This month's podcast includes highlights from Nathan's trip to the Computers in Libraries conference in Washington D.C. Favorite sessions included a Library of Congress digital preservation project, several takes on local technology interest groups, user-oriented design, and social media strategies. Non-conference news gets a few minutes too, just to be fair.
This month's podcast includes highlights from Nathan's trip to the Computers in Libraries conference in Washington D.C. Favorite sessions included a Library of Congress digital preservation project, several takes on local technology interest groups, user-oriented design, and social media strategies. Non-conference news gets a few minutes too, just to be fair.
In this month's news, I talk about Google's new tablet, ereaders that watch you, an introduction to maker spaces, and the latest on DRM and ebooks. Tune in!
Using Web 2 0 Tools To "Enliven" Projects Nov 20Anna Koval
anna koval (me) and marie slim presented this at the 2009 california school library association conference. =)
for a hyperlinked, clickable version, please go to: http://bit.ly/5MSlsv
This summarizes my concept of a transformation in which data is only entered once (by government, businesses or the public), automatically tagged with metadata, and then flows, preferably on a real-time basis, to anyone who needs it (limited only by their roles), plus tools to use and interpret the data. The results will be new goods & services, transparency, and economical operations!
A presentation about the fact that Learning and Development is broken. How we are all navel gazing, focused too much on benchmarking and best practice and not aware of the Cynefin framework. The solution is to go to the edge. There are three examples of "edges" here: Automattic as an example of distributed virtual teams really working, experimental academics finding out how to scale personalised education in Massive Open Online Courses and Mozilla coming up with Open Badges as an alternative to competency management. The story closes with the lean startup methodology as a way to set up your own experimentation.
Transcript of Webinar: Data management plans (DMPs) - audioARDC
Video and slides available via: http://www.ands.org.au/news-and-events/presentations/2017
Have you implemented a Data Mangement Plan (DMP) tool at your institution or are you currently involved in discussions to implement one? Woudl you like to connect with others who are involved in implementing DMPs? Then this webinar is for you!
This webinar brings together those involved in planning or implementing DMP to exchange information and explore ideas around DMP.
Microsoft Data Culture Series - Keynote - 27th November 2014Jonathan Woodward
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Drive a Data Culture within your organisation
Keynote include Dave Coplin and Ric Howe
"Big Data" is term heard more and more in industry – but what does it really mean? There is a vagueness to the term reminiscent of that experienced in the early days of cloud computing. This has led to a number of implications for various industries and enterprises. These range from identifying the actual skills needed to recruit talent to articulating the requirements of a "big data" project. Secondary implications include difficulties in finding solutions that are appropriate to the problems at hand – versus solutions looking for problems. This presentation will take a look at Big Data and offer the audience with some considerations they may use immediately to assess the use of analytics in solving their problems.
The talk begins with an idea of how big "Big Data" can be. This leads to an appreciation of how important "Management Questions" are to assessing analytic needs. The fields of data and analysis have become extremely important and impact nearly all facets of life and business. During the talk we will look at the two pillars of Big Data – Data Warehousing and Predictive Analytics. Then we will explore the open source tools and datasets available to NATO action officers to work in this domain. Use cases relevant to NATO will be explored with the purpose of show where analytics lies hidden within many of the day-to-day problems of enterprises. The presentation will close with a look at the future. Advances in the area of semantic technologies continue. The much acclaimed consultants at Gartner listed Big Data and Semantic Technologies as the first- and third-ranked top technology trends to modernize information management in the coming decade. They note there is an incredible value "locked inside all this ungoverned and underused information." HQ SACT can leverage this powerful analytic approach to capture requirement trends when establishing acquisition strategies, monitor Priority Shortfall Areas, prepare solicitations, and retrieve meaningful data from archives.
In this month's news, I talk about Google's new tablet, ereaders that watch you, an introduction to maker spaces, and the latest on DRM and ebooks. Tune in!
