Re: DataRecord and Dataset Search

On Mon, 1 Oct 2018, 23:26 ljgarcia, <ljgarcia@ebi.ac.uk> wrote:

> Hi Dan,
>
> Thanks for your reply, it does clarify things.
>
> We currently have a Data Record type extending from Dataset as
> properties are similar. Would this be OK? Would you recommend better a
> DataRecord extending directly from Creative Work?
>

Why don't we start at CreativeWork. Many times it will be better to go via
the associated dataset for data-oriented (and other) properties anyway ...



> Regards,
>
> Leyla
>
>
>
> On 2018-10-02 03:41, Dan Brickley wrote:
> > We talked about this last time I was at a Bioschemas meeting
> > (somewhere near Hinxton...).
> >
> > At the time I suggested it could be counterproductive for each and
> > every record in a dataset to become its own dataset, even while we
> > acknowledged that there are cases (I think we talked about protein
> > example?) where the best mapping into the repo/dataset/download
> > structure shared by DCAT and schema.org [18] isn't always obvious.
> >
> > My advise would be to *not* use Dataset on each fine-grained
> > row/record, in the general case.
> >
> > From a Google perspective regarding
> > https://toolbox.google.com/datasetsearch this would create a division
> > between bioschema "datasets" (super fine-grained, and 100000000s of
> > them) versus pretty much every other piece of dataset markup we're
> > currently finding in the public Web. I'd recommend using a DataRecord
> > structure if you've a use for it, and even if we're not currently
> > doing anything with it at Google. The thinking being that the
> > "dataset" level of detail is something like a self-contained bundle of
> > data, rather than the (possibly very numerous, and typically very
> > similar) substructures within the dataset. These distinctions are
> > naturally a bit fluid but perhaps there's something we could refine as
> > guidance here?
> >
> > cheers,
> >
> > Dan
> >
> > On Tue, 25 Sep 2018 at 08:13, Shimoyama, Mary <shimoyama@mcw.edu>
> > wrote:
> >
> >> I guess I don’t understand the resistance to having DataRecord.  I
> >> do think for many users it will be confusing to have everything be a
> >> dataset.
> >>
> >> FROM: Gray, Alasdair J G [mailto:A.J.G.Gray@hw.ac.uk]
> >> SENT: Monday, September 24, 2018 8:44 AM
> >> TO: Shimoyama, Mary <shimoyama@mcw.edu>
> >> CC: Clark, Timothy W. <TWCLARK@mgh.harvard.edu>; Rafael Jimenez
> >> <rafael.jimenez@elixir-europe.org>; Leyla Garcia
> >> <ljgarcia@ebi.ac.uk>; Dan Brickley <danbri@google.com>;
> >> public-bioschemas@w3.org; Natasha Noy <noy@google.com>; Vicki Tardif
> >> Holland <vtardif@google.com>
> >> SUBJECT: Re: DataRecord and Dataset Search
> >>
> >> ATTENTION: This email originated from a sender outside of MCW. Use
> >> caution when clicking on links or opening attachments.
> >>
> >> -------------------------
> >>
> >> It would seem that there is no real argument for having DataRecord
> >> as a separate type from Dataset. All the properties that we need for
> >> a DataRecord are already in the schema.org/Dataset [1] type. In
> >> fact, in the specification we even say that a record is a dataset
> >>
> >>> A Record acts itself as a dataset although it refers to what could
> >>> be seen as the minimum compact, complete and auto-descriptive unit
> >>> in a dataset, i.e., a record. Bioschemas usage In Life Sciences,
> >>> records will represent a BioChemEntity
> >>
> >> Are there any objections to us changing the DataRecord profile to
> >> use the schema.org/Dataset [1] type and removing the suggestion of a
> >> DataRecord type?
