center for Research on Occupational Environmental Toxicology Child Development and Rehabilitation Center Dotter Interventional Institute Harold Schnitzer Diabetes Health Center Heart Research Center Jungers Center for Neurosciences Research Knight Cancer Institute Layton Aging and Alzheimer's Disease Center Methamphetamine Abuse Research Center OHSU Epilepsy Center One Sky Center Oregon Brain Institute Oregon Center for Aging and Technology Oregon Center for Complementary & Alternative Medicine in Neurological Disorders Oregon Clinical and Translational Research Institute Oregon Evidence Based Practice Institute Oregon Health Policy Institute Oregon Hearing Research Center Oregon National Primate Research Center Oregon Stem Cell Center Oregon Stroke Center Parkinson Center of Oregon Portland Alcohol Research Center Research Center for Gender-Based Medicine Vaccine and Gene Therapy Institute Vollum Institute Advanced Computing Advanced Light Microscopy Affymetrix Microarray Illumina Microarray Bioanalytical/Pharmacokinetics Biostatistics DNA Services Electronics and Instrumentation Design Flow Cytometry Histopathology Proteomics Transgenic Mouse Models School of Medicine Behavioral Neuroscience Biochemistry and Molecular Biology Cell and Developmental Biology Molecular and Medical Genetics Molecular Microbiology and Immunology Physiology and Pharmacology Science and Engineering Anesthesiology and Perioperative Medicine Dermatology Diagnostic Radiology Emergency Medicine Family Medicine Medical Informatics and Clinical Epidemiology Medicine Neurological Surgery Neurology Obstetrics & Gynecology Ophthalmology Orthopaedics & Rehabilitation Otolaryngology & Head & Neck Surgery Pathology Pediatrics Psychiatry Public Health & Preventive Medicine Radiation Medicine Surgery Research Pharmacy Departmental Cores Other Resources Clinical Science Dental Clinical Research Center School of Dentistry Hartford Center for Geriatric Nursing Excellence School of Nursing Basic Science School of Pharmacy Cores OHSU Library Science Education and Outreach CeDMA Medical Photography Educational Communications
    38. 38. OHSU Schools + Shared Research Resources Research Centers School of Medicine Other Resources Clinical Science School of Dentistry School of Nursing Basic Science School of Pharmacy Cores OHSU Library
    39. 39. Colleagues  Team Science
    40. 40. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    41. 41. Money, money, money
    42. 42. Where Money Trees Grow
    43. 43. How We can Help….
    44. 44. How We can Help….
    45. 45. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    46. 46. Lab Notebooks 0 100 200 300 400 500 600 700 800 900 1000 Number of labs with inventory Total number of labs
    47. 47. Lab Notebooks: Next Generation
    48. 48. Data management 1. Online resourc 2. workshops 3. consultations 4. coursework 5. Collaboration 6. Data curation
    49. 49. Shared vs discoverable vs OPeNDAP
    50. 50. Data Tracking | version control
    51. 51. Naming conventions Project_instrument_location_YYYYMMDDhhm mss_extra.ext Index/grant conditions Leading zero! s/n, variable Retain order
    52. 52. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    53. 53. Data does not speak for itself…
    54. 54. Scientists speak for their data
    55. 55. Casual |conference |paper |funding
    56. 56. Casual |conference |paper |funding VISUALIZATION
    57. 57. Casual |conference |paper |funding Posters / Talks
    58. 58. Casual |conference |paper |funding Papers
    59. 59. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    60. 60. LIBRARY
    61. 61. Metrics and altmetrics
    62. 62. Torture numbers, and they'll confess to anything. ~Gregg Easterbrook
    63. 63. Statistics can be made to prove anything - even the truth. ~Author Unknown
    64. 64. Curation & Ontologies
    65. 65. The Research Cycle 1. Brilliant Idea! 2. Build Idea 3. Fund Idea 4. Research 5. Compile 6. Share & Store 7. Fame, Fortune
    66. 66. Yeah, right.
    67. 67. 3 | +Libraries
    68. 68. Hello there! how can we best Integrate With the Research Cycle?
    69. 69. LIBRARIAN STEROTYPE Don’t think like this…
    70. 70. [Jackie][Geeks] [ONTOLOGY] [DATA Curation] [Scholarly Communication] [MLIS] LIBRARIAN STEROTYPE We Already Do! [Amanda]
    71. 71. Just as writers read to sculpt their skill, visualizers look…Look around you. Jessica Hagy You are looking at opportunity.
    72. 72. Thank You
    73. 73. Contact us! wirzj@ohsu.edu amanda.whitmire@oregonstate. edu
    74. 74. Shameless PlugS! Knowledgeomics: The Art and Science of Scholarship and Research March 15th, 2013 @ OHSU, UW, U Utah
    75. 75. questions?
    76. 76. SCIENCE IS A MOVIN eScience, Team Science the Data Deluge and More
    77. 77. 1 | Research 101 2 | The Cycle 3 | +Library
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