Using Web 2 0 Tools To "Enliven" Projects Nov 20Anna Koval
anna koval (me) and marie slim presented this at the 2009 california school library association conference. =)
for a hyperlinked, clickable version, please go to: http://bit.ly/5MSlsv
This summarizes my concept of a transformation in which data is only entered once (by government, businesses or the public), automatically tagged with metadata, and then flows, preferably on a real-time basis, to anyone who needs it (limited only by their roles), plus tools to use and interpret the data. The results will be new goods & services, transparency, and economical operations!
A presentation about the fact that Learning and Development is broken. How we are all navel gazing, focused too much on benchmarking and best practice and not aware of the Cynefin framework. The solution is to go to the edge. There are three examples of "edges" here: Automattic as an example of distributed virtual teams really working, experimental academics finding out how to scale personalised education in Massive Open Online Courses and Mozilla coming up with Open Badges as an alternative to competency management. The story closes with the lean startup methodology as a way to set up your own experimentation.
Transcript of Webinar: Data management plans (DMPs) - audioARDC
Video and slides available via: http://www.ands.org.au/news-and-events/presentations/2017
Have you implemented a Data Mangement Plan (DMP) tool at your institution or are you currently involved in discussions to implement one? Woudl you like to connect with others who are involved in implementing DMPs? Then this webinar is for you!
This webinar brings together those involved in planning or implementing DMP to exchange information and explore ideas around DMP.
Microsoft Data Culture Series - Keynote - 27th November 2014Jonathan Woodward
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Drive a Data Culture within your organisation
Keynote include Dave Coplin and Ric Howe
"Big Data" is term heard more and more in industry – but what does it really mean? There is a vagueness to the term reminiscent of that experienced in the early days of cloud computing. This has led to a number of implications for various industries and enterprises. These range from identifying the actual skills needed to recruit talent to articulating the requirements of a "big data" project. Secondary implications include difficulties in finding solutions that are appropriate to the problems at hand – versus solutions looking for problems. This presentation will take a look at Big Data and offer the audience with some considerations they may use immediately to assess the use of analytics in solving their problems.
The talk begins with an idea of how big "Big Data" can be. This leads to an appreciation of how important "Management Questions" are to assessing analytic needs. The fields of data and analysis have become extremely important and impact nearly all facets of life and business. During the talk we will look at the two pillars of Big Data – Data Warehousing and Predictive Analytics. Then we will explore the open source tools and datasets available to NATO action officers to work in this domain. Use cases relevant to NATO will be explored with the purpose of show where analytics lies hidden within many of the day-to-day problems of enterprises. The presentation will close with a look at the future. Advances in the area of semantic technologies continue. The much acclaimed consultants at Gartner listed Big Data and Semantic Technologies as the first- and third-ranked top technology trends to modernize information management in the coming decade. They note there is an incredible value "locked inside all this ungoverned and underused information." HQ SACT can leverage this powerful analytic approach to capture requirement trends when establishing acquisition strategies, monitor Priority Shortfall Areas, prepare solicitations, and retrieve meaningful data from archives.
Introduction to Data Science Talk Given to Girl Develop It! Central VA members
Note: some slides had animations in Excel, so unfortunately, the images overlap on the SlideShare version.
A lot of talk about the future of the internet sounds almost hippie-spiritual or faux-philosophical. The Internet is not the same as the world-wide-web. But the Internet-of-Things and the Semantic Web - all parts of Web 3.0, are beginning to be very important to our learning environments. Here is a summary of key features, ranging from access, creativity, and information architecture.