> >>
> >> Alasdair
> >>
> >> On 10 Sep 2018, at 16:31, Shimoyama, Mary <shimoyama@mcw.edu> wrote:
> >>
> >>
> >> Absolutely agree with (b) – the elements on a web page change
> >> regularly – for most of the MODs, these can change daily, weekly,
> >> monthly. He is right that the elements displayed on a webpage are
> >> integrated from queries and present views of data from multiple
> >> datasets within the overall structure of the resource. As for (c) on
> >> a gene page there are elements that each have unique identifiers
> >>
> >> FROM: Clark, Timothy W. [mailto:TWCLARK@mgh.harvard.edu]
> >> SENT: Monday, September 10, 2018 10:06 AM
> >> TO: Rafael Jimenez <rafael.jimenez@elixir-europe.org>
> >> CC: Shimoyama, Mary <shimoyama@mcw.edu>; Leyla Garcia
> >> <ljgarcia@ebi.ac.uk>; Gray, Alasdair J G <A.J.G.Gray@hw.ac.uk>; Dan
> >> Brickley <danbri@google.com>; public-bioschemas@w3.org; Natasha Noy
> >> <noy@google.com>; Vicki Tardif Holland <vtardif@google.com>
> >> SUBJECT: Re: DataRecord and Dataset Search
> >>
> >> ATTENTION: This email originated from a sender outside of MCW. Use
> >> caution when clicking on links or opening attachments.
> >>
> >> -------------------------
> >>
> >> (a) Pointing out that since a set may have cardinality = 1, a data
> >> record is certainly a data set.
> >>
> >> (b) I wonder if using the concept “record” to mean the contents
> >> of a web page could be problematic when pages are constructed by
> >> queries and views on underlying data resources and assembled not
> >> based on normalization rules but for best UX purposes and contain a
> >> melange of many elements some of which are repeating.
> >>
> >> (c)  For example, supposing we assign FOO:0010 to identify a web
> >> page containing some information, all of which is not in 1st normal
> >> form, i.e. it contains some unique attributes and some repeating
> >> groups? And those group elements have their own identifiers
> >> assigned, e.g FOO:0001, FOO:0002, etc?  What are we looking at ?
> >> Does FOO:0010 identify a dataset or a data record?
> >>
> >> (d) But if you stick with dataset “all the way down” you may be
> >> better off, FOO:0010, FOO:0001, and FOO:0002 are all datasets.
> >>
> >> Something to consider.
> >>
> >> Tim
> >>
> >> On Sep 10, 2018, at 10:40 AM, Rafael C. Jimenez
> >> <rafael.jimenez@elixir-europe.org> wrote:
> >>
> >> EXTERNAL EMAIL - USE CAUTION
> >>
> >> To me, a data record could belong to one or more datasets. It
> >> depends on the structure and organisation of the data resource. Data
> >> records could be organised in datasets in many different ways. For
> >> instance, by the species they belong to, the disease they have been
> >> classified to (ie. cardiomegaly) or the experiment they were
> >> identified in.
> >>
> >> To give some examples of data records, below some links pointing to
> >> different types of data records:
> >>
> >> - Protein record in UniProt: http://identifiers.org/uniprot:P69905
> >> [2]
> >>
> >> - Protein record in PDB: http://identifiers.org/pdb:4n7n [3]
> >>
> >> - Chemical record in ChEBI: http://identifiers.org/CHEBI:27732 [4]
> >>
> >>
> >> - Gene record in ENSEMBL:
> >> http://identifiers.org/ensembl:ENSG00000244734 [5]
> >>
> >> I like in Bioschmeas we are trying to annotate all our data
> >> resources using few types and relationships: DataCatalog -> DataSet
> >> -> DataRecord[BioChemEntity]. Some of our data resources like EGA or
> >> OmicsDI will have a high number of datasets, but I think the
> >> majority of our resources (UniProt, PDB, ChEBI or ENSEMBL mentioned
> >> above) will have a high number of data records and few datasets.
> >> Sometimes some of our data resources might even have just one
> >> dataset for all their data records.
> >>
> >> The alternative Alasdair is talking about is to use the DataSet type
> >> for the concept of DataRecord. It would be to change to  DataCatalog
> >> -> DataSet -> DataSet[BioChemEntity]. Though for some people it
> >> might not be semantically that correct I think this approach has
> >> some advantages: 1. We do not need to propose a new type DataRecord
> >> type to schema.org [6], 2.- The properties we wanted to use for
> >> DataRecord are already in the DataSet type, 3.- Our data records
> >> will also be displayed in the Google dataset search, 4.- It does not
> >> really change much the way we have been working in Bioschemas.
