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The NIDDK Information Network - A Community Discovery Portal for Researchers:
Finding Data, Materials, and Tools Relevant to Your Research
Ko-Wei Lin, James Go, Yueling Li, Anita Bandrowski, Jeffrey S. Grethe, Maryann E. Martone
University of California San Diego, Center for Research in Biological Systems, School of Medicine, La Jolla, CA, USA
Support Reproducible Research
v For detailed information, please check our website
(https://dknet.org) or our article in PLoS ONE (DOI:
10.1371/journal.pone.0136206).
Abstract
Get Involved in dkNETCommunity
1. Users cansearchNIDDKrelatedresourcesusing dkNET Portal.
2. Stay upto date with notification alerts (New!)
a. Researchers: Find out when new relevant data are added.
b. Resource Providers: Find out when people are using your
resource.
Use Cases:
1. What clinical trial dataset s of polycystic kidney disease are
available?
2. Find mouse models of diet-­‐inducedobesity.
3. Look forfunding opportunities for type 1 diabetes.
4. Are there validatedant ibodie sagainst TR(Thyroidhormone
receptor) alpha isoform?
5. Are there chemical reagents for imaging the digest ive
system?
Connect to the Broader
Biomedical Community
1. dkNET is built on a collaborative community data platform
(SciCrunch.org). Under More Re sources, users can search
hundreds of m illionsof items from more than 200 addit ional
biomedical databases.
The	
  NIDDK	
  Information	
  
Network	
  (dkNET)	
  portal	
  is	
  
funded	
  in	
  part	
  by	
  the	
  NIDDK	
  
under	
  grant	
  U24DK097771
Find What You Need
for Your Research
• Open	
  an	
   account	
   -­‐ join	
   the	
  community
• Find	
   research	
  resources	
  using	
   dkNET
• Subscribe	
   to	
  notification	
   alerts
• Follow	
   us	
   on	
  Twitter	
  @dkNET_Info
• Community	
   calendar	
   and	
   blog
• Sign	
   up	
  for	
  our	
  e-­‐mail	
   list	
  
• Contact	
   us	
  at	
   info@dknet.org
• Make	
   your	
  resource	
  available	
   through	
  
dkNET:	
   we	
  help	
  scientists	
   find	
  and	
   reuse	
  
your	
   resources	
  and	
  data.
• Let	
  us	
  know	
   what	
   you’re	
   doing:	
   we	
  post	
  
events,	
   funding	
  opportunities,	
   or	
  tutorials	
  
for	
  your	
  center.
• Find	
   out	
  who	
  is	
   using	
   your	
  resources:	
   we	
  
have	
   tools	
  to	
  track	
   mentions	
   in	
  the	
  
literature.	
  
User
Resource	
  
Provider
What Can dkNET Do for You ?
1
Category	
   and	
  
Subcategory
Search	
  Information
Sort	
   or	
   filter	
  
by	
  keywordsFilter	
  
results	
  
using	
  
different	
  
facets	
   in	
  
table	
   view
1. Journal e ditors, publication authors, and re source providers
can find Research Resource Identifiers (RRIDs) via the dkNET
portalfor citing resources (e.g., antibodies, model organisms,
software) inthe literature.
2. Using RRIDspromotes data reuse andreproducibility.
Users	
  can	
  search	
  