Collective Intelligence
- Introduction
- Collective Intelligence
- Creative Research Practices
- Why you should take the course
- Assignment 1
- Feedback
Web3.0- How brands can take advantage of the semantic shift - BrandsentialJeffrey V
Web 3.0 will bring a fundamental shift in the way we interact with data online. Along the way, there will be opportunities to create the next Google or just understand how brand engagement will evolve……
Search Interfaces on the Web: Querying and Characterizing, PhD dissertationDenis Shestakov
Full-text of my PhD dissertation titled "Search Interfaces on the Web: Querying and Characterizing" defended in ICT-Building, Turku, Finland on 12.06.2008
Thesis contributions:
* New methods for deep Web characterization
* Estimating the scale of a national segment of the Web
* Building a publicly available dataset describing >200 web databases on the Russian Web
* Designing and implementing the I-Crawler, a system for automatic finding and classifying search interfaces
* Technique for recognizing and analyzing JavaScript-rich and non-HTML searchable forms
* Introducing a data model for representing search interfaces and result pages
* New user-friendly and expressive form query language for querying search interfaces and extracting data from result pages
* Designing and implementing a prototype system for querying web databases
* Bibliography with over 110 references to publications in the area of deep Web
Lecture for LIS 644 "Digital Trends, Tools, and Debates." Not my strong point, so I won't swear there are no errors. If you reuse, please respect the CC-BY-NC-SA license on the photo.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
1. ipit y
n d
Manufacturing
r e
Se Research Data Services
at UW-Madison
Dorothea Salo
Coalition for Networked Information Spring Meeting 2011
Hello. My name is Dorothea Salo, and Iʼm the Research Services Librarian at the
University of Wisconsin at Madison. (CLICK) Iʼm here to tell you the story of how we
built the data-planning consulting service that weʼre calling Research Data Services.
The process honestly amounts to what Iʼm going to call “manufacturing serendipity.”
2. Rich Choice (http://www.flickr.com/photos/erix/323328576/) / Erich Ferdinand / CC BY 2.0
Unlike Scott, I'll be talking more about the making of sausage than the sausage itself.
Thatʼs deliberate, partly because we donʼt have anything like Purdueʼs infrastructure
or plans to show off, and partly because my sense is that a lot of libraries are a lot
closer to where WE are than to where Purdue is. Iʼm hoping that our story will be
helpful to those of you whose organizations are on similar paths.
3. Untitled (http://www.flickr.com/photos/meesterdickey/2067185437/) / Ryan Dickey / CC BY 2.0
When the NSF Data Management Plan requirement came down, Research Data
Services looked like X-marks-the-spot -- the more so because a lot of high-level
campus administrators and major campus players in the research-computing space
hadnʼt even heard of us prior to that. This led to a few amusing comedies of errors,
which isnʼt all that surprising coming from a gigantic decentralized research university,
but the point remains: we were ready, and our readiness surprised a lot of people.
Was it really just serendipity? Did we just happen to be in the right place at the right
time? Either way, what does it mean for you? Thatʼs for you to decide, but Iʼll try to
pull out some morals-of-the-story at the end.
4. 2007
Scholarly
Assets
Management
Initial
Exploratory
Group
When I started my new institutional-repository-manager job in the UW-Madison
Libraries in two-thousand-seven, the very first committee I was put onto was
something called the Scholarly Asset Management Initial Exploratory Group. SAMIEG
was sponsored, funded, and mostly crewed by our central IT unit, the Division of
Information Technology,
5. Focus Group Discussion (http://www.flickr.com/photos/whyohgee/3461260851/) / whyohgee singapore 201 / CC BY 2.0
and it took the form of a number of focus groups with faculty, where we asked them
about their data needs.
6. As is the way of such groups, the results were written up into a report
8. Lion (http://www.flickr.com/photos/thebu!afamily/903508826/) / Bu!a / CC BY 2.0
though I know people OUTSIDE our institution sat up and took notice, because Iʼve
seen it cited a fair few places. I hope it was helpful! But so much for that report.
9. 2008
Now, it feels both amazing and a little strange to be speaking alongside Scott,
because the next thing that happened to us in this space was the CIC “Librarians and
E-Science” conference in two-thousand-eight, which was held at Purdue and which
Scott organized and spoke at. The libraries sent half a dozen people to this, IT people
and librarians, myself included, and it was a real turning point for us; several of us
came back thinking “yes, the writing is on the wall; this is going to be A Thing and we
will have to do something about it.”
10. Workers in warehouse, 1915 (http://www.flickr.com/photos/seattlemunicipalarchives/4167079120/) / Seattle Municipal Archives / CC BY 2.0
Notably -- and hereʼs where we differ strongly from what Purdue has done -- the
people who came back thinking this were rank-and-file employees and line managers.