> >>
> >> Bringing back the question from Alisdair, which I think it is
> >> important. Should we push for a new DataRecord type in Schema.org
> >> [7] or should we re-use the DataSet type instead?
> >>
> >> Regards,
> >>
> >> Rafa
> >>
> >> On Mon, 10 Sep 2018 at 15:19, Shimoyama, Mary <shimoyama@mcw.edu>
> >> wrote:
> >>
> >> Is there some thought to the idea of a data record belonging to
> >> multiple datasets? For example, there is an annotation for the rat
> >> A2m gene indicating it is associated with cardiomegaly. Does this
> >> A2m-cardiomegaly record belong to the dataset of the A2m gene and
> >> all of the data related to A2m, does it belong to the dataset of
> >> Cardiomegaly and all of the genes associated with cardiomegaly, does
> >> it belong to the dataset of  all the annotations and data taken from
> >> PMID:12494268/RGDID:1549856, does it belong to the dataset of all
> >> rat genes and their disease annotations or does it belong to the
> >> dataset of the entire RGD corpus of data?
> >>
> >> -----Original Message-----
> >> From: Clark, Timothy W. [mailto:TWCLARK@mgh.harvard.edu]
> >> Sent: Monday, September 10, 2018 8:04 AM
> >> To: ljgarcia <ljgarcia@ebi.ac.uk>
> >> Cc: Gray, Alasdair J G <A.J.G.Gray@hw.ac.uk>; Dan Brickley
> >> <danbri@google.com>; public-bioschemas@w3.org; Natasha Noy
> >> <noy@google.com>; Vicki Tardif Holland <vtardif@google.com>;
> >> Shimoyama, Mary <shimoyama@mcw.edu>
> >> Subject: Re: DataRecord and Dataset Search
> >>
> >> ATTENTION: This email originated from a sender outside of MCW. Use
> >> caution when clicking on links or opening attachments.
> >> ________________________________
> >>
> >> Just adding in Mary Shimoyama PI of RGB to this discussion.
> >>
> >>> On Sep 10, 2018, at 8:35 AM, ljgarcia <ljgarcia@ebi.ac.uk> wrote:
> >>>
> >>> External Email - Use Caution
> >>> Hi Alasdair,
> >>>
> >>> I sounds to me you have covered it all. Maybe just some more
> >> information about how we link sdo:Dataset, bs:DataRecord and
> >> bs:BioChemEntity. sdo:Dataset sdo:hasPart bs:DataRecord (DataRecord
> >> actually extends from Dataset) and then sdo:DataRecord sdo:isPartOf
> >> sdo:Dataset. A sdo:DataRecord has sdo:maiEntity bs:BioChemEntity and
> >> then a bs:BioChemEntity is sdo:mainEntityOfPage of a sdo:DataRecord.
> >>>
> >>> DataRecord include two additional properties:
> >>> * sdo:additionalProperty because we want everybody to be able to
> >> add
> >>> no-named properties as needed
> >>> * bs:seeAlso so ther can be links to related data records in other
> >> datasets, this one is very important in Life Sciences.
> >>>
> >>> Note: I am using sdo for schema.org [6] and bs for bioschemas,
> >> although bioschemas types along with their properties should go to
> >> schema.org [6] at some point (hopefully soon).
> >>>
> >>> Regards,
> >>>
> >>> On 2018-09-09 19:03, Gray, Alasdair J G wrote:
> >>>> Hi Dan
> >>>> In the life sciences datasets, the individual records tend to get
> >>
> >>>> their own web page, i.e. each concept in the database would have
> >> its
> >>>> own page. The idea for the DataRecord is to be able declare that
> >> the
> >>>> page about a concept is part of a Dataset.
> >>>> I believe the approach is agnostic to the underlying storage,
> >> i.e.