resources	
   and	
   find	
  
citation	
   guidelines	
  
for	
   RRIDs	
  by	
   clicking	
  
Cite	
   This
Using	
  RRIDs	
  in	
  published	
  
papers	
   helps	
  standardize	
  
resource	
   identification
1
2
Check	
   community	
   source	
  
list,	
  news	
   and	
  events,	
  
funding	
   opportunities	
  
under	
   ABOUT
Find	
   dkNET community	
  
resources	
   by	
  filtering	
  
different	
   categories	
   and	
  
subcategories
1
1
2 Login	
  to	
   edit	
  
this	
  resource	
   or	
  
subscribe	
   to	
  
new	
   mentions
Users	
  can	
  discover	
   more	
   by	
  searching	
  
under	
   under	
   More	
   Resources
1
SUN-764
TheNIDDK Information Network(dkNET;https://dknet.org) is an open community
resourcefor basic and clinical investigators in metabolic,digestiveand kidneydisease.
dkNET’s portal facilitates access to acollection of diverseresearch resources (i.e.the
multitude of data, software tools, materials, services, projects and organizations
availableto researchers) that advancethemissionoftheNational Instituteof Diabetes
and DigestiveandKidneyDiseases (NIDDK).Mostoftheseresources areaccessiblevia
web-­‐accessibledatabases or web portals,each developed,designed and maintained
bynumerous differentprojects,organizations andindividuals.
While many of the large government funded databases, maintained by agencies
such as NIH’s National Center for Biotechnology Information and the European
Bioinformatics Institute, arewell known to researchers, many more that have been
developed by and for the biomedical research community are unknown or
underutilized. One problem in discoveringthese resources is the nature of dynamic
databases,which areconsidered part of the“hidden” web,that is,content that is not
easilyaccessed bysearch engines.dkNETfunctions as aResourceand DataDiscovery
Index (i.e. a “search enginefor data and resources”), searching across millions of
database records contained in hundreds of biomedical databases and resources
developed and maintainedbyindependentprojects around theworld.dkNETmakes it
easyto find research resources relevantto your work,through aconcept based search
interface across NIDDK communityresources, e.g. Nuclear Receptor SignalingAtlas,
GenitoUrinary Molecular Anatomy Project, Diabetic Complications Consortium, to
name afew,as well as general biomedical resources. Through thenovel data ingest
process used indkNET,additional datasources can easilybeincorporated,allowingit
to scalewith thegrowth of digital dataandtheneeds of thedkNETcommunity.
In addition to search across data sources, dkNET provides the abilityto search
across aResourceRegistry,acurated catalogof thousands of research resources,and
the Literature, a searchable index across literature viaPubMed and full text articles
from theOpen Access literature.Buildingon dkNET’s coreinfrastructure,Wehavealso
worked to implement standards, most recently by brokering deals with major
publishers to improveresearchreproducibilitybyprovidingdatacuration andresearch
resource identification standards (http://scicrunch.org/resources) within their
publication pipelines.
Here,weprovidean overview of thedkNETportal and show how dkNETcan be
used to address avarietyof usecases that involvesearchingfor research resources.
Wewill also provideinformation on how researchers can get involvedwith dkNETand
associated effortssuchas theresearch resourceidentification initiative.
dkNET Challenge
Your Feedback Helps
Try	
  it	
  now!	
  Use	
  dkNET to	
  answer	
  any	
  
one	
  of	
  five	
  questions	
  and	
  give	
  us	
  
feedback!
Q1.	
  Funding	
  Opportunities
Find	
  funding	
  opportunity	
  announcements	
  
related	
  to	
  obesity	
  that	
  expire	
  in	
  2016.
Q2.	
  Research	
  Materials
Can	
  you	
  find	
  validated	
  monoclonal	
  antibodies	
  
against	
  Thyroid	
  Stimulating	
  Hormone	
  Receptor	
  
(TSHR)	
  or	
  thyrotropin receptor?
Q3.	
  Clinical	
  Trials
How	
  many	
  clinical	
  trial	
  datasets	
  related	
  to	
  type	
  1	
  
diabetes	
  are	
  available?
Q4.	
  Model	
  Organisms
Can	
  you	
  find	
  animal	
  models	
  of	
  polycystic	
  kidney	
  
disease?
Q5.	
  Research	
  Resource	
  Identifier	
  (RRIDs)
You	
  are	
  required	
  to	
  use	
  RRIDs	
  when	
  publishing	
  a	
  
paper.	
  Can	
  you	
  find	
  the	
  RRID	
  (Antibody	
  ID)	
  for	
  a	
  
mouse	
  anti-­‐human	
  Glucagon-­‐like	
  peptide	
  1	
  
receptor	
  (GLP1R)	
  antibody?
Your	
  opinions	
  or	
  
suggestions	
  will	
  play	
  an	
  
important	
  role	
  in	
  helping	
  
us	
  to	
  build	
  better	
  tools	
  to	
  
serve	
  the	
  community.
Survey	
   link:	
  https://www.surveymonkey.com/r/dknet
Keep You Up to Date with
the NIDDK Community