Not campus IT administrators, not library administrators, not campus administrators,
just ordinary working schmos like me. There was NO WAY we were going to
reorganize the whole library org chart the way Purdue did to create a separate arm
and a separate dean for research services! Not gonna happen! And there are a lot of
research and research-computing stakeholders on our campus, so there was NO
WAY that everybody was just going to fall in line behind the library. So if anything
WAS going to happen
11. Bottoms Up! - Duck; San Anton Gardens, Malta (http://www.flickr.com/photos/foxypar4/3123113762/) / John Haslam / CC BY 2.0
it would have to happen from the bottom up. And in at least two different campus
organizational silos: the library, and campus IT. Kind of a tall order.
12. 2007
–200
8
student teacher (http://www.flickr.com/photos/goldendragon613/250121512/) / Rex Pe / CC BY 2.0
But while all this was happening, so was another thing: namely, I was starting to teach
technology in libraries for the School of Library and Information Studies at UW-
Madison. And because I didnʼt embarrass myself in the classroom, SLIS and I started
talking about the possibility of perhaps teaching other courses as well.
And you can guess where this is going, so Iʼll just spill it: this spring Iʼm teaching a
data-curation course online thatʼs heavy on the service learning. Iʼve got the syllabus
with me and am happy to share it afterwards. The key point for our purposes is that
this course has a strong service-learning component, so itʼs become a way to
sneakily help people on campus manage their data without having to worry so much
about approval from the Powers That Be. Serendipity-manufacturing in action!
13. S on of 2009
Scholarly
Assets
Management
Initial
Exploratory
Group
So, in two-thousand-nine, some of the same people who had been on SAMIEG
started what I mischievously call (CLICK) Son of SAMIEG
14. 2009
Research
Data
Management
Study
Group
but which was properly called the Research Data Management Study Group. Instead
of focus groups, this was a set of more in-depth interviews with faculty.
15. As is the way of such groups, the results were written up into a report
18. I don't even know (http://www.flickr.com/photos/orijinal/3539418133/) / Jaysin / CC BY 2.0
Seeming kinda pointless? Well, maybe. But in a crowded environment where
everybody has too much to do, this is sometimes the only way that the rank-and-file
can light a fire: by writing reports that nobody reads so that they serve as
administrative cover when real opportunities come along.
19. Diek Scram (http://www.flickr.com/photos/mwlguide/795257957/) / Joel Dinda / CC BY 2.0
Because a thing that happens in large organizations when something difficult and
messy and kinda futuristic comes up that nobody wants to deal with, is they tell you,
“SCRAM! Go away and do some market research or user research or needs
assessment or something and write us a report.” Which, look, WE ALL KNOW
nobodyʼs gonna read that report, much less act on it; itʼs pure organizational theatre.
But in our case, weʼd done all the report-writing already, so nobody could reasonably
tell us to go do it again. So writing the reports nobody read freed us up to make
something happen when opportunity arose.
20. 2009
And arise it did. In late two-thousand-nine, the new campus CIO started a
campuswide IT strategic planning process. And it was designed to be very bottom-up;
a lot of big open meetings were held where people could say what they thought was
important for campus to do. And this is where we, this little group of rank-and-file
librarians and IT pros who thought research data management was important, really
went to town on manufacturing some serendipity. We went to those meetings, we said
our piece, we pointed to the reports from SAMIEG and Son of SAMIEG as evidence
that this was important...
21. The RSS Bus! (http://www.flickr.com/photos/pheezy/465254580/) / evan p. cordes / CC BY 2.0
... and what do you know, we got ourselves a strategic-planning charter!
22. Airplane Cockpit (http://www.flickr.com/photos/adpowers/21597414/) / Andrew Hitchcock / CC BY 2.0
2010
So in twenty-ten our charter group did some pilot projects, which given that research
data management is a whole-lifecycle thing, thereʼs not much you can really have to
show in less than a year, but we did our best.
23. And we started putting together a website, and a business plan, and all that other
good stuff.