> >>>> the page could be generated from a relational database which
> >> pulls
> >>>> data about the concept from multiple tables, a triplestore, or
> >> some
> >>>> other form of database. It is more about the granularity of this
> >>>> being about a single concept, e.g. row in a relational database
> >> with
> >>>> its foreign keys.
> >>>> Leyla, Rafa, Susanna, what do you think? Have I characterised
> >> this
> >>>> correctly or are there things in Dan’s email that I am missing.
> >>>> Alasdair
> >>>>> On 7 Sep 2018, at 18:12, Dan Brickley <danbri@google.com> wrote:
> >>>>> (+Natasha Noy, +Vicki Tardif Holland) On Fri, 7 Sep 2018 at
> >> 15:54,
> >>>>> Gray, Alasdair J G <A.J.G.Gray@hw.ac.uk> wrote:
> >>>>>> Hi Dan,
> >>>>>> Great to see the announcement this week about the Google
> >> Dataset
> >>>>>> search. Here is a link to a blog post for anyone who has not
> >> seen
> >>>>>> it yet
> >>>>
> >>
> > https://urldefense.proofpoint.com/v2/url?u=https-3A__www.blog.google_
> >> [8]
> >>>>
> >>
> > products_search_making-2Dit-2Deasier-2Ddiscover-2Ddatasets_&d=DwIGaQ&
> >>>>
> >>
> > c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&r=9LvaCUW2sYxo387m5Tsee
> >>>>
> >>
> > hzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQKLroB0DANNTw2d0tisoNx7KJQZ1xegXqyg&
> >>>> s=X7OaasRJiIqJhU4v5NnlNJGHFRGBPnsqrNJMduz-DKQ&e=
> >>>>>> Within Bioschemas, we have been building up a profile usage of
> >>>>>> DataCatalog containing Dataset(s) which themselves contain
> >>>>>> DataRecords. A DataRecord is something that we would be
> >> proposing
> >>>>>> as an addition to schema.org [6] [1]. The idea is that a
> >> DataRecord is
> >>>>>> contained within a Dataset and would specify the types of
> >> entity
> >>>>>> that the record is about, e.g. Protein.
> >>>>>>
> >> https://urldefense.proofpoint.com/v2/url?u=http-3A__bioschemas.org_
> >> [9]
> >>>>>>
> >> types_DataRecord_specification_&d=DwIGaQ&c=aFamLAsxMIDYjNglYHTMV0iq
> >>>>>>
> >> Fn3z4pVFYPQkjgspw4Y&r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&m
> >>>>>>
> >> =9Do_KY8oQKLroB0DANNTw2d0tisoNx7KJQZ1xegXqyg&s=VQXoaBLgxbCy_Qxi4h8R
> >>>>>> bqij_biYI-o3xrRcqvYMSPg&e= We would like to understand whether
> >>>>>> DataRecord is an idea to which the schema.org [6] [1] community
> >> would
> >>>>>> be receptive. An alternative approach would be to use Dataset
> >> for
> >>>>>> both records within a Dataset and the Dataset itself.
> >>>>> It is certainly a direction worth exploring and discussing.
> >>>>> One issue to think through (and I think I raised this at a
> >>>>> bioschemas f2f last year) is that "Dataset" is a very broad
> >> notion.
> >>>>> Some but not all datasets are tabular for example. And tabular
> >> (e.g.
> >>>>> csv, sql) structures have non-trivial mappings to
> >> "entity"-oriented
> >>>>> and "record"-oriented representations. Other formats will have
> >>>>> different (and possibly simpler) ideas about "records". Thinking
> >>
> >>>>> about tabular first, there are complex mapping languages like
> >> D2RQ
> >>>>> or
> >>>>>
> >> https://urldefense.proofpoint.com/v2/url?u=https-3A__www.w3.org_TR_r
> >> [10]
> >>>>>
> >>
> >
> 2rml_&d=DwIGaQ&c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQKLroB0DANNTw2d0tisoNx7KJQZ1xegXqyg&s=MYcr4sn8940aywRFbBWENNFVPxseMcirke2j3PEHUcM&e=
> >> and the RDF graph it generates versus a rows-as-records view, how
> >> would your draft design deal with multi-table datasets?