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dkNET Poster ENDO 2016

  • 1. The NIDDK Information Network - A Community Discovery Portal for Researchers: Finding Data, Materials, and Tools Relevant to Your Research Ko-Wei Lin, James Go, Yueling Li, Anita Bandrowski, Jeffrey S. Grethe, Maryann E. Martone University of California San Diego, Center for Research in Biological Systems, School of Medicine, La Jolla, CA, USA Support Reproducible Research v For detailed information, please check our website (https://dknet.org) or our article in PLoS ONE (DOI: 10.1371/journal.pone.0136206). Abstract Get Involved in dkNETCommunity 1. Users cansearchNIDDKrelatedresourcesusing dkNET Portal. 2. Stay upto date with notification alerts (New!) a. Researchers: Find out when new relevant data are added. b. Resource Providers: Find out when people are using your resource. Use Cases: 1. What clinical trial dataset s of polycystic kidney disease are available? 2. Find mouse models of diet-­‐inducedobesity. 3. Look forfunding opportunities for type 1 diabetes. 4. Are there validatedant ibodie sagainst TR(Thyroidhormone receptor) alpha isoform? 5. Are there chemical reagents for imaging the digest ive system? Connect to the Broader Biomedical Community 1. dkNET is built on a collaborative community data platform (SciCrunch.org). Under More Re sources, users can search hundreds of m illionsof items from more than 200 addit ional biomedical databases. The  NIDDK  Information   Network  (dkNET)  portal  is   funded  in  part  by  the  NIDDK   under  grant  U24DK097771 Find What You Need for Your Research • Open  an   account   -­‐ join   the  community • Find   research  resources  using   dkNET • Subscribe   to  notification   alerts • Follow   us   on  Twitter  @dkNET_Info • Community   calendar   and   blog • Sign   up  for  our  e-­‐mail   list   • Contact   us  at   info@dknet.org • Make   your  resource  available   through   dkNET:   we  help  scientists   find  and   reuse   your   resources  and  data. • Let  us  know   what   you’re   doing:   we  post   events,   funding  opportunities,   or  tutorials   for  your  center. • Find   out  who  is   using   your  resources:   we   have   tools  to  track   mentions   in  the   literature.   User Resource   Provider What Can dkNET Do for You ? 1 Category   and   Subcategory Search  Information Sort   or   filter   by  keywordsFilter   results   using   different   facets   in   table   view 1. Journal e ditors, publication authors, and re source providers can find Research Resource Identifiers (RRIDs) via the dkNET portalfor citing resources (e.g., antibodies, model organisms, software) inthe literature. 2. Using RRIDspromotes data reuse andreproducibility. Users  can  search   resources   and   find   citation   guidelines   for   RRIDs  by   clicking   Cite   This Using  RRIDs  in  published   papers   helps  standardize   resource   identification 1 2 Check   community   source   list,  news   and  events,   funding   opportunities   under   ABOUT Find   dkNET community   resources   by  filtering   different   categories   and   subcategories 1 1 2 Login  to   edit   this  resource   or   subscribe   to   new   mentions Users  can  discover   more   by  searching   under   under   More   Resources 1 SUN-764 TheNIDDK Information Network(dkNET;https://dknet.org) is an open community resourcefor basic and clinical investigators in metabolic,digestiveand kidneydisease. dkNET’s portal facilitates access to acollection of diverseresearch resources (i.e.the multitude of data, software tools, materials, services, projects and organizations availableto researchers) that advancethemissionoftheNational Instituteof Diabetes and DigestiveandKidneyDiseases (NIDDK).Mostoftheseresources areaccessiblevia web-­‐accessibledatabases or web portals,each developed,designed and maintained bynumerous differentprojects,organizations andindividuals. While many of the large government funded databases, maintained by agencies such as NIH’s National Center for Biotechnology Information and the European Bioinformatics Institute, arewell known to researchers, many more that have been developed by and for the biomedical research community are unknown or underutilized. One problem in discoveringthese resources is the nature of dynamic databases,which areconsidered part of the“hidden” web,that is,content that is not easilyaccessed bysearch engines.dkNETfunctions as aResourceand DataDiscovery Index (i.e. a “search enginefor data and resources”), searching across millions of database records contained in hundreds of biomedical databases and resources developed and maintainedbyindependentprojects around theworld.dkNETmakes it easyto find research resources relevantto your work,through aconcept based search interface across NIDDK communityresources, e.g. Nuclear Receptor SignalingAtlas, GenitoUrinary Molecular Anatomy Project, Diabetic Complications Consortium, to name afew,as well as general biomedical resources. Through thenovel data ingest process used indkNET,additional datasources can easilybeincorporated,allowingit to scalewith thegrowth of digital dataandtheneeds of thedkNETcommunity. In addition to search across data sources, dkNET provides the abilityto search across aResourceRegistry,acurated catalogof thousands of research resources,and the Literature, a searchable index across literature viaPubMed and full text articles from theOpen Access literature.Buildingon dkNET’s coreinfrastructure,Wehavealso worked to implement standards, most recently by brokering deals with major publishers to improveresearchreproducibilitybyprovidingdatacuration andresearch resource identification standards (http://scicrunch.org/resources) within their publication pipelines. Here,weprovidean overview of thedkNETportal and show how dkNETcan be used to address avarietyof usecases that involvesearchingfor research resources. Wewill also provideinformation on how researchers can get involvedwith dkNETand associated effortssuchas theresearch resourceidentification initiative. dkNET Challenge Your Feedback Helps Try  it  now!  Use  dkNET to  answer  any   one  of  five  questions  and  give  us   feedback! Q1.  Funding  Opportunities Find  funding  opportunity  announcements   related  to  obesity  that  expire  in  2016. Q2.  Research  Materials Can  you  find  validated  monoclonal  antibodies   against  Thyroid  Stimulating  Hormone  Receptor   (TSHR)  or  thyrotropin receptor? Q3.  Clinical  Trials How  many  clinical  trial  datasets  related  to  type  1   diabetes  are  available? Q4.  Model  Organisms Can  you  find  animal  models  of  polycystic  kidney   disease? Q5.  Research  Resource  Identifier  (RRIDs) You  are  required  to  use  RRIDs  when  publishing  a   paper.  Can  you  find  the  RRID  (Antibody  ID)  for  a   mouse  anti-­‐human  Glucagon-­‐like  peptide  1   receptor  (GLP1R)  antibody? Your  opinions  or   suggestions  will  play  an   important  role  in  helping   us  to  build  better  tools  to   serve  the  community. Survey   link:  https://www.surveymonkey.com/r/dknet Keep You Up to Date with the NIDDK Community