24. 40+296 Hello? (http://www.flickr.com/photos/barkbud/4914492619/) / bark / CC BY 2.0
But from where I was sitting, the interesting thing to watch was the behavior of the
charter sponsors, who were administrators from all over campus. Who just didnʼt
really quite get what we were doing, or what problem we were trying to address, or
why it was important to address it... but to their credit, they werenʼt quite ready to stop
us doing it. And part of this is that the research-data lifecycle and why itʼs going to
have to change and how huge an impact that will have on the research enterprise and
how much and what KIND of help researchers will need to do this right, all this is
REALLY HARD TO EXPLAIN to people, but if you want to blame us for not explaining
it well, Iʼm completely willing to agree with you.
25. Shhh!... (http://www.flickr.com/photos/conveniencestoregourmet/4795033391/) / Robert D. Brooks / CC BY 2.0
They did shush us a bit, though. Well, kind of a lot, really. They didnʼt want us making
waves. Donʼt go talk to the research-computing people; theyʼre really busy. Donʼt go
talk to deans; youʼre just a pilot project. Stuff like that. So they were nervous about us.
Thatʼs what happens when these processes are bottom-up instead of top-down. The
top worries, doesn't want to commit itself -- and doesn't want YOU to turn into
anything they might be forced to commit to.
26. Mantegna, “Trionfo della virtù”
Work found at http://commons.wikimedia.org/wiki/
File:Mantegna,_trionfo_della_virt%C3%B9,_dettaglio_02.jpg / CC BY-SA
And so when the NSF lowered the boom and we leapt on the opportunity with a
website and a consulting service, it really did feel to a lot of campus that we sprang
out of nowhere, like Minerva from the head of Jove!
27. ipit y
n d
Manufacturing
r e
Se
When it was really the result of four long years of patient, opportunistic serendipity-
manufacturing that we hadnʼt been ALLOWED to tell anyone about.
28. no
Storage (http://www.flickr.com/photos/38389073@N04/4806918872/) / Jamie / CC BY 2.0
here
What is it that Research Data Services does? you may well be asking. Well, notably,
we donʼt do storage or archival. We donʼt TOUCH storage, except to suggest existing
storage services to people and provide requirements for future storage services. We
are PURELY an information, consultation, and training service. We do handouts like
the one youʼve got in your hands. We do a lot of outreach and education. We donʼt do
storage.
30. I Stand Alone (http://www.flickr.com/photos/sudhamshu/3197316514/) / Sudhamshu Hebbar / CC BY 2.0
Weʼve survived so far despite coming out of left field because as best anybody can
tell, weʼre not encroaching on turf anybody really wants, and weʼre willing to work with
any or all campus entities in the storage space.
31. Babies (http://www.flickr.com/photos/werwin15/3554539197/) / Werwin15 / CC BY 2.0
And where are we now, after all of that? Well, honestly, Research Data Services is a
nest of baby birds. Weʼre still officially just a pilot project, we have no administrative
home, the campus-IT half of the sketch is only funded through the end of the fiscal
year, the CIO who started the strategic-planning process that led to our creation has
LEFT... so weʼre hungry and we could die of neglect pretty easily. Or some big
campus power or initiative could grab us out of the nest, rip us into bloody bits, and
eat us. So weʼre trying to learn to fly. What else can we do?
Sorry, you were expecting howling triumphalism? Nah, not from me you wonʼt get
that. I donʼt know how this is going to turn out. “Badly” is a distinct possibility.
33. Tunnels of Time (http://www.flickr.com/photos/fdecomite/406635986/) / fdecomite / CC BY 2.0
First, it takes time. Consciously and intentionally managing research data is a HUGE
shift in mindset -- for IT, for libraries, for researchers, for grant funders. Now, those of
you who waited until now to get going have a huge advantage we didnʼt, namely, the
NSF insisting on data-management plans; but even so...
34. Mantegna, “Trionfo della virtù”
Work found at http://commons.wikimedia.org/wiki/
File:Mantegna,_trionfo_della_virt%C3%B9,_dettaglio_02.jpg / CC BY-SA
... donʼt expect to gin up a working, successful service that bursts forth like Minerva
from the head of Jove in a couple of weeks or months. It just does not happen that
way!