> >>>>> Nearby in this world are specs like W3C CSVW, Data Cube, ...
> >> lots of
> >>>>> overlaps. It would be great to work through some examples in
> >>>>> detail...
> >>>>> Dan
> >>>>>> Thanks
> >>>>>> Alasdair
> >>>>>> --
> >>>>>> Alasdair J G Gray
> >>>>>> Associate Professor in Computer Science, School of Mathematical
> >> and
> >>>>>> Computer Sciences Heriot-Watt University, Edinburgh, UK.
> >>>>>> Email: A.J.G.Gray@hw.ac.uk
> >>>>>> Web:
> >>>>>>
> >> https://urldefense.proofpoint.com/v2/url?u=http-3A__www.macs.hw.ac
> >> [11].
> >>>>>>
> >> uk_-7Eajg33&d=DwIGaQ&c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&
> >>>>>>
> >> r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQKLroB0DANN
> >>>>>>
> >> Tw2d0tisoNx7KJQZ1xegXqyg&s=g-Y7L58vpqNcKEE1Av3OwMNwrCN0DZuOoxkll837
> >>>>>> 5ZY&e=
> >>>>>> ORCID:
> >>>>>>
> >> https://urldefense.proofpoint.com/v2/url?u=http-3A__orcid.org_0000-
> >> [12]
> >>>>>>
> >> 2D0002-2D5711-2D4872&d=DwIGaQ&c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQ
> >>>>>>
> >> kjgspw4Y&r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQK
> >>>>>>
> >> LroB0DANNTw2d0tisoNx7KJQZ1xegXqyg&s=m2htr8bZ5GnacvnHur2nmU2ZA_whdHa
> >>>>>> qMu07RxqWC8o&e=
> >>>>>> Office: Earl Mountbatten Building 1.39
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> >>>> --
> >>>> Alasdair J G Gray
> >>>> Associate Professor in Computer Science, School of Mathematical
> >> and
> >>>> Computer Sciences Heriot-Watt University, Edinburgh, UK.
> >>>> Email: A.J.G.Gray@hw.ac.uk
> >>>> Web:
> >>>>
> >>
> > https://urldefense.proofpoint.com/v2/url?u=http-3A__www.macs.hw.ac.uk
> >> [13]
> >>>>
> >>
> > _-7Eajg33&d=DwIGaQ&c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&r=9L
> >>>>
> >>
> > vaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQKLroB0DANNTw2d0t
> >>>>
> >> isoNx7KJQZ1xegXqyg&s=g-Y7L58vpqNcKEE1Av3OwMNwrCN0DZuOoxkll8375ZY&e=
> >>>> ORCID:
> >>>>
> >>
> > https://urldefense.proofpoint.com/v2/url?u=http-3A__orcid.org_0000-2D
> >> [14]
> >>>>
> >>
> > 0002-2D5711-2D4872&d=DwIGaQ&c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgs
> >>>>
> >>
> > pw4Y&r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQKLroB0D
> >>>>
> >>
> > ANNTw2d0tisoNx7KJQZ1xegXqyg&s=m2htr8bZ5GnacvnHur2nmU2ZA_whdHaqMu07Rxq
> >>>> WC8o&e=
> >>>> Office: Earl Mountbatten Building 1.39
> >>>> Twitter: @gray_alasdair
> >>>> Links:
> >>>> ------
> >>>> [1]
> >>>>
> >>
> > https://urldefense.proofpoint.com/v2/url?u=http-3A__schema.org_&d=DwI
> >> [15]
> >>>>
> >>
> > GaQ&c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&r=9LvaCUW2sYxo387m5
> >>>>
> >>
> > TseehzDcIGIVxSis9TsUt73Qqg&m=9Do_KY8oQKLroB0DANNTw2d0tisoNx7KJQZ1xegX
> >>>> qyg&s=nbyl2sZnvQQv_BYn3lmWOze4_KC9X71SP_xPlR7OBlQ&e=
> >>>
> >>
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> >>
> >> RAFAEL C JIMENEZ
> >>
> >> ELIXIR Chief Data Architect
> >> www.elixir-europe.org [17]
> >>
> >> ELIXIR Hub, South Building
> >> Wellcome Genome Campus
> >> Hinxton, Cambridge, CB10 1SD, UK
> >> Tel: +44 (0) 1223 49 2574
> >> E-Mail: rafael.jimenez@elixir-europe.org
> >
> > --
> >
> > Alasdair J G Gray
> >
> > Associate Professor in Computer Science,
> > School of Mathematical and Computer Sciences
> > Heriot-Watt University, Edinburgh, UK.