35. recycle these cups (http://www.flickr.com/photos/emagic/1785924078/)
Eric / CC BY 2.0
Second, use what youʼve got. Recycle existing resources! Such as, may I say,
underused institutional-repository managers. And here I want to especially point out
how important liaison librarians are to any effort like this. If you ask researchers, they
say that what you need to have to work with their research data is disciplinary
expertise. True or not, thatʼs what they think -- and thereʼs ONLY ONE PLACE on
campus with a broad pool of disciplinary experts covering most or all of campus. That
place is the library. Take that expertise and use it -- along with the relationships built
by the liaisons who have it!
36. Limitations (http://www.flickr.com/photos/kash_if/2539073569/) / Kashif Mardani / CC BY 2.0
But be aware of your limitations. Iʼve been running institutional repositories my entire
career in libraries, and I have to tell you, I cringe a bit when I see librarians touting IR
software platforms as data-curation solutions. Theyʼll work for SOME data in SOME
situations, sure.
37. Catch A Falling Star... (http://www.flickr.com/photos/peasap/655111542/) / Paul Sapiano / CC BY 2.0
But if you think you can just repurpose IR software and youʼve solved the research-
data management problem, Iʼm sorry, you're headed for trouble. As Iʼve said and
written other places, there are severe mismatches between what IR and digital-library
software can DO and what research data actually NEED. Be aware of that, and donʼt
oversell what you have.
38. Fast Twitched (http://www.flickr.com/photos/philon/2498909856/)
Philo Nordlund / CC BY 2.0
Second, you canʼt wait until everybodyʼs ready. Nobodyʼs ready. Nobodyʼs ready
because nobody WANTS to be ready. Researchers donʼt WANT to manage their data
responsibly! If you survey them about their needs, thatʼs mostly what theyʼll tell you!
You may not feel ready to help them! Iʼm telling you to help them anyway. You learn
by doing, in this space. And you canʼt let the perfect be the enemy of the good. You
canʼt fix data management at your institution. You CAN improve it.
39. Came hame háááá! (http://www.flickr.com/photos/grrphoto/246147199/) / Guiri R. Reyes / CC BY 2.0
So jump off the cliff already, and shove your people off it with you! Prefer ACTION to
demanding reports that no oneʼs going to read, and especially prefer action to
analysis paralysis. I honestly donʼt think youʼre going to learn anything from local
focus groups or surveys at this point that other people havenʼt already learned; hate
to say it, but your institution is NOT a special snowflake. So read some of those
studies -- and then ACT. Pilot projects, a data-curation profile program based on
Purdueʼs work, NSF consulting, system building, do something TANGIBLE to address
this constellation of problems, something you can assess after a while and change
direction if you need to.
But do SOMETHING. Seriously, DO something.
40. Babies (http://www.flickr.com/photos/werwin15/3554539197/) / Werwin15 / CC BY 2.0
Finally, figure out how to feed your baby birds. Change management, innovation,
service development, responding to disruption, whatever you want to call it, from my
worms-eye view Iʼm not sure we always do it well in libraries. There are serious
structural barriers in many of our organizations as well as the usual human change
resistance.
It's time for a gut check, librarians. Either you agree with Scott and me that managing
and preserving research data is an important research-library role that's likely to
persist for a good long time, well beyond the minor chore of two-page data
management plans, or you don't. If you don't, fine, outsource to the data-management
templating tool thatʼll be coming out soon. Donʼt get involved otherwise, and tell all
your people not to. If you DO agree with us, though, you'd better not be starving your
baby birds! They have enough survival battles theyʼre fighting -- donʼt make them fight
you too! Yet that's what happens to so many new things in libraries; they get
smothered by bureaucracy or starved by lack of resources, because all the resources
get shoveled toward the status quo. Don't even argue with me about this -- remember,
I've been running institutional repositories!
Speaking for myself, I donʼt need gobs of money or a fancy title or to be high up in the
hierarchy. For the most part, I just need an administrator to champion what Iʼm doing.
Can you do that, for your baby birds, in your library? If you can, please do.
41. Go!
Manufacture
your own
serendipity
And with that, I invite you all to go forth! and manufacture your own serendipity.
42. Thank you!
Copyright 20 1by Dorothea Salo
1
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applicable. Thank you!
Thank you! And I believe thereʼs time for questions.