> >
> > Email: A.J.G.Gray@hw.ac.uk
> > Web: http://www.macs.hw.ac.uk/~ajg33
> > ORCID: http://orcid.org/0000-0002-5711-4872
> > Office: Earl Mountbatten Building 1.39
> > Twitter: @gray_alasdair
> >
> >
> >
> > Links:
> > ------
> > [1]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__schema.org_Dataset&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=Gp5fC_qumut5k0Lzx4MM0A0ZpY1pBnefgjYLRfvoq2o&amp;s=67vFgGVcJBECAXw7sjFyZlMXOoCO3R_U1qoWjKcHkvg&amp;e=
> > [2]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__identifiers.org_uniprot-3AP69905&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=fcvRDFkHxKmxBT5NqR3zy23AhHgrcqxJhBrr1YQIxbc&amp;e=
> > [3]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__identifiers.org_pdb-3A4n7n&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=6bhzIha2rtBDN1b-UapJW6wNsUDYmlpTTc7RkVIwJGk&amp;e=
> > [4]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__identifiers.org_CHEBI-3A27732&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=3euSTTFX7v7hVnJZ_pNaJt_UyX-pFPSl_lvgBzDh91M&amp;e=
> > [5]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__identifiers.org_ensembl-3AENSG00000244734&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=LOx1vWRdWE3jr5V1dFSg55lp6iGm8dl6NKwu5e0xsnI&amp;e=
> > [6]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__schema.org_&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=pWdXlfBCWDRHFvEWI4bEWwBlqRlBzfaiJY2FFHH0yaM&amp;e=
> > [7]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__Schema.org&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=0dpHewweLhkTKo1BgBEW71rBPWIKeH7QrO3-TDdQ7yI&amp;e=
> > [8]
> > https://urldefense.proofpoint.com/v2/url?u=https-3A__www.blog.google_
> > [9] https://urldefense.proofpoint.com/v2/url?u=http-3A__bioschemas.org_
> > [10]
> > https://urldefense.proofpoint.com/v2/url?u=https-3A__www.w3.org_TR_r
> > [11] https://urldefense.proofpoint.com/v2/url?u=http-3A__www.macs.hw.ac
> > [12]
> > https://urldefense.proofpoint.com/v2/url?u=http-3A__orcid.org_0000-
> > [13]
> > https://urldefense.proofpoint.com/v2/url?u=http-3A__www.macs.hw.ac.uk
> > [14]
> > https://urldefense.proofpoint.com/v2/url?u=http-3A__orcid.org_0000-2D
> > [15]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__schema.org_&amp;d=DwI
> > [16]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__www.partners.org_complianceline&amp;d=DwIGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=9Do_KY8oQKLroB0DANNTw2d0tisoNx7KJQZ1xegXqyg&amp;s=PCf9hEQn8A4qGfKzVy5Tr4vuvVmHyLLNZ9hhXb6z3Rw&amp;e=
> > [17]
> >
> https://urldefense.proofpoint.com/v2/url?u=http-3A__www.elixir-2Deurope.org_&amp;d=DwMGaQ&amp;c=aFamLAsxMIDYjNglYHTMV0iqFn3z4pVFYPQkjgspw4Y&amp;r=9LvaCUW2sYxo387m5TseehzDcIGIVxSis9TsUt73Qqg&amp;m=4c6VLbGuyLBfnCbZjSqnsP4IcONzzE5HnaQt8gEBM0A&amp;s=KR4sA_rKQ8wSkfEz0yrQ7flS0WlBByOWK55z8EEX-UQ&amp;e=
> > [18] http://schema.org
>

Received on Tuesday, 2 October 2018 21:06:07 UTC